--- title: "$120 Billion → $220 Billion! AMD Revalues CPUs in the AI Era" type: "News" locale: "en" url: "https://longbridge.com/en/news/293726438.md" description: "AMD has significantly raised its market expectations for server CPUs in the AI era, projecting the market size to jump from the previously forecast $120 billion to $220 billion by 2030. Barclays believes this reflects how Agentic AI is shifting CPUs from a supporting role in AI servers to core computing resources, indicating that competition in AI infrastructure is escalating from a singular focus on GPUs to a full-stack contest encompassing CPUs, GPUs, networking, software, and system architecture" datetime: "2026-07-24T08:50:38.000Z" locales: - [zh-CN](https://longbridge.com/zh-CN/news/293726438.md) - [en](https://longbridge.com/en/news/293726438.md) - [zh-HK](https://longbridge.com/zh-HK/news/293726438.md) --- # $120 Billion → $220 Billion! AMD Revalues CPUs in the AI Era The race for AI infrastructure continues to intensify, but market attention has shifted beyond mere GPU performance to a broader revaluation of the entire computing ecosystem. In a research report released on July 23, Barclays argued that the most significant signal from AMD’s Advancing AI conference was not the launch of new GPUs or AI servers, but rather a substantial upward revision of its long-term outlook for the server CPU market. The company projects that **by 2030, the global server CPU market will reach $220 billion, nearly doubling the previous forecast of $120 billion**. This adjustment reflects the shift of CPUs from auxiliary components to core computing resources in AI servers, driven by the rise of Agentic AI. Building on this, AMD further raised its expectations for the overall computing market. The company anticipates that the data center AI accelerator market will reach $1.4 trillion by 2030, while the **total addressable market for compute (Compute TAM), covering server CPUs, AI accelerators, and other businesses, will expand from $365 billion in 2025 to approximately $2 trillion.** Barclays believes this signifies that competition in AI infrastructure is evolving from a focus solely on GPU performance to a full-stack rivalry involving CPUs, GPUs, networking, software, and system architecture. ## Significant Upward Revision of Server CPU Market Size The most noteworthy aspect of the event for the market was not the Helios rack or the new generation of GPUs, but AMD’s redefinition of the future scale of the server CPU market. The company expects the server CPU market to reach $220 billion by 2030, **with the corresponding compound annual growth rate (CAGR) sharply increasing from over 35% to more than 50%.** Barclays views this aggressive upward revision as evidence of a significant change in AMD’s assessment of future AI server architectures. The core logic supporting this forecast is the rapid development of Agentic AI. AMD predicts that **“Agentic CPUs,” designed for agent-based workloads, will account for more than half of the entire server CPU market in the future.** As more AI applications transition from training to actual deployment, **CPUs will take on more tasks such as model scheduling, agent execution, task coordination, and data management. They will no longer serve merely as auxiliary components in GPU servers but will become a significant independent growth market.** ## Inference Becomes the New Focus of AI Infrastructure Competition Beyond the revaluation of market size, AMD’s assessment of AI workload structures has also become a key focus for Barclays. The company expects inference to become the largest AI computing scenario for the first time in 2026, accounting for approximately 60% of total AI workloads, up from 50% in 2025 and 40% in 2024. This implies that **industry competition is gradually shifting from “who can train the largest models” to “who can run models at lower costs and higher efficiency.”** Barclays believes this is a major reason why AMD simultaneously launched the Helios full-system platform, the MI455X GPU, Ethernet interconnects, and the ROCm.AI software platform. **Future competition in AI infrastructure will no longer be limited to GPU computing power but will revolve around overall system cost, memory capacity, bandwidth, network interconnects, and the software ecosystem.** The report points out that the industry remains in a state of tight computing supply. As large cloud providers continue to expand their deployment scales and existing customers enter the volume ramp-up phase, AMD’s data center business is expected to grow faster than the overall market. However, no new major customers were announced at this conference, as the partnership with Anthropic had been previously disclosed. ## From Chips to Platforms: AMD Refines Its Product Roadmap Through 2030 In line with these assessments, AMD has further refined its product plans for the coming years. **On the hardware front, the company officially launched the Helios AI rack**, integrating the MI455X GPU, Venice CPU, Salina DPU, and Vulcano AI NIC into a complete system solution. The MI455X features 432GB of HBM4, 23.3TB/s memory bandwidth, and supports up to 40 PFLOPS of FP4 computing power. **AMD expects that, compared to the previous generation, token throughput could increase by up to 34 times, while token costs could decrease by up to 18 times.** AMD is also placing competitive emphasis on system efficiency. The company expects that, compared to NVIDIA’s Vera Rubin platform, Helios will not only offer larger HBM capacity and higher lateral interconnect bandwidth but also achieve higher token output per dollar. This indicates that the dimension of competition is shifting from single-GPU performance to the total cost of ownership (TCO) of the entire system. Meanwhile, the company has extended its CPU and GPU roadmaps to 2030. The Venice processor has entered production and is expected to begin deployment in cloud platforms and OEM servers in the fourth quarter. The Florence and Ravenna CPU generations are scheduled for release in 2028 and 2030, respectively. On the GPU side, the MI500 is expected to launch in 2027, followed by the MI600 in 2028. The MI500 will be the first to adopt both copper and optical interconnect technologies. In addition to hardware, AMD launched the AI development platform ROCm.AI and **continued to expand its product portfolio around inference, networking, and robotics ecosystems**. This includes collaborating with Cerebras to launch decoupled inference solutions, as well as releasing the professional inference card MI350P and the KRIA AI System-on-Module for robotics, aiming to further strengthen its full-stack capabilities in AI infrastructure. Barclays believes that, compared to specific product performance, what truly changed market expectations at this Advancing AI conference was AMD’s redefinition of the scale of future computing demand and its latest judgment on the direction of AI infrastructure evolution. **If inference demand continues to accelerate as the company expects, the importance of server CPUs and system-level solutions is likely to exceed previous market expectations.** ### Related Stocks - [AMD.US](https://longbridge.com/en/quote/AMD.US.md) - [AMDG.US](https://longbridge.com/en/quote/AMDG.US.md) - [AMDW.US](https://longbridge.com/en/quote/AMDW.US.md) - [AMUU.US](https://longbridge.com/en/quote/AMUU.US.md) - [AMDL.US](https://longbridge.com/en/quote/AMDL.US.md) - [AMDD.US](https://longbridge.com/en/quote/AMDD.US.md) - [DAMD.US](https://longbridge.com/en/quote/DAMD.US.md) - [AMDY.US](https://longbridge.com/en/quote/AMDY.US.md) - [SMH.US](https://longbridge.com/en/quote/SMH.US.md) - [SOXX.US](https://longbridge.com/en/quote/SOXX.US.md) - [SOXL.US](https://longbridge.com/en/quote/SOXL.US.md) - [SOXQ.US](https://longbridge.com/en/quote/SOXQ.US.md) - [XSD.US](https://longbridge.com/en/quote/XSD.US.md) - [PSI.US](https://longbridge.com/en/quote/PSI.US.md) - [FTXL.US](https://longbridge.com/en/quote/FTXL.US.md) - [BCS.US](https://longbridge.com/en/quote/BCS.US.md) - [NVDA.US](https://longbridge.com/en/quote/NVDA.US.md) - [CBRS.US](https://longbridge.com/en/quote/CBRS.US.md) - [BARC.UK](https://longbridge.com/en/quote/BARC.UK.md) - [NVD.DE](https://longbridge.com/en/quote/NVD.DE.md) ## Related News & Research - [EXCLUSIVE-Intel, AMD sign long-term server CPU deals with Chinese clients as prices surge, sources say](https://longbridge.com/en/news/293552691.md) - [CBRS Stock Alert: What to Know as Cerebras Teams Up With AMD](https://longbridge.com/en/news/293768646.md) - [Corsair collaborates with AMD to showcase AI compute at Advancing AI 2026](https://longbridge.com/en/news/293622257.md) - [Intel and AMD sign longer-term server CPU deals with Chinese customers as prices rise](https://longbridge.com/en/news/293708005.md) - [AMD Stock Forecast: Why This Five-Star Analyst Raised the Chipmaker's Price Target by 41%](https://longbridge.com/en/news/293762297.md)