{"product_id":"amd-marketing-mix","title":"Advanced Micro Devices, Inc. (AMD): Marketing Mix Analysis [June-2026 Updated]","description":"\u003cp\u003eYou get a ready-made, research-based analysis of Advanced Micro Devices, Inc. as of late 2025, showing how AI accelerators, EPYC server CPUs, Ryzen AI processors, Radeon GPUs, Radeon GPU? and ROCm 7 are positioned through hyperscaler cloud deals, OEM PC channels, enterprise data-center customers, AMD Developer Cloud access, and Asia-Pacific reach. It also shows how CES launches, Lisa Su keynotes, and announcements with OpenAI, Meta, Microsoft, and Oracle support benchmark-based, performance-per-dollar pricing, tokens-per-dollar messaging, and inference cost optimization, while noting margin pressure from DRAM and HBM costs in gaming and client markets.\u003c\/p\u003e\n\u003cbr\u003e\u003ch2\u003eAdvanced Micro Devices, Inc. - Marketing Mix: Product\u003c\/h2\u003e\n\u003cp\u003eBy late 2025, Advanced Micro Devices, Inc. sells a product mix built around \u003cstrong\u003e5\u003c\/strong\u003e linked families: Instinct AI accelerators, EPYC server CPUs, Ryzen AI client processors, Radeon GPUs and console silicon, and the ROCm \u003cstrong\u003e7\u003c\/strong\u003e software stack. The product offer is strongest where hardware and software are sold together for data centers, AI PCs, and gaming systems.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003cth\u003eProduct family\u003c\/th\u003e\n\u003cth\u003eLate-2025 product role\u003c\/th\u003e\n\u003cth\u003eReal-life product numbers or facts\u003c\/th\u003e\n\u003cth\u003eWhy the product matters\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInstinct MI350 and MI400 AI accelerators\u003c\/td\u003e\n\u003ctd\u003eData-center AI accelerators for training and inference\u003c\/td\u003e\n\u003ctd\u003eMI350 Series; MI400 Series\u003c\/td\u003e\n\u003ctd\u003eAI clusters, enterprise servers, and large-model workloads\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEPYC server CPUs\u003c\/td\u003e\n\u003ctd\u003eServer and data-center CPU line\u003c\/td\u003e\n\u003ctd\u003e5th Gen AMD EPYC; EPYC 9965; \u003cstrong\u003e192\u003c\/strong\u003e cores; \u003cstrong\u003e384\u003c\/strong\u003e threads; \u003cstrong\u003e12\u003c\/strong\u003e DDR5 memory channels; \u003cstrong\u003e128\u003c\/strong\u003e PCIe 5.0 lanes\u003c\/td\u003e\n\u003ctd\u003eCloud, enterprise, and technical computing servers\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRyzen AI client processors\u003c\/td\u003e\n\u003ctd\u003ePC and mobile processors with on-chip AI\u003c\/td\u003e\n\u003ctd\u003eRyzen AI 300 Series; Ryzen AI MAX 300 Series; \u003cstrong\u003e50\u003c\/strong\u003e TOPS NPU; Ryzen AI 9 HX 370 with \u003cstrong\u003e12\u003c\/strong\u003e cores and \u003cstrong\u003e24\u003c\/strong\u003e threads\u003c\/td\u003e\n\u003ctd\u003eLaptops and compact workstations\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRadeon GPUs and console silicon\u003c\/td\u003e\n\u003ctd\u003eConsumer graphics and semi-custom game-console chips\u003c\/td\u003e\n\u003ctd\u003eRadeon RX 9070 XT; Radeon RX 9070; RDNA 4; \u003cstrong\u003e16\u003c\/strong\u003e GB graphics memory on each card\u003c\/td\u003e\n\u003ctd\u003ePC gaming and current-generation consoles\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eROCm 7 software stack\u003c\/td\u003e\n\u003ctd\u003eOpen software stack for AI development\u003c\/td\u003e\n\u003ctd\u003eROCm \u003cstrong\u003e7\u003c\/strong\u003e; Linux-based stack\u003c\/td\u003e\n\u003ctd\u003eDeveloper enablement for Instinct hardware\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003cth\u003eSelected product\u003c\/th\u003e\n\u003cth\u003eReal-life numbers\u003c\/th\u003e\n\u003cth\u003eProduct role\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEPYC 9965\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e192\u003c\/strong\u003e cores, \u003cstrong\u003e384\u003c\/strong\u003e threads\u003c\/td\u003e\n\u003ctd\u003eFlagship server CPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRyzen AI 9 HX 370\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e12\u003c\/strong\u003e cores, \u003cstrong\u003e24\u003c\/strong\u003e threads, \u003cstrong\u003e50\u003c\/strong\u003e TOPS NPU\u003c\/td\u003e\n\u003ctd\u003ePremium AI laptop CPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRadeon RX 9070 XT\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e16\u003c\/strong\u003e GB\u003c\/td\u003e\n\u003ctd\u003eHigh-end gaming GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRadeon RX 9070\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e16\u003c\/strong\u003e GB\u003c\/td\u003e\n\u003ctd\u003eMainstream gaming GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003eInstinct MI350 and MI400 AI accelerators\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThe Instinct line is Advanced Micro Devices, Inc.'s highest-value data-center product family. The \u003cstrong\u003eMI350 Series\u003c\/strong\u003e and the planned \u003cstrong\u003eMI400 Series\u003c\/strong\u003e are built for large-model training and inference, where customers buy many accelerators for one cluster and need the hardware, memory, and software to work together.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eMI350 Series is the current 2025 AI accelerator family.\u003c\/li\u003e\n\u003cli\u003eMI400 Series is the next planned Instinct generation.\u003c\/li\u003e\n\u003cli\u003eThe product value depends on deployment inside multi-GPU data-center systems.\u003c\/li\u003e\n\u003cli\u003eROCm 7 is part of the product offer, not a separate afterthought.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eEPYC server CPUs for data centers\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eEPYC is the server CPU line for cloud, enterprise, and technical computing. The late-2025 flagship platform is the \u003cstrong\u003e5th Gen AMD EPYC\u003c\/strong\u003e line, with the \u003cstrong\u003eEPYC 9965\u003c\/strong\u003e at \u003cstrong\u003e192\u003c\/strong\u003e cores and \u003cstrong\u003e384\u003c\/strong\u003e threads. The platform also supports \u003cstrong\u003e12\u003c\/strong\u003e DDR5 memory channels and \u003cstrong\u003e128\u003c\/strong\u003e PCIe 5.0 lanes, which matters because server buyers pay for more work per socket, more memory bandwidth, and more I\/O in one system.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eCore count is the main product number in EPYC.\u003c\/li\u003e\n\u003cli\u003eMemory channels and PCIe lanes shape server throughput.\u003c\/li\u003e\n\u003cli\u003eThe product is designed for workload consolidation in fewer servers.\u003c\/li\u003e\n\u003cli\u003eThat lowers the number of sockets a customer needs for the same job.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eRyzen AI client processors\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eRyzen AI is the client processor line for laptops, thin workstations, and compact desktops. The late-2025 portfolio centers on the \u003cstrong\u003eRyzen AI 300 Series\u003c\/strong\u003e and \u003cstrong\u003eRyzen AI MAX 300 Series\u003c\/strong\u003e, with NPU performance up to \u003cstrong\u003e50\u003c\/strong\u003e TOPS. In plain English, TOPS means trillions of operations per second, so the number is a proxy for on-device AI speed. The Ryzen AI 9 HX 370 is a real-world example with \u003cstrong\u003e12\u003c\/strong\u003e cores, \u003cstrong\u003e24\u003c\/strong\u003e threads, and a \u003cstrong\u003e50\u003c\/strong\u003e TOPS NPU.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eThe product combines CPU, integrated graphics, and NPU in one chip.\u003c\/li\u003e\n\u003cli\u003eThe NPU supports local AI tasks without sending everything to the cloud.\u003c\/li\u003e\n\u003cli\u003eThat reduces latency and keeps more work on the device.\u003c\/li\u003e\n\u003cli\u003eThe product fits the AI PC category and premium mobile systems.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eRadeon GPUs and console silicon\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eRadeon covers gaming GPUs and semi-custom console silicon. In 2025, the retail GPU line includes the \u003cstrong\u003eRadeon RX 9070 XT\u003c\/strong\u003e and \u003cstrong\u003eRadeon RX 9070\u003c\/strong\u003e, both part of the \u003cstrong\u003eRDNA 4\u003c\/strong\u003e generation and both with \u003cstrong\u003e16\u003c\/strong\u003e GB of graphics memory. The console side is a different product class: Advanced Micro Devices, Inc. designs custom chips for current-generation game consoles, which gives the company long product cycles and large unit shipments tied to console life spans rather than annual PC refreshes.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eRetail GPUs target PC gamers and creator workloads.\u003c\/li\u003e\n\u003cli\u003eSemi-custom console chips target long-life platform contracts.\u003c\/li\u003e\n\u003cli\u003eThe two product types balance PC graphics cycles with console demand.\u003c\/li\u003e\n\u003cli\u003eThe \u003cstrong\u003e16\u003c\/strong\u003e GB memory tier positions the 9070 family for higher-end gaming use.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eROCm 7 software stack\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eROCm 7 is the software layer that turns Instinct hardware into a usable AI platform. It is an open software stack for Linux-based development and deployment, and it matters because enterprise buyers often decide on hardware only after they know their frameworks and models can run on it. In product terms, ROCm 7 reduces switching friction and makes the accelerator and CPU lines more attractive to AI teams that already use open-source tooling.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eROCm 7 sits with the hardware, not above it as a separate service.\u003c\/li\u003e\n\u003cli\u003eThe stack matters for AI development workflows on Linux.\u003c\/li\u003e\n\u003cli\u003eSoftware support is part of the product value.\u003c\/li\u003e\n\u003cli\u003eThe stack supports Advanced Micro Devices, Inc.'s hardware-plus-software product model.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cbr\u003e\u003ch2\u003eAdvanced Micro Devices, Inc. - Marketing Mix: Place\u003c\/h2\u003e\n\u003cp\u003eAMD's place strategy is partner-led and cloud-led, not store-led. Its main access points are \u003cstrong\u003e5\u003c\/strong\u003e hyperscaler clouds, OEM PC channels, enterprise data-center customers, AMD Developer Cloud, and Asia-Pacific cloud ecosystems.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eHyperscaler cloud deployments\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eAMD places EPYC CPUs and Instinct GPUs inside public cloud instance catalogs from AWS, Microsoft Azure, Google Cloud, Oracle Cloud Infrastructure, and Alibaba Cloud. That route matters because one cloud design can place AMD silicon into many data centers at once, which gives AMD broader reach than direct shipment into individual end users.\u003c\/p\u003e\n\u003cp\u003eCloud deployment also shortens the gap between chip launch and actual use. Once a hyperscaler qualifies a platform, the same hardware can appear across compute, memory, database, AI, and training instances in multiple regions.\u003c\/p\u003e\n\n\u003cul class=\"lst_crct\"\u003e\n\u003cli\u003eAWS\u003c\/li\u003e\n\u003cli\u003eMicrosoft Azure\u003c\/li\u003e\n\u003cli\u003eGoogle Cloud\u003c\/li\u003e\n\u003cli\u003eOracle Cloud Infrastructure\u003c\/li\u003e\n\u003cli\u003eAlibaba Cloud\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eOEM PC channels\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eAMD reaches most PC buyers through OEMs and system builders rather than company-owned retail outlets. Finished desktops, notebooks, and workstations from Dell Technologies, HP Inc., Lenovo, Acer, ASUS, and MSI can carry AMD Ryzen and AMD Ryzen PRO processors into consumer and commercial channels.\u003c\/p\u003e\n\u003cp\u003eThis channel matters because most PC customers buy a finished system, not a standalone processor. AMD's place position depends on whether OEMs choose AMD parts in their product lines, regional SKUs, and back-to-school or commercial refresh programs.\u003c\/p\u003e\n\n\u003cul class=\"lst_crct\"\u003e\n\u003cli\u003eDell Technologies\u003c\/li\u003e\n\u003cli\u003eHP Inc.\u003c\/li\u003e\n\u003cli\u003eLenovo\u003c\/li\u003e\n\u003cli\u003eAcer\u003c\/li\u003e\n\u003cli\u003eASUS\u003c\/li\u003e\n\u003cli\u003eMSI\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eEnterprise data-center customers\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eEnterprise data-center sales move through direct account teams, OEM server partners, and cloud providers. AMD EPYC and Instinct products are designed for server racks, AI clusters, and hosted infrastructure, so the place decision is less about retail distribution and more about qualification inside large procurement systems.\u003c\/p\u003e\n\u003cp\u003eThat matters because enterprise buyers often standardize on a small number of server vendors, cloud platforms, and validated software stacks. If AMD is not on those approved lists, the sale usually does not happen.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePlace route\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003ePublic access points\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eReal-life numerical facts\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003ePlace effect\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHyperscaler cloud deployments\u003c\/td\u003e\n\u003ctd\u003eAWS, Microsoft Azure, Google Cloud, Oracle Cloud Infrastructure, Alibaba Cloud\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e5\u003c\/strong\u003e major cloud access points; 4th Gen EPYC; 5th Gen EPYC; Instinct MI300X\u003c\/td\u003e\n\u003ctd\u003ePuts AMD hardware into large-scale cloud catalogs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOEM PC channels\u003c\/td\u003e\n\u003ctd\u003eDell Technologies, HP Inc., Lenovo, Acer, ASUS, MSI\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e6\u003c\/strong\u003e named OEM channels; Ryzen; Ryzen PRO\u003c\/td\u003e\n\u003ctd\u003eReaches end users through finished PCs and workstations\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEnterprise data-center customers\u003c\/td\u003e\n\u003ctd\u003eDirect sales teams, OEM server partners, cloud providers\u003c\/td\u003e\n\u003ctd\u003eEPYC; Instinct; server and AI cluster deployments\u003c\/td\u003e\n\u003ctd\u003eSupports large-volume, high-value enterprise purchases\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAMD Developer Cloud\u003c\/td\u003e\n\u003ctd\u003eCloud access for software developers\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e1\u003c\/strong\u003e node; \u003cstrong\u003e8\u003c\/strong\u003e AMD Instinct MI300X GPUs; \u003cstrong\u003e192GB\u003c\/strong\u003e HBM3 per GPU; \u003cstrong\u003e1,536GB\u003c\/strong\u003e total GPU memory\u003c\/td\u003e\n\u003ctd\u003eLets developers test software on AMD hardware before large-scale deployment\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAsia-Pacific cloud presence\u003c\/td\u003e\n\u003ctd\u003eJapan, China, Taiwan, Singapore, South Korea, India, Australia\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e7\u003c\/strong\u003e named APAC markets\u003c\/td\u003e\n\u003ctd\u003eLinks cloud access, OEM supply, and regional deployment\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003eAMD Developer Cloud\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eAMD Developer Cloud gives software teams direct access to AMD hardware before they commit to production deployment. The public configuration includes \u003cstrong\u003e1\u003c\/strong\u003e node with \u003cstrong\u003e8\u003c\/strong\u003e AMD Instinct MI300X GPUs, each with \u003cstrong\u003e192GB\u003c\/strong\u003e of HBM3 memory, for a total of \u003cstrong\u003e1,536GB\u003c\/strong\u003e of GPU memory on the node. That is important for AI model testing, software porting, and performance tuning.\u003c\/p\u003e\n\u003cp\u003eThis channel matters because developers can validate code on the same class of hardware that hyperscalers and enterprise customers later use. It reduces the risk that software is written for a platform AMD cannot easily reach in the market.\u003c\/p\u003e\n\n\u003cul class=\"lst_crct\"\u003e\n\u003cli\u003e\n\u003cstrong\u003e1\u003c\/strong\u003e node\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e8\u003c\/strong\u003e GPUs\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e192GB\u003c\/strong\u003e per GPU\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e1,536GB\u003c\/strong\u003e total GPU memory\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eAsia-Pacific cloud presence\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eAsia-Pacific is a core place channel because cloud operators, OEMs, and semiconductor logistics are concentrated across Japan, China, Taiwan, Singapore, South Korea, India, and Australia. AMD's access in this region comes through cloud region availability, server qualification, and PC supply chains rather than company-owned local retail.\u003c\/p\u003e\n\u003cp\u003eAMD is fabless, so it depends on outside foundries, assembly, and test partners. That makes Asia-Pacific logistics part of place strategy because chip availability depends on wafer starts, packaging slots, and shipment timing, not on AMD-owned factories.\u003c\/p\u003e\n\n\u003cul class=\"lst_crct\"\u003e\n\u003cli\u003eJapan\u003c\/li\u003e\n\u003cli\u003eChina\u003c\/li\u003e\n\u003cli\u003eTaiwan\u003c\/li\u003e\n\u003cli\u003eSingapore\u003c\/li\u003e\n\u003cli\u003eSouth Korea\u003c\/li\u003e\n\u003cli\u003eIndia\u003c\/li\u003e\n\u003cli\u003eAustralia\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cbr\u003e\u003ch2\u003eAdvanced Micro Devices, Inc. - Marketing Mix: Promotion\u003c\/h2\u003e\n\u003cp\u003eAdvanced Micro Devices, Inc. uses \u003cstrong\u003eCES 2025\u003c\/strong\u003e, \u003cstrong\u003eLisa Su\u003c\/strong\u003e's keynote, named enterprise customers, numeric performance claims, and developer ecosystem outreach as its main promotion tools in late 2025. The company’s message is built around \u003cstrong\u003e16\u003c\/strong\u003e CPU cores, \u003cstrong\u003e40\u003c\/strong\u003e GPU compute units, \u003cstrong\u003e126 AI TOPS\u003c\/strong\u003e, and \u003cstrong\u003e192 GB\u003c\/strong\u003e memory-class proof points that buyers can compare directly.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eCES product launches\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eAt \u003cstrong\u003eCES 2025\u003c\/strong\u003e on \u003cstrong\u003eJanuary 6, 2025\u003c\/strong\u003e, Advanced Micro Devices, Inc. used the global press stage to push consumer and gaming hardware at the same time. The most visible launch was the \u003cstrong\u003eRyzen AI Max+ 395\u003c\/strong\u003e, positioned with \u003cstrong\u003e16\u003c\/strong\u003e Zen 5 CPU cores, \u003cstrong\u003e40\u003c\/strong\u003e RDNA 3.5 compute units, and up to \u003cstrong\u003e126 AI TOPS\u003c\/strong\u003e. The company also introduced the \u003cstrong\u003eRadeon RX 9070 XT\u003c\/strong\u003e and \u003cstrong\u003eRadeon RX 9070\u003c\/strong\u003e. This kind of launch timing matters because CES creates a single news cycle for PC makers, retailers, analysts, and reviewers, which lets one event support several product lines at once.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003cth\u003ePromotion channel\u003c\/th\u003e\n\u003cth\u003eReal-life data\u003c\/th\u003e\n\u003cth\u003eWhy it matters\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCES 2025 keynote\u003c\/td\u003e\n\u003ctd\u003eJanuary 6, 2025; Ryzen AI Max+ 395; 16 Zen 5 cores; 40 RDNA 3.5 compute units; up to 126 AI TOPS\u003c\/td\u003e\n\u003ctd\u003eHigh-visibility launch platform for consumer and gaming products\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGaming graphics launch\u003c\/td\u003e\n\u003ctd\u003eRadeon RX 9070 XT; Radeon RX 9070\u003c\/td\u003e\n\u003ctd\u003eKeeps Advanced Micro Devices, Inc. visible in enthusiast graphics discussions\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEnterprise customer messaging\u003c\/td\u003e\n\u003ctd\u003eOpenAI; Meta; Microsoft; Oracle; Instinct MI300X; 192 GB HBM3\u003c\/td\u003e\n\u003ctd\u003eBuilds credibility for AI infrastructure and cloud adoption\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDeveloper outreach\u003c\/td\u003e\n\u003ctd\u003eROCm; AMD Developer Cloud\u003c\/td\u003e\n\u003ctd\u003eReduces software adoption friction for AI builders\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003eCEO Lisa Su keynote messaging\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eLisa Su's keynote role is promotion through executive credibility. Her messaging in 2025 ties together \u003cstrong\u003eRyzen\u003c\/strong\u003e, \u003cstrong\u003eRadeon\u003c\/strong\u003e, \u003cstrong\u003eEPYC\u003c\/strong\u003e, and \u003cstrong\u003eInstinct\u003c\/strong\u003e so the company looks like one compute story rather than four separate businesses. That matters because consumer buyers care about laptop and gaming performance, while cloud buyers care about data center scale. One executive voice across both markets helps Advanced Micro Devices, Inc. keep its message consistent across hardware launch events, analyst briefings, and customer meetings.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eOpenAI, Meta, Microsoft, Oracle announcements\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eAdvanced Micro Devices, Inc. uses named customer announcements as promotion because large companies act as proof points. When \u003cstrong\u003eOpenAI\u003c\/strong\u003e, \u003cstrong\u003eMeta\u003c\/strong\u003e, \u003cstrong\u003eMicrosoft\u003c\/strong\u003e, and \u003cstrong\u003eOracle\u003c\/strong\u003e appear in public messaging, the company is showing that its accelerators and CPUs are not only test devices but also part of real infrastructure planning. The most useful numeric anchor in this part of the story is \u003cstrong\u003e192 GB\u003c\/strong\u003e of HBM3 memory on \u003cstrong\u003eInstinct MI300X\u003c\/strong\u003e, which explains why the product is marketed for large-model inference and cloud-scale workloads.\u003c\/p\u003e\n\n\u003cul class=\"lst_crct\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eOpenAI\u003c\/strong\u003e: customer validation for AI compute demand\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMeta\u003c\/strong\u003e: validation for large-scale model inference and training infrastructure\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMicrosoft\u003c\/strong\u003e: validation for cloud AI and enterprise deployment\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOracle\u003c\/strong\u003e: validation for cloud infrastructure adoption\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eBenchmark-based performance claims\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eAdvanced Micro Devices, Inc. promotes products with numbers that work like benchmark shorthand. The company uses \u003cstrong\u003e16\u003c\/strong\u003e cores, \u003cstrong\u003e40\u003c\/strong\u003e compute units, \u003cstrong\u003e126 AI TOPS\u003c\/strong\u003e, and \u003cstrong\u003e192 GB\u003c\/strong\u003e memory because these figures are easy to compare against competing parts before independent reviews appear. This is a practical promotional tactic in CPU, GPU, and AI accelerator markets, where buyers often compare platform specs before they compare brand names. The company’s numeric claims matter because they frame performance in workload terms, not just in product names.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eROCm and Developer Cloud ecosystem outreach\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eROCm and Developer Cloud promotion is aimed at developers, not just buyers. Advanced Micro Devices, Inc. uses them to show that its hardware is supported by software, cloud access, and a path from testing to deployment. That matters in AI because software switching cost is real: if a developer can work on AMD software first, the hardware sale is easier later. In late 2025, this outreach supports the company’s broader promotion strategy by linking hardware launches to usable tools for coding, tuning, and deployment.\u003c\/p\u003e\n\n\u003cul class=\"lst_crct\"\u003e\n\u003cli\u003e\n\u003cstrong\u003e1\u003c\/strong\u003e company narrative across consumer, gaming, and data center markets\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e1\u003c\/strong\u003e major stage event at CES 2025 on \u003cstrong\u003eJanuary 6, 2025\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e16\u003c\/strong\u003e Zen 5 CPU cores in Ryzen AI Max+ 395\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e40\u003c\/strong\u003e RDNA 3.5 compute units in Ryzen AI Max+ 395\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e126 AI TOPS\u003c\/strong\u003e for Ryzen AI Max+ 395\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e192 GB\u003c\/strong\u003e HBM3 on Instinct MI300X\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cbr\u003e\u003ch2\u003eAdvanced Micro Devices, Inc. - Marketing Mix: Price\u003c\/h2\u003e\n\n\u003cp\u003e\u003cstrong\u003ePerformance-per-dollar positioning\u003c\/strong\u003e: Ryzen 9 9950X \u003cstrong\u003e$649\u003c\/strong\u003e, \u003cstrong\u003e16\u003c\/strong\u003e cores, \u003cstrong\u003e$40.56\u003c\/strong\u003e per core; Ryzen 9 9900X \u003cstrong\u003e$499\u003c\/strong\u003e, \u003cstrong\u003e12\u003c\/strong\u003e cores, \u003cstrong\u003e$41.58\u003c\/strong\u003e per core; Ryzen 7 9700X \u003cstrong\u003e$359\u003c\/strong\u003e, \u003cstrong\u003e8\u003c\/strong\u003e cores, \u003cstrong\u003e$44.88\u003c\/strong\u003e per core; Ryzen 5 9600X \u003cstrong\u003e$279\u003c\/strong\u003e, \u003cstrong\u003e6\u003c\/strong\u003e cores, \u003cstrong\u003e$46.50\u003c\/strong\u003e per core.\u003c\/p\u003e\n\n\u003cul class=\"lst_crct\"\u003e\n\u003cli\u003eCore i9-14900K \u003cstrong\u003e$589\u003c\/strong\u003e vs Ryzen 9 9950X \u003cstrong\u003e$649\u003c\/strong\u003e: \u003cstrong\u003e$60\u003c\/strong\u003e, \u003cstrong\u003e10.2%\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003eCore i7-14700K \u003cstrong\u003e$409\u003c\/strong\u003e vs Ryzen 9 9900X \u003cstrong\u003e$499\u003c\/strong\u003e: \u003cstrong\u003e$90\u003c\/strong\u003e, \u003cstrong\u003e22.0%\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003eCore i5-14600K \u003cstrong\u003e$319\u003c\/strong\u003e vs Ryzen 7 9700X \u003cstrong\u003e$359\u003c\/strong\u003e: \u003cstrong\u003e$40\u003c\/strong\u003e, \u003cstrong\u003e12.5%\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003cth\u003eProduct\u003c\/th\u003e\n\u003cth\u003ePrice\u003c\/th\u003e\n\u003cth\u003eCores\u003c\/th\u003e\n\u003cth\u003ePrice per core\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRyzen 9 9950X\u003c\/td\u003e\n\u003ctd\u003e$649\u003c\/td\u003e\n\u003ctd\u003e16\u003c\/td\u003e\n\u003ctd\u003e$40.56\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRyzen 9 9900X\u003c\/td\u003e\n\u003ctd\u003e$499\u003c\/td\u003e\n\u003ctd\u003e12\u003c\/td\u003e\n\u003ctd\u003e$41.58\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRyzen 7 9700X\u003c\/td\u003e\n\u003ctd\u003e$359\u003c\/td\u003e\n\u003ctd\u003e8\u003c\/td\u003e\n\u003ctd\u003e$44.88\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRyzen 5 9600X\u003c\/td\u003e\n\u003ctd\u003e$279\u003c\/td\u003e\n\u003ctd\u003e6\u003c\/td\u003e\n\u003ctd\u003e$46.50\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCore i9-14900K\u003c\/td\u003e\n\u003ctd\u003e$589\u003c\/td\u003e\n\u003ctd\u003e24\u003c\/td\u003e\n\u003ctd\u003e$24.54\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCore i7-14700K\u003c\/td\u003e\n\u003ctd\u003e$409\u003c\/td\u003e\n\u003ctd\u003e20\u003c\/td\u003e\n\u003ctd\u003e$20.45\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCore i5-14600K\u003c\/td\u003e\n\u003ctd\u003e$319\u003c\/td\u003e\n\u003ctd\u003e14\u003c\/td\u003e\n\u003ctd\u003e$22.79\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003eCompetitive tokens-per-dollar messaging\u003c\/strong\u003e: Radeon RX 7900 XTX \u003cstrong\u003e$999\u003c\/strong\u003e, \u003cstrong\u003e24 GB\u003c\/strong\u003e, \u003cstrong\u003e$41.63\u003c\/strong\u003e per GB; Radeon RX 7800 XT \u003cstrong\u003e$499\u003c\/strong\u003e, \u003cstrong\u003e16 GB\u003c\/strong\u003e, \u003cstrong\u003e$31.19\u003c\/strong\u003e per GB; Radeon RX 7700 XT \u003cstrong\u003e$449\u003c\/strong\u003e, \u003cstrong\u003e12 GB\u003c\/strong\u003e, \u003cstrong\u003e$37.42\u003c\/strong\u003e per GB; Radeon RX 7600 \u003cstrong\u003e$269\u003c\/strong\u003e, \u003cstrong\u003e8 GB\u003c\/strong\u003e, \u003cstrong\u003e$33.63\u003c\/strong\u003e per GB.\u003c\/p\u003e\n\n\u003cul class=\"lst_crct\"\u003e\n\u003cli\u003eGeForce RTX 4090 \u003cstrong\u003e$1599\u003c\/strong\u003e vs Radeon RX 7900 XTX \u003cstrong\u003e$999\u003c\/strong\u003e: \u003cstrong\u003e$600\u003c\/strong\u003e, \u003cstrong\u003e37.5%\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003eGeForce RTX 4070 Super \u003cstrong\u003e$599\u003c\/strong\u003e vs Radeon RX 7800 XT \u003cstrong\u003e$499\u003c\/strong\u003e: \u003cstrong\u003e$100\u003c\/strong\u003e, \u003cstrong\u003e16.7%\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003eGeForce RTX 4060 Ti 16 GB \u003cstrong\u003e$499\u003c\/strong\u003e vs Radeon RX 7700 XT \u003cstrong\u003e$449\u003c\/strong\u003e: \u003cstrong\u003e$50\u003c\/strong\u003e, \u003cstrong\u003e10.0%\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003eGeForce RTX 4060 \u003cstrong\u003e$299\u003c\/strong\u003e vs Radeon RX 7600 \u003cstrong\u003e$269\u003c\/strong\u003e: \u003cstrong\u003e$30\u003c\/strong\u003e, \u003cstrong\u003e10.0%\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003cth\u003eProduct\u003c\/th\u003e\n\u003cth\u003ePrice\u003c\/th\u003e\n\u003cth\u003eMemory\u003c\/th\u003e\n\u003cth\u003ePrice per GB\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRadeon RX 7900 XTX\u003c\/td\u003e\n\u003ctd\u003e$999\u003c\/td\u003e\n\u003ctd\u003e24 GB\u003c\/td\u003e\n\u003ctd\u003e$41.63\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRadeon RX 7800 XT\u003c\/td\u003e\n\u003ctd\u003e$499\u003c\/td\u003e\n\u003ctd\u003e16 GB\u003c\/td\u003e\n\u003ctd\u003e$31.19\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRadeon RX 7700 XT\u003c\/td\u003e\n\u003ctd\u003e$449\u003c\/td\u003e\n\u003ctd\u003e12 GB\u003c\/td\u003e\n\u003ctd\u003e$37.42\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRadeon RX 7600\u003c\/td\u003e\n\u003ctd\u003e$269\u003c\/td\u003e\n\u003ctd\u003e8 GB\u003c\/td\u003e\n\u003ctd\u003e$33.63\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGeForce RTX 4090\u003c\/td\u003e\n\u003ctd\u003e$1599\u003c\/td\u003e\n\u003ctd\u003e24 GB\u003c\/td\u003e\n\u003ctd\u003e$66.63\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGeForce RTX 4070 Super\u003c\/td\u003e\n\u003ctd\u003e$599\u003c\/td\u003e\n\u003ctd\u003e12 GB\u003c\/td\u003e\n\u003ctd\u003e$49.92\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGeForce RTX 4060 Ti 16 GB\u003c\/td\u003e\n\u003ctd\u003e$499\u003c\/td\u003e\n\u003ctd\u003e16 GB\u003c\/td\u003e\n\u003ctd\u003e$31.19\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGeForce RTX 4060\u003c\/td\u003e\n\u003ctd\u003e$299\u003c\/td\u003e\n\u003ctd\u003e8 GB\u003c\/td\u003e\n\u003ctd\u003e$37.38\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003eEnterprise inference cost optimization\u003c\/strong\u003e: Instinct MI300X \u003cstrong\u003e192 GB\u003c\/strong\u003e HBM3 and \u003cstrong\u003e5.3 TB\/s\u003c\/strong\u003e bandwidth; H100 SXM \u003cstrong\u003e80 GB\u003c\/strong\u003e HBM3 and \u003cstrong\u003e3.35 TB\/s\u003c\/strong\u003e bandwidth; \u003cstrong\u003e192\/80 = 2.4\u003c\/strong\u003e; \u003cstrong\u003e5.3\/3.35 = 1.58\u003c\/strong\u003e; \u003cstrong\u003e8 x 192 GB = 1,536 GB\u003c\/strong\u003e; \u003cstrong\u003e8 x 80 GB = 640 GB\u003c\/strong\u003e.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003cth\u003eAccelerator\u003c\/th\u003e\n\u003cth\u003eMemory\u003c\/th\u003e\n\u003cth\u003eBandwidth\u003c\/th\u003e\n\u003cth\u003eMemory ratio vs H100 SXM\u003c\/th\u003e\n\u003cth\u003eBandwidth ratio vs H100 SXM\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInstinct MI300X\u003c\/td\u003e\n\u003ctd\u003e192 GB\u003c\/td\u003e\n\u003ctd\u003e5.3 TB\/s\u003c\/td\u003e\n\u003ctd\u003e2.4\u003c\/td\u003e\n\u003ctd\u003e1.58\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eH100 SXM\u003c\/td\u003e\n\u003ctd\u003e80 GB\u003c\/td\u003e\n\u003ctd\u003e3.35 TB\/s\u003c\/td\u003e\n\u003ctd\u003e1.0\u003c\/td\u003e\n\u003ctd\u003e1.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003eGaming and Client margin pressure from DRAM and HBM costs\u003c\/strong\u003e: Q1 2024 revenue \u003cstrong\u003e$5.47B\u003c\/strong\u003e, gross margin \u003cstrong\u003e47%\u003c\/strong\u003e, Client \u003cstrong\u003e$1.4B\u003c\/strong\u003e, Gaming \u003cstrong\u003e$922M\u003c\/strong\u003e; Q2 2024 revenue \u003cstrong\u003e$5.84B\u003c\/strong\u003e, gross margin \u003cstrong\u003e49%\u003c\/strong\u003e, Client \u003cstrong\u003e$1.5B\u003c\/strong\u003e, Gaming \u003cstrong\u003e$648M\u003c\/strong\u003e; Gaming change \u003cstrong\u003e-$274M\u003c\/strong\u003e, \u003cstrong\u003e-29.7%\u003c\/strong\u003e; Client change \u003cstrong\u003e+$100M\u003c\/strong\u003e, \u003cstrong\u003e7.1%\u003c\/strong\u003e.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003cth\u003eQuarter\u003c\/th\u003e\n\u003cth\u003eRevenue\u003c\/th\u003e\n\u003cth\u003eGross margin\u003c\/th\u003e\n\u003cth\u003eClient revenue\u003c\/th\u003e\n\u003cth\u003eGaming revenue\u003c\/th\u003e\n\u003cth\u003eClient change\u003c\/th\u003e\n\u003cth\u003eGaming change\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eQ1 2024\u003c\/td\u003e\n\u003ctd\u003e$5.47B\u003c\/td\u003e\n\u003ctd\u003e47%\u003c\/td\u003e\n\u003ctd\u003e$1.4B\u003c\/td\u003e\n\u003ctd\u003e$922M\u003c\/td\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eQ2 2024\u003c\/td\u003e\n\u003ctd\u003e$5.84B\u003c\/td\u003e\n\u003ctd\u003e49%\u003c\/td\u003e\n\u003ctd\u003e$1.5B\u003c\/td\u003e\n\u003ctd\u003e$648M\u003c\/td\u003e\n\u003ctd\u003e+$100M, 7.1%\u003c\/td\u003e\n\u003ctd\u003e-$274M, -29.7%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cul class=\"lst_crct\"\u003e\n\u003cli\u003eData Center revenue \u003cstrong\u003e$2.3B\u003c\/strong\u003e in Q1 2024 and \u003cstrong\u003e$2.8B\u003c\/strong\u003e in Q2 2024\u003c\/li\u003e\n\u003cli\u003eData Center share of revenue \u003cstrong\u003e42.0%\u003c\/strong\u003e in Q1 2024 and \u003cstrong\u003e47.9%\u003c\/strong\u003e in Q2 2024\u003c\/li\u003e\n\u003cli\u003eGaming share of revenue \u003cstrong\u003e16.9%\u003c\/strong\u003e in Q1 2024 and \u003cstrong\u003e11.1%\u003c\/strong\u003e in Q2 2024\u003c\/li\u003e\n\u003cli\u003eEmbedded revenue \u003cstrong\u003e$846M\u003c\/strong\u003e in Q1 2024 and \u003cstrong\u003e$861M\u003c\/strong\u003e in Q2 2024\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"dcf.fm","offers":[{"title":"Default Title","offer_id":44602198524053,"sku":"amd-marketing-mix","price":7.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0630\/5189\/0837\/files\/amd-marketing-mix.png?v=1740142088","url":"https:\/\/dcf-model.com\/pt\/products\/amd-marketing-mix","provider":"AI-Powered Discounted Cash Flow Model Templates","version":"1.0","type":"link"}