{"product_id":"amd-business-model-canvas","title":"Advanced Micro Devices, Inc. (AMD): Business Model Canvas [June-2026 Updated]","description":"\u003cp\u003eThis ready-made Business Model Canvas gives you a practical, research-based view of Advanced Micro Devices, Inc. Business, showing how it creates value through high-performance CPUs, GPUs, and AI accelerators, and captures it across data center, client, gaming, and embedded markets. You will see the core drivers behind its strategy: TSMC 2nm\/3nm manufacturing access, advanced packaging, ROCm 7, semiconductor engineering talent, and partnerships with OpenAI, Microsoft Azure, Oracle OCI, Google Cloud, Tencent Cloud, Dell, HP, Lenovo, ASE, and Amkor. It also breaks down the main revenue streams from data center chips, Ryzen, Radeon, semi-custom, and embedded products, along with the biggest cost pressures from R\u0026amp;D, wafer and packaging costs, HBM and DRAM, and supply-chain support. Use it to quickly understand Advanced Micro Devices, Inc. Business's customers, channels, and operating model for coursework, case studies, presentations, or research.\u003c\/p\u003e\u003ch2\u003eAdvanced Micro Devices, Inc. - Canvas Business Model: Key Partnerships\u003c\/h2\u003e\n\u003cp\u003eAdvanced Micro Devices, Inc. depends on a small group of high-impact partners for wafer fabrication, packaging, cloud distribution, and finished-system reach. The most visible late-2025 demand signal is the OpenAI agreement for \u003cstrong\u003e6 gigawatts\u003c\/strong\u003e of AMD GPU deployments, starting with \u003cstrong\u003e1 gigawatt\u003c\/strong\u003e and a warrant for up to \u003cstrong\u003e160 million shares\u003c\/strong\u003e of AMD common stock.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003cth\u003ePartner\u003c\/th\u003e\n\u003cth\u003ePartnership role\u003c\/th\u003e\n\u003cth\u003eReal-life numeric reference\u003c\/th\u003e\n\u003cth\u003eBusiness-model function\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTSMC\u003c\/td\u003e\n\u003ctd\u003eFoundry and advanced packaging\u003c\/td\u003e\n\u003ctd\u003e5 nm, 4 nm, 3 nm\u003c\/td\u003e\n\u003ctd\u003eWafer fabrication and packaging capacity for CPUs and AI GPUs\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOpenAI\u003c\/td\u003e\n\u003ctd\u003eAI compute buyer\u003c\/td\u003e\n\u003ctd\u003e6 gigawatts, 1 gigawatt, 160 million shares, second half of 2026\u003c\/td\u003e\n \u003ctd\u003eMulti-year demand anchor for AMD Instinct GPUs\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrosoft Azure\u003c\/td\u003e\n\u003ctd\u003ePublic cloud distribution\u003c\/td\u003e\n\u003ctd\u003eHBv4, HX, Dpsv5, Epsv5\u003c\/td\u003e\n\u003ctd\u003eEnterprise and HPC exposure through rented infrastructure\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOracle OCI\u003c\/td\u003e\n\u003ctd\u003ePublic cloud distribution\u003c\/td\u003e\n\u003ctd\u003eE4, E5\u003c\/td\u003e\n\u003ctd\u003eAMD EPYC access in enterprise cloud workloads\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGoogle Cloud\u003c\/td\u003e\n\u003ctd\u003ePublic cloud distribution\u003c\/td\u003e\n\u003ctd\u003eTau T2D, C3D\u003c\/td\u003e\n\u003ctd\u003eHigh-scale cloud workload exposure\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDell\u003c\/td\u003e\n\u003ctd\u003eOEM server channel\u003c\/td\u003e\n\u003ctd\u003ePowerEdge R7615, R7625\u003c\/td\u003e\n\u003ctd\u003eFinished-server route into data centers\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHP\u003c\/td\u003e\n\u003ctd\u003eOEM server and workstation channel\u003c\/td\u003e\n\u003ctd\u003eProLiant DL385 Gen11\u003c\/td\u003e\n\u003ctd\u003eEnterprise procurement reach\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLenovo\u003c\/td\u003e\n\u003ctd\u003eOEM server channel\u003c\/td\u003e\n\u003ctd\u003eThinkSystem SR645 V3, SR665 V3\u003c\/td\u003e\n\u003ctd\u003eBroader server-platform adoption\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTencent Cloud\u003c\/td\u003e\n\u003ctd\u003eCloud buyer and regional channel\u003c\/td\u003e\n\u003ctd\u003eAMD EPYC-based instances\u003c\/td\u003e\n\u003ctd\u003eCloud demand in China and Asia\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eASE\u003c\/td\u003e\n\u003ctd\u003eOSAT partner\u003c\/td\u003e\n\u003ctd\u003e2.5D, 3D\u003c\/td\u003e\n\u003ctd\u003eAssembly and test capacity\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAmkor\u003c\/td\u003e\n\u003ctd\u003eOSAT partner\u003c\/td\u003e\n\u003ctd\u003e2.5D, 3D\u003c\/td\u003e\n\u003ctd\u003eAssembly and test capacity\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003eTSMC foundry and advanced packaging\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eTSMC is the manufacturing choke point in Advanced Micro Devices, Inc.'s model. Advanced Micro Devices, Inc. designs chips and relies on TSMC for wafer production and advanced packaging, including portfolio parts on \u003cstrong\u003e5 nm\u003c\/strong\u003e, \u003cstrong\u003e4 nm\u003c\/strong\u003e, and \u003cstrong\u003e3 nm\u003c\/strong\u003e process nodes. That matters because AMD's CPU chiplets and AI accelerators are only as good as the capacity, yield, and packaging throughput behind them. If TSMC tightens allocation, Advanced Micro Devices, Inc. can ship fewer parts or delay launches. If yield improves, Advanced Micro Devices, Inc. can spread fixed design costs over more units, which supports margin.\u003c\/p\u003e\n\u003cul class=\"lst_crct\"\u003e\n\u003cli\u003eWafer supply affects launch timing.\u003c\/li\u003e\n\u003cli\u003eAdvanced packaging affects chiplet integration and memory integration.\u003c\/li\u003e\n \u003cli\u003eTSMC concentration increases supplier risk but gives Advanced Micro Devices, Inc. access to leading-edge nodes.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eOpenAI AI compute agreement\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThe OpenAI agreement is the clearest late-2025 example of a customer partnership becoming a strategic infrastructure commitment. Advanced Micro Devices, Inc. disclosed \u003cstrong\u003e6 gigawatts\u003c\/strong\u003e of GPU deployments, with the first \u003cstrong\u003e1 gigawatt\u003c\/strong\u003e planned for the \u003cstrong\u003esecond half of 2026\u003c\/strong\u003e using AMD Instinct MI450 Series systems. Advanced Micro Devices, Inc. also disclosed a warrant for up to \u003cstrong\u003e160 million shares\u003c\/strong\u003e of AMD common stock. That structure ties hardware demand, rollout milestones, and equity economics into one deal. For your academic work, this is a strong example of how AI demand can be linked to long-range chip supply rather than spot purchases.\u003c\/p\u003e\n\u003cul class=\"lst_crct\"\u003e\n\u003cli\u003e\n\u003cstrong\u003e6 gigawatts\u003c\/strong\u003e is the central demand number.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003e1 gigawatt\u003c\/strong\u003e starts the rollout in the \u003cstrong\u003esecond half of 2026\u003c\/strong\u003e.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003e160 million shares\u003c\/strong\u003e is the disclosed warrant size.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eMicrosoft Azure, Oracle OCI, Google Cloud\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eMicrosoft Azure, Oracle OCI, and Google Cloud are distribution partners that put AMD silicon inside public cloud capacity instead of only in direct enterprise sales. Azure uses AMD-based VM families such as HBv4, HX, Dpsv5, and Epsv5. Oracle OCI uses AMD-based E4 and E5 shapes. Google Cloud uses AMD EPYC-based Tau T2D and C3D families. These partnerships matter because cloud buyers can consume AMD infrastructure by the hour, which expands AMD's reach without Advanced Micro Devices, Inc. building a cloud business itself. They also create software validation, because developers optimize for the instance families they can actually rent.\u003c\/p\u003e\n\u003cul class=\"lst_crct\"\u003e\n\u003cli\u003eAzure uses AMD-based HBv4, HX, Dpsv5, and Epsv5 families.\u003c\/li\u003e\n \u003cli\u003eOracle OCI uses AMD-based E4 and E5 shapes.\u003c\/li\u003e\n \u003cli\u003eGoogle Cloud uses AMD-based Tau T2D and C3D families.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eDell, HP, Lenovo, Tencent Cloud\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eDell, HP, Lenovo, and Tencent Cloud extend Advanced Micro Devices, Inc. from chip supply into finished systems and regional cloud capacity. Dell's AMD-based PowerEdge line includes \u003cstrong\u003eR7615\u003c\/strong\u003e and \u003cstrong\u003eR7625\u003c\/strong\u003e. HP's AMD-based enterprise server line includes \u003cstrong\u003eProLiant DL385 Gen11\u003c\/strong\u003e. Lenovo's AMD-based server line includes \u003cstrong\u003eThinkSystem SR645 V3\u003c\/strong\u003e and \u003cstrong\u003eThinkSystem SR665 V3\u003c\/strong\u003e. Tencent Cloud adds cloud-side demand in China through AMD EPYC-based instances. These partners matter because they sit between Advanced Micro Devices, Inc. and end customers, which lowers direct sales friction and helps AMD compete in enterprise procurement where default choices often favor familiar server platforms.\u003c\/p\u003e\n\u003cul class=\"lst_crct\"\u003e\n\u003cli\u003eDell PowerEdge R7615 and R7625 place AMD in server catalogs.\u003c\/li\u003e\n \u003cli\u003eHP ProLiant DL385 Gen11 keeps AMD visible in enterprise bids.\u003c\/li\u003e\n \u003cli\u003eLenovo ThinkSystem SR645 V3 and SR665 V3 widen channel reach.\u003c\/li\u003e\n \u003cli\u003eTencent Cloud adds AMD exposure in China and Asia cloud demand.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eASE and Amkor OSAT partners\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eASE and Amkor are OSAT partners, which means outsourced semiconductor assembly and test. Their role is post-wafer: cut, assemble, package, and test chips before they go into servers or cloud deployments. For Advanced Micro Devices, Inc., that matters because advanced packages built around \u003cstrong\u003e2.5D\u003c\/strong\u003e and \u003cstrong\u003e3D\u003c\/strong\u003e integration can become a bottleneck even when wafers are available. OSAT partners add capacity, improve throughput, and reduce the risk that one part of the chain stops shipping. In a chiplet design model, back-end partners are as strategic as the foundry.\u003c\/p\u003e\n\u003cul class=\"lst_crct\"\u003e\n\u003cli\u003ePackaging capacity affects how quickly finished chips reach OEMs and cloud buyers.\u003c\/li\u003e\n \u003cli\u003eTest capacity affects yield and launch reliability.\u003c\/li\u003e\n \u003cli\u003eMultiple OSAT partners reduce single-point dependency.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eAdvanced Micro Devices, Inc. - Canvas Business Model: Key Activities\u003c\/h2\u003e\n\u003cp\u003eAdvanced Micro Devices, Inc. concentrates this block on \u003cstrong\u003echip design, software enablement, and product cadence\u003c\/strong\u003e across \u003cstrong\u003e96-core\u003c\/strong\u003e server CPUs, \u003cstrong\u003e16-core\u003c\/strong\u003e desktop CPUs, and AI accelerators with \u003cstrong\u003e192 GB\u003c\/strong\u003e to \u003cstrong\u003e288 GB\u003c\/strong\u003e of high-bandwidth memory.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003cth\u003eKey activity\u003c\/th\u003e\n\u003cth\u003eReal-life product examples\u003c\/th\u003e\n\u003cth\u003eRelevant numbers\u003c\/th\u003e\n\u003cth\u003eOperational effect\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDesign CPUs, GPUs, AI accelerators\u003c\/td\u003e\n\u003ctd\u003eInstinct MI300X, Instinct MI325X, EPYC 9004, Ryzen 9 9950X\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e192 GB\u003c\/strong\u003e HBM3; \u003cstrong\u003e5.3 TB\/s\u003c\/strong\u003e; \u003cstrong\u003e288 GB\u003c\/strong\u003e HBM3E; \u003cstrong\u003e6.0 TB\/s\u003c\/strong\u003e; \u003cstrong\u003e96\u003c\/strong\u003e cores; \u003cstrong\u003e12\u003c\/strong\u003e DDR5 channels; \u003cstrong\u003e128\u003c\/strong\u003e PCIe 5.0 lanes; \u003cstrong\u003e16\u003c\/strong\u003e cores; \u003cstrong\u003e32\u003c\/strong\u003e threads; \u003cstrong\u003e80 MB\u003c\/strong\u003e cache; up to \u003cstrong\u003e5.7 GHz\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003ctd\u003eComputing density and memory capacity define server and AI performance\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRelease annual AI product cadence\u003c\/td\u003e\n\u003ctd\u003eMI300X in 2023; MI325X in 2024; MI350 series for 2025\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e2023\u003c\/strong\u003e, \u003cstrong\u003e2024\u003c\/strong\u003e, \u003cstrong\u003e2025\u003c\/strong\u003e; about \u003cstrong\u003e12\u003c\/strong\u003e-month steps\u003c\/td\u003e\n\u003ctd\u003eRegular refreshes keep AMD in the AI accelerator cycle\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDevelop ROCm software stack\u003c\/td\u003e\n\u003ctd\u003eROCm, PyTorch, TensorFlow, JAX\u003c\/td\u003e\n\u003ctd\u003eROCm \u003cstrong\u003e6\u003c\/strong\u003e; Linux-based software support\u003c\/td\u003e\n\u003ctd\u003eSoftware readiness determines whether the silicon can run training and inference workloads\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eExpand developer ecosystem and cloud access\u003c\/td\u003e\n\u003ctd\u003eMicrosoft Azure, Oracle Cloud Infrastructure\u003c\/td\u003e\n\u003ctd\u003eAMD Instinct cloud instances\u003c\/td\u003e\n\u003ctd\u003eCloud access lowers hardware purchase barriers for developers\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOptimize server, PC, and embedded roadmaps\u003c\/td\u003e\n\u003ctd\u003eEPYC, Ryzen, Ryzen AI, embedded product families\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e96\u003c\/strong\u003e cores; \u003cstrong\u003e16\u003c\/strong\u003e cores; \u003cstrong\u003e32\u003c\/strong\u003e threads; up to \u003cstrong\u003e50 TOPS\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003ctd\u003eOne architecture base serves data center, client, AI PC, and embedded demand\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003eDesign CPUs, GPUs, AI accelerators.\u003c\/strong\u003e The server and AI hardware activity is built around chiplet-based CPUs and high-memory accelerators. EPYC 9004 uses up to \u003cstrong\u003e96 cores\u003c\/strong\u003e, \u003cstrong\u003e12\u003c\/strong\u003e DDR5 memory channels, and \u003cstrong\u003e128\u003c\/strong\u003e PCIe 5.0 lanes. Instinct MI300X pairs \u003cstrong\u003e192 GB\u003c\/strong\u003e of HBM3 with \u003cstrong\u003e5.3 TB\/s\u003c\/strong\u003e of bandwidth. Instinct MI325X raises that to \u003cstrong\u003e288 GB\u003c\/strong\u003e of HBM3E and \u003cstrong\u003e6.0 TB\/s\u003c\/strong\u003e of bandwidth. Ryzen 9 9950X uses \u003cstrong\u003e16 cores\u003c\/strong\u003e, \u003cstrong\u003e32 threads\u003c\/strong\u003e, \u003cstrong\u003e80 MB\u003c\/strong\u003e cache, and boost clocks up to \u003cstrong\u003e5.7 GHz\u003c\/strong\u003e.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e96\u003c\/strong\u003e cores on EPYC 9004\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e12\u003c\/strong\u003e DDR5 channels on EPYC 9004\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e128\u003c\/strong\u003e PCIe 5.0 lanes on EPYC 9004\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e192 GB\u003c\/strong\u003e HBM3 on Instinct MI300X\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e288 GB\u003c\/strong\u003e HBM3E on Instinct MI325X\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e5.3 TB\/s\u003c\/strong\u003e bandwidth on Instinct MI300X\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e6.0 TB\/s\u003c\/strong\u003e bandwidth on Instinct MI325X\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e16\u003c\/strong\u003e cores and \u003cstrong\u003e32\u003c\/strong\u003e threads on Ryzen 9 9950X\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e80 MB\u003c\/strong\u003e cache on Ryzen 9 9950X\u003c\/li\u003e\n\u003cli\u003eup to \u003cstrong\u003e5.7 GHz\u003c\/strong\u003e boost on Ryzen 9 9950X\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eRelease annual AI product cadence.\u003c\/strong\u003e AMD moved from MI300X in \u003cstrong\u003e2023\u003c\/strong\u003e to MI325X in \u003cstrong\u003e2024\u003c\/strong\u003e, with the MI350 series announced for \u003cstrong\u003e2025\u003c\/strong\u003e. That creates about \u003cstrong\u003e12\u003c\/strong\u003e-month steps in the AI accelerator line. The jump from \u003cstrong\u003e192 GB\u003c\/strong\u003e to \u003cstrong\u003e288 GB\u003c\/strong\u003e of high-bandwidth memory is the most visible hardware step in the cycle.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003cth\u003eYear\u003c\/th\u003e\n\u003cth\u003eAI product\u003c\/th\u003e\n\u003cth\u003ePublicly disclosed spec\u003c\/th\u003e\n\u003cth\u003eCadence signal\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e2023\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eInstinct MI300X\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e192 GB\u003c\/strong\u003e HBM3; \u003cstrong\u003e5.3 TB\/s\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003ctd\u003eStart of the current annual AI cycle\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e2024\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eInstinct MI325X\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e288 GB\u003c\/strong\u003e HBM3E; \u003cstrong\u003e6.0 TB\/s\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003ctd\u003eMemory-capacity and bandwidth step-up\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e2025\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eInstinct MI350 series\u003c\/td\u003e\n\u003ctd\u003eAnnounced for \u003cstrong\u003e2025\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003ctd\u003eNext annual refresh point\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003eDevelop ROCm software stack.\u003c\/strong\u003e ROCm is the software layer that lets AMD hardware run AI and HPC workloads. The stack matters because chips alone do not win training or inference deals if the software cannot run common frameworks. ROCm support centers on \u003cstrong\u003eLinux\u003c\/strong\u003e and frameworks such as \u003cstrong\u003ePyTorch\u003c\/strong\u003e, \u003cstrong\u003eTensorFlow\u003c\/strong\u003e, and \u003cstrong\u003eJAX\u003c\/strong\u003e. In practical terms, this activity turns GPU and accelerator silicon into a usable platform for model training, model fine-tuning, and inference deployment.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eROCm 6\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003eLinux\u003c\/li\u003e\n\u003cli\u003ePyTorch\u003c\/li\u003e\n\u003cli\u003eTensorFlow\u003c\/li\u003e\n\u003cli\u003eJAX\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eExpand developer ecosystem and cloud access.\u003c\/strong\u003e AMD's ecosystem work shows up in cloud instances and developer access to Instinct hardware without direct chip purchases. Named cloud channels include Microsoft Azure and Oracle Cloud Infrastructure. This matters because cloud availability lowers the barrier for testing, porting, and scaling AI workloads on AMD hardware. It also creates reference environments that software teams can standardize around when they build and deploy models.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003eMicrosoft Azure\u003c\/li\u003e\n\u003cli\u003eOracle Cloud Infrastructure\u003c\/li\u003e\n\u003cli\u003eAMD Instinct\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eOptimize server, PC, and embedded roadmaps.\u003c\/strong\u003e The roadmap is split across data center, client, AI PC, and embedded markets. EPYC covers server workloads with up to \u003cstrong\u003e96 cores\u003c\/strong\u003e and \u003cstrong\u003e128\u003c\/strong\u003e PCIe 5.0 lanes. Ryzen 9 9950X covers desktop with \u003cstrong\u003e16 cores\u003c\/strong\u003e, \u003cstrong\u003e32 threads\u003c\/strong\u003e, \u003cstrong\u003e80 MB\u003c\/strong\u003e cache, and boost clocks up to \u003cstrong\u003e5.7 GHz\u003c\/strong\u003e. Ryzen AI 300 series targets AI PCs with up to \u003cstrong\u003e50 TOPS\u003c\/strong\u003e, above the \u003cstrong\u003e40 TOPS\u003c\/strong\u003e Copilot+ PC threshold. Embedded families extend the same architecture into industrial, networking, and edge systems with longer product lifecycles.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003cth\u003eEnd market\u003c\/th\u003e\n\u003cth\u003eProduct family\u003c\/th\u003e\n\u003cth\u003eNumeric design target\u003c\/th\u003e\n\u003cth\u003eWhy it matters\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eServer\u003c\/td\u003e\n\u003ctd\u003eEPYC 9004\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e96\u003c\/strong\u003e cores; \u003cstrong\u003e12\u003c\/strong\u003e DDR5 channels; \u003cstrong\u003e128\u003c\/strong\u003e PCIe 5.0 lanes\u003c\/td\u003e\n\u003ctd\u003eSupports high-density compute and memory bandwidth\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDesktop PC\u003c\/td\u003e\n\u003ctd\u003eRyzen 9 9950X\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e16\u003c\/strong\u003e cores; \u003cstrong\u003e32\u003c\/strong\u003e threads; \u003cstrong\u003e80 MB\u003c\/strong\u003e cache; up to \u003cstrong\u003e5.7 GHz\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003ctd\u003eTargets performance desktops and enthusiast buyers\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI PC\u003c\/td\u003e\n\u003ctd\u003eRyzen AI 300 series\u003c\/td\u003e\n\u003ctd\u003eUp to \u003cstrong\u003e50 TOPS\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003ctd\u003eTargets local AI features and Copilot+ PC class systems\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEmbedded\u003c\/td\u003e\n\u003ctd\u003eEmbedded product families\u003c\/td\u003e\n\u003ctd\u003eLong-life industrial and edge cycles\u003c\/td\u003e\n\u003ctd\u003eExtends AMD architecture into systems with longer replacement periods\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e96\u003c\/strong\u003e cores for server CPUs\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e16\u003c\/strong\u003e cores for desktop CPUs\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e50 TOPS\u003c\/strong\u003e for AI PC-class processing\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e40 TOPS\u003c\/strong\u003e Copilot+ PC threshold\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e128\u003c\/strong\u003e PCIe 5.0 lanes for server expansion\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eAdvanced Micro Devices, Inc. - Canvas Business Model: Key Resources\u003c\/h2\u003e\n\u003cp\u003eAdvanced Micro Devices, Inc. relies on \u003cstrong\u003e16%\u003c\/strong\u003e Zen 5 IPC uplift, EPYC CPUs with up to \u003cstrong\u003e192\u003c\/strong\u003e cores, Instinct MI300X with \u003cstrong\u003e192 GB\u003c\/strong\u003e of HBM3, Instinct MI325X with \u003cstrong\u003e288 GB\u003c\/strong\u003e of HBM3e, and TSMC \u003cstrong\u003e3 nm\u003c\/strong\u003e and \u003cstrong\u003e2 nm\u003c\/strong\u003e capacity.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eZen, EPYC, Ryzen, Instinct IP\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul class=\"lst_crct\"\u003e\n\u003cli\u003eZen 5: \u003cstrong\u003e16%\u003c\/strong\u003e average IPC uplift over Zen 4.\u003c\/li\u003e\n\u003cli\u003eEPYC Turin: up to \u003cstrong\u003e192\u003c\/strong\u003e cores.\u003c\/li\u003e\n\u003cli\u003eRyzen 9 9950X: \u003cstrong\u003e16\u003c\/strong\u003e cores, \u003cstrong\u003e32\u003c\/strong\u003e threads, up to \u003cstrong\u003e5.7 GHz\u003c\/strong\u003e boost.\u003c\/li\u003e\n\u003cli\u003eRyzen AI 300 series: up to \u003cstrong\u003e50 TOPS\u003c\/strong\u003e.\u003c\/li\u003e\n\u003cli\u003eInstinct MI300X: \u003cstrong\u003e192 GB\u003c\/strong\u003e HBM3 and \u003cstrong\u003e5.3 TB\/s\u003c\/strong\u003e bandwidth.\u003c\/li\u003e\n\u003cli\u003eInstinct MI325X: \u003cstrong\u003e288 GB\u003c\/strong\u003e HBM3e and \u003cstrong\u003e6.0 TB\/s\u003c\/strong\u003e bandwidth.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eResource\u003c\/td\u003e\n\u003ctd\u003eReal-life number\u003c\/td\u003e\n\u003ctd\u003eBusiness role\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eZen 5\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e16%\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eCPU core IP for Ryzen and EPYC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEPYC Turin\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e192\u003c\/strong\u003e cores\u003c\/td\u003e\n\u003ctd\u003eServer CPU scaling\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRyzen 9 9950X\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e16\u003c\/strong\u003e cores, \u003cstrong\u003e32\u003c\/strong\u003e threads, \u003cstrong\u003e5.7 GHz\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003ctd\u003eDesktop CPU performance\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRyzen AI 300 series\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e50 TOPS\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eOn-device AI capability\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInstinct MI300X\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e192 GB\u003c\/strong\u003e, \u003cstrong\u003e5.3 TB\/s\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003ctd\u003eAI training and inference\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInstinct MI325X\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e288 GB\u003c\/strong\u003e, \u003cstrong\u003e6.0 TB\/s\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003ctd\u003eHigh-memory AI acceleration\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003eROCm software stack and developer cloud\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eROCm \u003cstrong\u003e6.x\u003c\/strong\u003e is the GPU software stack, and developer cloud access ties software work to Instinct hardware access.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eCash and free cash flow\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul class=\"lst_crct\"\u003e\n\u003cli\u003e2023 revenue: \u003cstrong\u003e$22.68 billion\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003eQ1 2024 revenue: \u003cstrong\u003e$5.47 billion\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003eQ1 2024 gross margin: \u003cstrong\u003e47%\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003eQ1 2024 data center revenue: \u003cstrong\u003e$2.3 billion\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003eQ1 2024 client revenue: \u003cstrong\u003e$1.4 billion\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003eQ1 2024 gaming revenue: \u003cstrong\u003e$0.9 billion\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003eQ1 2024 embedded revenue: \u003cstrong\u003e$0.8 billion\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eMetric\u003c\/td\u003e\n\u003ctd\u003eNumber\u003c\/td\u003e\n\u003ctd\u003eBusiness role\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e2023 revenue\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e$22.68 billion\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eInternal funding base\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eQ1 2024 revenue\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e$5.47 billion\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRecent cash generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eQ1 2024 gross margin\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e47%\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMargin support for free cash flow\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eQ1 2024 data center revenue\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e$2.3 billion\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAI and server monetization\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eQ1 2024 client revenue\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e$1.4 billion\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePC revenue base\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eQ1 2024 gaming revenue\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e$0.9 billion\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eConsole and graphics cash flow\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eQ1 2024 embedded revenue\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e$0.8 billion\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eIndustrial and embedded stability\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003eSemiconductor engineers and AI talent\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eAdvanced Micro Devices, Inc. had approximately \u003cstrong\u003e26,000\u003c\/strong\u003e employees worldwide at the end of 2023.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eResource\u003c\/td\u003e\n\u003ctd\u003eReal-life number\u003c\/td\u003e\n\u003ctd\u003eBusiness role\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWorldwide employees\u003c\/td\u003e\n\u003ctd\u003eApproximately \u003cstrong\u003e26,000\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003ctd\u003eCPU design, GPU design, verification, software, and customer support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003eTSMC 2nm\/3nm manufacturing access\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eTSMC 3 nm\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e2022\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMass production\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTSMC 2 nm\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e2025\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eVolume production target\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003eAccess to \u003cstrong\u003e3 nm\u003c\/strong\u003e and \u003cstrong\u003e2 nm\u003c\/strong\u003e capacity supports higher transistor density, lower power, and denser chiplet integration.\u003c\/p\u003e\u003ch2\u003eAdvanced Micro Devices, Inc. - Canvas Business Model: Value Propositions\u003c\/h2\u003e\n\u003cp\u003eAdvanced Micro Devices, Inc. sells high-performance CPUs, GPUs, and adaptive silicon across data center, client, gaming, and embedded markets, and in 2024 it reported \u003cstrong\u003e$25.785B\u003c\/strong\u003e in revenue, \u003cstrong\u003e49%\u003c\/strong\u003e gross margin, and \u003cstrong\u003e$1.9B\u003c\/strong\u003e in operating income.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eValue proposition\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eReal-life proof points\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eBusiness effect\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHigh-performance CPU and GPU computing\u003c\/td\u003e\n\u003ctd\u003e5th Gen EPYC processors with up to \u003cstrong\u003e192\u003c\/strong\u003e cores; Instinct MI300X with \u003cstrong\u003e192GB\u003c\/strong\u003e HBM3 and \u003cstrong\u003e5.3TB\/s\u003c\/strong\u003e memory bandwidth; MI325X with \u003cstrong\u003e256GB\u003c\/strong\u003e HBM3E and \u003cstrong\u003e6.0TB\/s\u003c\/strong\u003e bandwidth\u003c\/td\u003e\n \u003ctd\u003eMore compute density and more memory per accelerator for server, AI, and HPC workloads\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBetter AI inference cost efficiency\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e192GB\u003c\/strong\u003e and \u003cstrong\u003e256GB\u003c\/strong\u003e memory capacities; \u003cstrong\u003e5.3TB\/s\u003c\/strong\u003e and \u003cstrong\u003e6.0TB\/s\u003c\/strong\u003e bandwidth; ZT Systems acquisition price \u003cstrong\u003e$4.9B\u003c\/strong\u003e\n\u003c\/td\u003e\n \u003ctd\u003eSupports larger models with fewer accelerators and gives Advanced Micro Devices, Inc. more control over AI system design\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOpen software and ecosystem flexibility\u003c\/td\u003e\n\u003ctd\u003eROCm software stack; x86 CPU ecosystem; standard data center deployment model\u003c\/td\u003e\n \u003ctd\u003eReduces software lock-in and makes adoption easier for customers already using open tooling and existing server fleets\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpecialized silicon for AI, HPC, sovereign workloads\u003c\/td\u003e\n \u003ctd\u003eXilinx acquisition price \u003cstrong\u003e$49B\u003c\/strong\u003e; ZT Systems acquisition price \u003cstrong\u003e$4.9B\u003c\/strong\u003e; accelerator and CPU portfolio built for custom deployments\u003c\/td\u003e\n \u003ctd\u003eExtends the offer from standalone chips to full systems for regulated, on-premises, and custom AI environments\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBroad portfolio across data center to embedded\u003c\/td\u003e\n \u003ctd\u003e2024 revenue: Data Center \u003cstrong\u003e$12.577B\u003c\/strong\u003e, Client \u003cstrong\u003e$7.055B\u003c\/strong\u003e, Gaming \u003cstrong\u003e$2.603B\u003c\/strong\u003e, Embedded \u003cstrong\u003e$3.549B\u003c\/strong\u003e\n\u003c\/td\u003e\n \u003ctd\u003eDiversifies demand across four end markets and creates cross-selling opportunities across compute categories\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003eHigh-performance CPU and GPU computing\u003c\/strong\u003e is the core value proposition. In servers, the company's \u003cstrong\u003e192\u003c\/strong\u003e-core EPYC CPUs and high-bandwidth accelerators are built to increase the amount of work done per socket, per rack, and per deployment. That matters because data center buyers pay for compute, memory, power, and space together, not in isolation. The MI300X's \u003cstrong\u003e192GB\u003c\/strong\u003e of HBM3 and \u003cstrong\u003e5.3TB\/s\u003c\/strong\u003e of bandwidth, plus the MI325X's \u003cstrong\u003e256GB\u003c\/strong\u003e and \u003cstrong\u003e6.0TB\/s\u003c\/strong\u003e, show that the company is selling capacity as much as raw compute.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eBetter AI inference cost efficiency\u003c\/strong\u003e is a separate value proposition from training. Inference is the phase where a trained model answers requests, and it runs repeatedly after training is done. Bigger memory pools and higher bandwidth help keep more of the model on one accelerator instead of splitting it across multiple devices. The MI300X and MI325X numbers matter here: \u003cstrong\u003e192GB\u003c\/strong\u003e, \u003cstrong\u003e256GB\u003c\/strong\u003e, \u003cstrong\u003e5.3TB\/s\u003c\/strong\u003e, and \u003cstrong\u003e6.0TB\/s\u003c\/strong\u003e are the hardware facts that support the cost argument.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eOpen software and ecosystem flexibility\u003c\/strong\u003e is part of the selling point because customers want hardware that fits existing tools. Advanced Micro Devices, Inc. pushes ROCm as its software stack and relies on the x86 ecosystem that many enterprises already run. That lowers switching friction for buyers that want to move workloads without rebuilding every application layer. For academic work, this is important because it explains why the company can compete even when it is not the only vendor with high-end silicon.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eSpecialized silicon for AI, HPC, and sovereign workloads\u003c\/strong\u003e matters because not every buyer wants a generic cloud setup. Sovereign workloads often require local control, on-premises deployment, and tighter data handling. Advanced Micro Devices, Inc. expanded into adaptive compute with the \u003cstrong\u003e$49B\u003c\/strong\u003e Xilinx acquisition and added AI systems capability through the \u003cstrong\u003e$4.9B\u003c\/strong\u003e ZT Systems deal. Those numbers show that the value proposition goes beyond chips alone and into platform and systems delivery.\u003c\/p\u003e\n\n\u003cul class=\"lst_crct\"\u003e\n\u003cli\u003eData center buyers want \u003cstrong\u003e192\u003c\/strong\u003e-core CPUs and accelerators with \u003cstrong\u003e192GB\u003c\/strong\u003e to \u003cstrong\u003e256GB\u003c\/strong\u003e of memory.\u003c\/li\u003e\n \u003cli\u003eAI buyers want inference density tied to \u003cstrong\u003e5.3TB\/s\u003c\/strong\u003e and \u003cstrong\u003e6.0TB\/s\u003c\/strong\u003e memory bandwidth.\u003c\/li\u003e\n \u003cli\u003eSoftware teams want ROCm and x86 compatibility instead of a closed stack.\u003c\/li\u003e\n \u003cli\u003eGovernment and regulated buyers want controlled deployments and system-level design options.\u003c\/li\u003e\n \u003cli\u003eOEM, console, and embedded customers want a supplier that spans four revenue segments.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eBroad portfolio across data center to embedded\u003c\/strong\u003e is one of the clearest canvas-level value propositions. In 2024, Advanced Micro Devices, Inc. generated \u003cstrong\u003e$12.577B\u003c\/strong\u003e from Data Center, \u003cstrong\u003e$7.055B\u003c\/strong\u003e from Client, \u003cstrong\u003e$2.603B\u003c\/strong\u003e from Gaming, and \u003cstrong\u003e$3.549B\u003c\/strong\u003e from Embedded. That means Data Center represented \u003cstrong\u003e48.8%\u003c\/strong\u003e of total revenue, Client \u003cstrong\u003e27.4%\u003c\/strong\u003e, Gaming \u003cstrong\u003e10.1%\u003c\/strong\u003e, and Embedded \u003cstrong\u003e13.8%\u003c\/strong\u003e. The mix shows that the company sells compute from enterprise servers down to edge and embedded systems.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e2024 segment\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eRevenue\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eShare of total revenue\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eData Center\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e$12.577B\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e48.8%\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eClient\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e$7.055B\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e27.4%\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGaming\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e$2.603B\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e10.1%\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEmbedded\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e$3.549B\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e13.8%\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTotal\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e$25.785B\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e100.0%\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003eClient-side compute\u003c\/strong\u003e also supports the value proposition across notebooks and desktops. Advanced Micro Devices, Inc. has client processors with up to \u003cstrong\u003e50\u003c\/strong\u003e AI TOPS, which gives it a way to sell local AI features into consumer and commercial PCs. That matters because the same company can sell into servers and personal computers, which broadens demand sources and reduces reliance on one market cycle.\u003c\/p\u003e\n\n\u003cul class=\"lst_crct\"\u003e\n\u003cli\u003e\n\u003cstrong\u003e192\u003c\/strong\u003e cores in 5th Gen EPYC\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003e192GB\u003c\/strong\u003e HBM3 in MI300X\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e256GB\u003c\/strong\u003e HBM3E in MI325X\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e5.3TB\/s\u003c\/strong\u003e bandwidth in MI300X\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003e6.0TB\/s\u003c\/strong\u003e bandwidth in MI325X\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003e$49B\u003c\/strong\u003e Xilinx acquisition\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003e$4.9B\u003c\/strong\u003e ZT Systems acquisition\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003e$25.785B\u003c\/strong\u003e 2024 revenue\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e49%\u003c\/strong\u003e gross margin in 2024\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eAdvanced Micro Devices, Inc. - Canvas Business Model: Customer Relationships\u003c\/h2\u003e\n\u003cp\u003eAMD's customer relationships are built on multi-year engineering, deployment, and support cycles. The clearest public proof is Frontier, which uses \u003cstrong\u003e9,408\u003c\/strong\u003e compute nodes and \u003cstrong\u003e37,632\u003c\/strong\u003e AMD Instinct MI250X GPUs.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003cth\u003eRelationship pattern\u003c\/th\u003e\n\u003cth\u003eReal-life numeric anchor\u003c\/th\u003e\n\u003cth\u003eCustomer relationship effect\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLong-term enterprise and cloud co-development\u003c\/td\u003e\n\u003ctd\u003eFrontier: \u003cstrong\u003e9,408\u003c\/strong\u003e compute nodes and \u003cstrong\u003e37,632\u003c\/strong\u003e AMD Instinct MI250X GPUs\u003c\/td\u003e\n\u003ctd\u003eJoint validation, integration, and deployment support across a large system\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDirect strategic account management\u003c\/td\u003e\n\u003ctd\u003e2023 revenue of \u003cstrong\u003e$22.68 billion\u003c\/strong\u003e across \u003cstrong\u003e4\u003c\/strong\u003e segments\u003c\/td\u003e\n\u003ctd\u003eLarge-account selling across Data Center, Client, Gaming, and Embedded\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDeveloper community engagement through ROCm\u003c\/td\u003e\n\u003ctd\u003eEPYC 9004 up to \u003cstrong\u003e96\u003c\/strong\u003e cores; \u003cstrong\u003e12\u003c\/strong\u003e DDR5 channels; \u003cstrong\u003e128\u003c\/strong\u003e PCIe 5.0 lanes; MI300X with \u003cstrong\u003e192GB\u003c\/strong\u003e HBM3\u003c\/td\u003e\n\u003ctd\u003eSoftware tuning around memory size, core count, and I\/O\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOEM and partner-led support\u003c\/td\u003e\n\u003ctd\u003eEPYC and Instinct platforms sold through Dell Technologies, Hewlett Packard Enterprise, Lenovo, and Supermicro\u003c\/td\u003e\n\u003ctd\u003ePartner qualification, installation, and field service\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMulti-year supply and deployment programs\u003c\/td\u003e\n\u003ctd\u003eFrontier deployment began in \u003cstrong\u003e2022\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003ctd\u003eRecurring support, upgrades, and capacity planning after the initial sale\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003eLong-term enterprise and cloud co-development.\u003c\/strong\u003e AMD's strongest customer ties sit in systems that are built and validated over time. EPYC 9004 processors scale to \u003cstrong\u003e96\u003c\/strong\u003e cores with \u003cstrong\u003e12\u003c\/strong\u003e DDR5 memory channels and \u003cstrong\u003e128\u003c\/strong\u003e PCIe 5.0 lanes, while MI300X carries \u003cstrong\u003e192GB\u003c\/strong\u003e of HBM3. Those numbers matter because cloud and enterprise customers buy for memory capacity, parallelism, and I\/O headroom, not just chip count. Frontier shows the same model at scale: \u003cstrong\u003e9,408\u003c\/strong\u003e nodes and \u003cstrong\u003e37,632\u003c\/strong\u003e GPUs make the relationship a system program, not a single sale.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eDirect strategic account management.\u003c\/strong\u003e AMD reported \u003cstrong\u003e$22.68 billion\u003c\/strong\u003e in revenue in 2023 across \u003cstrong\u003e4\u003c\/strong\u003e segments: Data Center, Client, Gaming, and Embedded. That structure means the customer relationship is not one-size-fits-all. Large accounts need platform reviews, technical validation, supply visibility, and road-map alignment because one deployment can affect orders across more than one segment. The business model depends on account-level attention where the buyer is deciding on processor generations, accelerator fit, and deployment timing.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eDeveloper community engagement through ROCm.\u003c\/strong\u003e ROCm is the software layer that keeps developers tied to AMD hardware. The practical hook is hardware scale: EPYC 9004 reaches \u003cstrong\u003e96\u003c\/strong\u003e cores, and MI300X offers \u003cstrong\u003e192GB\u003c\/strong\u003e of HBM3, which shapes how developers fit models, allocate memory, and tune performance. For AI and HPC users, these numbers are part of the software conversation because code has to match the hardware envelope before production deployment.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eOEM and partner-led support.\u003c\/strong\u003e AMD uses partner channels through Dell Technologies, Hewlett Packard Enterprise, Lenovo, and Supermicro. That matters because enterprise buyers usually want the system builder and the chip vendor aligned on qualification and service. The repeated numeric targets are the same across those channels: \u003cstrong\u003e96\u003c\/strong\u003e cores on EPYC 9004, \u003cstrong\u003e12\u003c\/strong\u003e memory channels, \u003cstrong\u003e128\u003c\/strong\u003e PCIe 5.0 lanes, and \u003cstrong\u003e192GB\u003c\/strong\u003e on MI300X. Those specs make partner support more standardized across different server and accelerator configurations.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eMulti-year supply and deployment programs.\u003c\/strong\u003e Frontier began deployment in \u003cstrong\u003e2022\u003c\/strong\u003e, and its scale of \u003cstrong\u003e9,408\u003c\/strong\u003e nodes and \u003cstrong\u003e37,632\u003c\/strong\u003e GPUs shows why the customer relationship stays active after the initial sale. The ongoing work includes software tuning, hardware support, and capacity planning. That is the same logic behind AMD's broader enterprise and cloud relationships: the customer does not just buy silicon, it commits to a platform that has to keep running for years.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e9,408\u003c\/strong\u003e Frontier compute nodes\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e37,632\u003c\/strong\u003e AMD Instinct MI250X GPUs\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e96\u003c\/strong\u003e EPYC 9004 cores\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e12\u003c\/strong\u003e DDR5 memory channels\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e128\u003c\/strong\u003e PCIe 5.0 lanes\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e192GB\u003c\/strong\u003e HBM3 on MI300X\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e$22.68 billion\u003c\/strong\u003e AMD revenue in 2023\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e4\u003c\/strong\u003e reporting segments\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eAdvanced Micro Devices, Inc. - Canvas Business Model: Channels\u003c\/h2\u003e\n\u003cp\u003eAMD reported \u003cstrong\u003e$22.7 billion\u003c\/strong\u003e in revenue in 2023, with \u003cstrong\u003e$6.5 billion\u003c\/strong\u003e from Data Center, \u003cstrong\u003e$4.4 billion\u003c\/strong\u003e from Client, \u003cstrong\u003e$6.2 billion\u003c\/strong\u003e from Gaming, and \u003cstrong\u003e$5.6 billion\u003c\/strong\u003e from Embedded. The channel mix spans \u003cstrong\u003e3\u003c\/strong\u003e OEM names, \u003cstrong\u003e4\u003c\/strong\u003e named cloud platforms, and \u003cstrong\u003e1\u003c\/strong\u003e developer cloud.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003cth\u003eChannel\u003c\/th\u003e\n\u003cth\u003eReal-life facts\u003c\/th\u003e\n\u003cth\u003eNumber or amount\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDirect sales to hyperscalers\u003c\/td\u003e\n\u003ctd\u003eEPYC CPUs and Instinct accelerators sold directly into large cloud and data center accounts\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e$6.5 billion\u003c\/strong\u003e Data Center revenue in 2023\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOEM channels via Dell, HP, Lenovo\u003c\/td\u003e\n\u003ctd\u003eCommercial PCs, workstations, and servers sold through 3 OEM routes\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e$4.4 billion\u003c\/strong\u003e Client revenue in 2023\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCloud deployments through Azure, OCI, Google Cloud, Tencent Cloud\u003c\/td\u003e\n\u003ctd\u003eAMD-based instances and hosted compute on 4 named cloud platforms\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e4\u003c\/strong\u003e cloud platforms\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAMD Developer Cloud\u003c\/td\u003e\n\u003ctd\u003eDeveloper access environment announced in 2024\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e2024\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eConsumer retail and system integrators\u003c\/td\u003e\n\u003ctd\u003eRetail shelves, e-tailers, and integrators selling consumer processors and graphics cards\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e$6.2 billion\u003c\/strong\u003e Gaming revenue in 2023\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003eDirect sales to hyperscalers\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e$6.5 billion\u003c\/strong\u003e Data Center revenue in 2023.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e1\u003c\/strong\u003e channel route for EPYC CPUs and Instinct accelerators into hyperscale buyers.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eOEM channels via Dell, HP, Lenovo\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e3\u003c\/strong\u003e OEM names: Dell, HP, Lenovo.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e$4.4 billion\u003c\/strong\u003e Client revenue in 2023.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eCloud deployments through Azure, OCI, Google Cloud, Tencent Cloud\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e4\u003c\/strong\u003e named cloud platforms.\u003c\/p\u003e\n\u003cp\u003eAzure, OCI, Google Cloud, and Tencent Cloud.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eAMD Developer Cloud\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e2024\u003c\/strong\u003e launch year.\u003c\/p\u003e\n\u003cp\u003eAMD Instinct MI300X access.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eConsumer retail and system integrators\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e$6.2 billion\u003c\/strong\u003e Gaming revenue in 2023.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e5.6 billion\u003c\/strong\u003e Embedded revenue in 2023.\u003c\/p\u003e\n\n\u003cul class=\"lst_crct\"\u003e\n\u003cli\u003e\n\u003cstrong\u003e22.7 billion\u003c\/strong\u003e total revenue in 2023\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e6.5 billion\u003c\/strong\u003e Data Center revenue in 2023\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e4.4 billion\u003c\/strong\u003e Client revenue in 2023\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e6.2 billion\u003c\/strong\u003e Gaming revenue in 2023\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e5.6 billion\u003c\/strong\u003e Embedded revenue in 2023\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e3\u003c\/strong\u003e OEM names: Dell, HP, Lenovo\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e4\u003c\/strong\u003e cloud platforms: Azure, OCI, Google Cloud, Tencent Cloud\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e1\u003c\/strong\u003e AMD Developer Cloud\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eAdvanced Micro Devices, Inc. - Canvas Business Model: Customer Segments\u003c\/h2\u003e\n\u003cp\u003eAMD's 2023 customer base mapped to \u003cstrong\u003e$22.682B\u003c\/strong\u003e of revenue across \u003cstrong\u003e$6.495B\u003c\/strong\u003e Data Center, \u003cstrong\u003e$4.576B\u003c\/strong\u003e Client, \u003cstrong\u003e$6.242B\u003c\/strong\u003e Gaming, and \u003cstrong\u003e$5.369B\u003c\/strong\u003e Embedded.\u003c\/p\u003e\n\u003cp\u003eThat mix points to five core buyer groups: hyperscale cloud providers, enterprise AI and HPC customers, PC OEMs and commercial buyers, gaming and console partners, and industrial, automotive, and embedded customers.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCustomer segment\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e2023 revenue\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eShare of $22.682B\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003ePrimary buyers\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eNumeric proof point\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHyperscale cloud providers\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e$6.495B\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e28.6%\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eLarge cloud operators\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e1.102 exaflops\u003c\/strong\u003e Frontier system\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEnterprise AI and HPC customers\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e$6.495B\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e28.6%\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eSupercomputing centers, labs, enterprises\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e1\u003c\/strong\u003e exascale-class public benchmark above \u003cstrong\u003e1 exaflop\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePC OEMs and commercial buyers\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e$4.576B\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e20.2%\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNotebook and desktop OEMs, enterprise IT buyers\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e20.2%\u003c\/strong\u003e of total revenue\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGaming and console partners\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e$6.242B\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e27.5%\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eConsole partners and graphics buyers\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e2\u003c\/strong\u003e major console ecosystems\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIndustrial, automotive, and embedded customers\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e$5.369B\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e23.7%\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eIndustrial, automotive, networking, communications\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e23.7%\u003c\/strong\u003e of total revenue\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003eHyperscale cloud providers\u003c\/strong\u003e sit inside the \u003cstrong\u003e$6.495B\u003c\/strong\u003e Data Center segment and represented \u003cstrong\u003e28.6%\u003c\/strong\u003e of AMD's 2023 revenue. The customer logic is simple: a small number of very large cloud operators buy high-volume server CPUs and accelerators, and a single public proof point for this demand is Frontier at \u003cstrong\u003e1.102 exaflops\u003c\/strong\u003e. The size of the segment matters because cloud buying ties to multi-rack deployments, not one-off unit sales.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eEnterprise AI and HPC customers\u003c\/strong\u003e also sit inside the \u003cstrong\u003e$6.495B\u003c\/strong\u003e Data Center segment, so the same revenue pool serves both cloud and non-cloud compute demand. The key numeric signal is \u003cstrong\u003e1.102 exaflops\u003c\/strong\u003e, which shows AMD silicon in exascale-class computing. For academic work, this segment is best treated as a mix of training, inference, simulation, and scientific computing demand, all tied to high-value system purchases rather than low-margin commodity volume.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003ePC OEMs and commercial buyers\u003c\/strong\u003e generated \u003cstrong\u003e$4.576B\u003c\/strong\u003e of 2023 revenue in the Client segment, or \u003cstrong\u003e20.2%\u003c\/strong\u003e of AMD's total. This segment covers notebook and desktop OEM orders plus commercial PC demand. The number matters because PC demand is more cyclical than Data Center, so a \u003cstrong\u003e$4.576B\u003c\/strong\u003e revenue base gives AMD a large but more volatile buyer group than cloud and embedded.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eGaming and console partners\u003c\/strong\u003e produced \u003cstrong\u003e$6.242B\u003c\/strong\u003e of 2023 revenue, equal to \u003cstrong\u003e27.5%\u003c\/strong\u003e of total revenue. That makes Gaming one of AMD's largest customer pools. The segment is anchored by \u003cstrong\u003e2\u003c\/strong\u003e major console ecosystems and by discrete graphics demand. The size of the segment matters because semi-custom console programs and graphics demand can move materially with hardware cycles and unit refresh timing.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eIndustrial, automotive, and embedded customers\u003c\/strong\u003e generated \u003cstrong\u003e$5.369B\u003c\/strong\u003e in 2023, or \u003cstrong\u003e23.7%\u003c\/strong\u003e of AMD's total revenue. This segment is important because it combines industrial, automotive, networking, and communications demand in products that usually have longer lifecycle expectations than PC parts. The \u003cstrong\u003e$5.369B\u003c\/strong\u003e figure shows that embedded is not a niche line for AMD; it is nearly as large as Client and close to Gaming.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e$6.495B\u003c\/strong\u003e Data Center revenue served both hyperscale cloud and enterprise AI\/HPC buyers.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e$4.576B\u003c\/strong\u003e Client revenue served PC OEMs and commercial buyers.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e$6.242B\u003c\/strong\u003e Gaming revenue served console partners and graphics buyers.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e$5.369B\u003c\/strong\u003e Embedded revenue served industrial and automotive demand.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e$22.682B\u003c\/strong\u003e total 2023 revenue spread across \u003cstrong\u003e4\u003c\/strong\u003e reportable segments.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eAdvanced Micro Devices, Inc. - Canvas Business Model: Cost Structure\u003c\/h2\u003e\n\u003cp\u003eAdvanced Micro Devices, Inc. had a cost structure anchored by \u003cstrong\u003e$6.456 billion\u003c\/strong\u003e of research and development in 2024, equal to \u003cstrong\u003e25.0%\u003c\/strong\u003e of \u003cstrong\u003e$25.785 billion\u003c\/strong\u003e of revenue. Outsourced wafer, packaging, and memory costs sit inside cost of revenue rather than in owned-fab depreciation.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eCost structure item\u003c\/td\u003e\n\u003ctd\u003eReal-life number\u003c\/td\u003e\n\u003ctd\u003eCost structure meaning\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e2024 revenue\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e$25.785 billion\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eBase used to absorb fixed engineering and commercial spend\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e2024 research and development\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e$6.456 billion\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eCPU, GPU, and software design cost\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eR\u0026amp;D as a share of revenue\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e25.0%\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eEngineering intensity of the model\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e2024 gross margin\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e49%\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eLeaves \u003cstrong\u003e51%\u003c\/strong\u003e of revenue for cost of revenue and operating expenses\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInstinct MI300X HBM3 content\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e192 GB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eHigh-memory AI accelerator bill of materials\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInstinct MI325X HBM3E content\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e256 GB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eHigher memory content per accelerator\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003e$6.456 billion\u003c\/strong\u003e of R\u0026amp;D is the clearest fixed-cost line. It covers CPU, GPU, adaptive computing, and software development, and it is large enough to explain why AMD needs scale in revenue to keep operating leverage positive.\u003c\/p\u003e\n\n\u003cp\u003eTSMC wafer and advanced packaging charges are direct costs in AMD's model, but AMD does not publish a separate dollar amount for wafer starts, die packaging, or advanced packaging capacity. That means the financial effect shows up inside cost of revenue and helps explain why a \u003cstrong\u003e49%\u003c\/strong\u003e gross margin still leaves a large amount of revenue needed to cover non-manufacturing costs.\u003c\/p\u003e\n\n\u003cp\u003eHBM and DRAM input costs matter most in AI accelerators. MI300X uses \u003cstrong\u003e192 GB\u003c\/strong\u003e of HBM3, and MI325X uses \u003cstrong\u003e256 GB\u003c\/strong\u003e of HBM3E. Higher memory content raises bill-of-materials cost and makes AI accelerators more expensive than client CPUs or lower-memory parts.\u003c\/p\u003e\n\n\u003cp\u003eSales, marketing, and partner support sit in SG\u0026amp;A, which means selling, general, and administrative expenses. AMD does not disclose separate public amounts for channel rebates, distributor incentives, hyperscaler support, or field engineering, so these costs remain embedded in the broader SG\u0026amp;A total.\u003c\/p\u003e\n\n\u003cp\u003eSupply-chain and compliance costs are spread across procurement, logistics, quality, trade, legal, export control, and regulatory work. AMD's reliance on third-party manufacturing and memory suppliers means any constraint in wafer capacity, advanced packaging, or HBM supply affects both cost and delivery timing.\u003c\/p\u003e\u003ch2\u003eAdvanced Micro Devices, Inc. - Canvas Business Model: Revenue Streams\u003c\/h2\u003e\n\u003cp\u003eAdvanced Micro Devices, Inc. reported \u003cstrong\u003e$25.8 billion\u003c\/strong\u003e of revenue in 2024 across \u003cstrong\u003e4\u003c\/strong\u003e operating segments. Data Center was \u003cstrong\u003e$12.6 billion\u003c\/strong\u003e, Client was \u003cstrong\u003e$7.1 billion\u003c\/strong\u003e, Embedded was \u003cstrong\u003e$3.6 billion\u003c\/strong\u003e, and Gaming was \u003cstrong\u003e$2.6 billion\u003c\/strong\u003e.\u003c\/p\u003e\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eRevenue stream\u003c\/td\u003e\n\u003ctd\u003eProducts and chip classes\u003c\/td\u003e\n\u003ctd\u003e2024 revenue\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eData Center CPUs and AI accelerators\u003c\/td\u003e\n\u003ctd\u003eEPYC processors, Instinct accelerators\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e$12.6 billion\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eClient Ryzen processors\u003c\/td\u003e\n\u003ctd\u003eRyzen CPUs, client chipsets\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e$7.1 billion\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGaming Radeon and semi-custom chips\u003c\/td\u003e\n\u003ctd\u003eRadeon GPUs, semi-custom game console chips\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e$2.6 billion\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEmbedded processors and SoCs\u003c\/td\u003e\n\u003ctd\u003eEmbedded CPUs, adaptive SoCs\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e$3.6 billion\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLicensing and strategic deployment-related sales\u003c\/td\u003e\n\u003ctd\u003eNot separately disclosed in the \u003cstrong\u003e4\u003c\/strong\u003e-segment reporting\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e$0\u003c\/strong\u003e separately disclosed\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003cp\u003e\u003cstrong\u003eData Center CPUs and AI accelerators\u003c\/strong\u003e recorded \u003cstrong\u003e$12.6 billion\u003c\/strong\u003e in 2024. That was \u003cstrong\u003e$1.9 billion\u003c\/strong\u003e more than Client plus Embedded combined at \u003cstrong\u003e$10.7 billion\u003c\/strong\u003e, and \u003cstrong\u003e$10.0 billion\u003c\/strong\u003e more than Gaming at \u003cstrong\u003e$2.6 billion\u003c\/strong\u003e.\u003c\/p\u003e\n\u003cul class=\"lst_crct\"\u003e\n\u003cli\u003e\n\u003cstrong\u003e$12.6 billion\u003c\/strong\u003e Data Center revenue\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e$10.7 billion\u003c\/strong\u003e Client plus Embedded combined\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e$10.0 billion\u003c\/strong\u003e Data Center above Gaming\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eClient Ryzen processors\u003c\/strong\u003e generated \u003cstrong\u003e$7.1 billion\u003c\/strong\u003e in 2024. That is \u003cstrong\u003e$5.5 billion\u003c\/strong\u003e below Data Center and \u003cstrong\u003e$4.5 billion\u003c\/strong\u003e above Gaming, with Client remaining above \u003cstrong\u003e$7.0 billion\u003c\/strong\u003e inside the \u003cstrong\u003e$25.8 billion\u003c\/strong\u003e total.\u003c\/p\u003e\n\u003cul class=\"lst_crct\"\u003e\n\u003cli\u003e\n\u003cstrong\u003e$7.1 billion\u003c\/strong\u003e Client revenue\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e$5.5 billion\u003c\/strong\u003e below Data Center\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e$4.5 billion\u003c\/strong\u003e above Gaming\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eGaming Radeon and semi-custom chips\u003c\/strong\u003e contributed \u003cstrong\u003e$2.6 billion\u003c\/strong\u003e in 2024. That was the smallest of the \u003cstrong\u003e4\u003c\/strong\u003e revenue streams, but it still added more than \u003cstrong\u003e$2.0 billion\u003c\/strong\u003e to total revenue.\u003c\/p\u003e\n\u003cul class=\"lst_crct\"\u003e\n\u003cli\u003e\n\u003cstrong\u003e$2.6 billion\u003c\/strong\u003e Gaming revenue\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e4\u003c\/strong\u003e operating segments\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e$2.0 billion\u003c\/strong\u003e plus contribution to total revenue\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eEmbedded processors and SoCs\u003c\/strong\u003e produced \u003cstrong\u003e$3.6 billion\u003c\/strong\u003e in 2024. That was \u003cstrong\u003e$1.0 billion\u003c\/strong\u003e more than Gaming and \u003cstrong\u003e$1.5 billion\u003c\/strong\u003e less than Client.\u003c\/p\u003e\n\u003cul class=\"lst_crct\"\u003e\n\u003cli\u003e\n\u003cstrong\u003e$3.6 billion\u003c\/strong\u003e Embedded revenue\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e$1.0 billion\u003c\/strong\u003e above Gaming\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e$1.5 billion\u003c\/strong\u003e below Client\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eLicensing and strategic deployment-related sales\u003c\/strong\u003e were not disclosed as a separate revenue line in the \u003cstrong\u003e4\u003c\/strong\u003e-segment reporting. The separately disclosed amount is \u003cstrong\u003e$0\u003c\/strong\u003e, while total reported revenue still equals \u003cstrong\u003e$25.8 billion\u003c\/strong\u003e.\u003c\/p\u003e\n\u003cul class=\"lst_crct\"\u003e\n\u003cli\u003e\n\u003cstrong\u003e4\u003c\/strong\u003e disclosed operating segments\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e$0\u003c\/strong\u003e separately disclosed licensing revenue\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e$25.8 billion\u003c\/strong\u003e total reported revenue\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"dcf.fm","offers":[{"title":"Default Title","offer_id":44601583042709,"sku":"amd-business-model-canvas","price":7.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0630\/5189\/0837\/files\/amd-business-model-canvas.png?v=1740142086","url":"https:\/\/dcf-model.com\/fr\/products\/amd-business-model-canvas","provider":"AI-Powered Discounted Cash Flow Model Templates","version":"1.0","type":"link"}