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Today's Observation
From July 22 to 23 Pacific Time, AMD unveiled its next-generation Instinct MI400 series accelerators, EPYC "Venice" server CPUs, and the Helios rack-scale AI platform at the Advancing AI 2026 conference in San Francisco, signaling a strategic shift from "catching up to NVIDIA with individual GPUs" to "building end-to-end AI infrastructure from chips to complete systems." CEO Lisa Su redefined the market landscape, projecting the total computing market to reach $2 trillion by 2030, and issued more aggressive competitive signals: claiming that the Helios platform based on MI455X outperforms NVIDIA’s next-generation Vera Rubin platform in key metrics, and that Venice delivers significantly superior performance compared to Intel Xeon and NVIDIA Vera CPUs. On the customer front, top AI companies Meta, OpenAI, and Anthropic have all secured gigawatt-scale orders.
Data per minute
- Triple launch: Instinct MI400 series (Helios supports up to 72 MI455X accelerators), EPYC "Venice" (Zen6 architecture, up to 256 cores), and the Helios rack-scale platform
- Performance claims: Helios outperforms Vera Rubin in certain metrics; Venice reaches up to 3.4 times the performance of Intel Xeon and approximately 20% higher than NVIDIA Vera CPU.
- Customer orders: Meta 6 GW, OpenAI 6 GW (both received AMD-issued warrants for up to 160 million shares, each equivalent to approximately 10% of AMD’s equity), Anthropic 2 GW (AMD has a reverse equity stake in Anthropic of up to $5 billion)
- Delivery timeline: Helios is now live, with large-scale deployment beginning this year; Venice is fully in mass production, with servers expected to appear in Q4; OpenAI’s first 1 GW is scheduled for the second half of 2026, and Anthropic’s first 1 GW for the first half of 2027.
- 2030 Market Outlook: Total market of $2 trillion, with $1.4 trillion in AI accelerators and $200 billion in data center CPUs.
MSX View
The main focus of this launch is AMD’s strategic shift—from being positioned as an “alternative supplier to NVIDIA GPUs” to becoming a “full-stack platform provider” offering CPUs, GPUs, networking, software, and complete systems, often referred to as the “third path.” The collective commitment of three leading AI companies to gigawatt-scale orders serves as the strongest evidence for this narrative, with Meta, OpenAI, and Anthropic not only acting as buyers but also engaging in deeper ties such as warrants and equity investments. However, two points warrant caution: First, performance claims such as “beating Vera Rubin by 20%” come solely from AMD’s own statements; NVIDIA’s next-generation platform has not yet been compared on the same stage, and the real performance gap can only be validated through actual deployment and third-party testing. Second, despite the positive news, AMD’s stock price fell by nearly 5% during trading on the day of the announcement, reflecting that expectations had already been pushed to elevated levels after a year-to-date gain of approximately 160%; “meeting expectations” is no longer sufficient to drive further price increases. In other words, the market’s focus is not on AMD’s performance claims at the launch, but on whether AMD can successfully convert the MI400 series, Venice, and Helios into sustained actual revenue—and close the gap with NVIDIA’s entrenched CUDA software ecosystem.
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Risk disclaimer: Macroeconomic conditions and U.S. stock market volatility are significant; the content of this article is for academic and research observation purposes only by MaiTong Research Institute and does not constitute any investment advice.