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Oct. 11, 2025, 2:13 p.m.
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AMD and OpenAI Forge Landmark AI Partnership Delivering Up to 6GW GPU Compute

AMD and OpenAI have unveiled a landmark partnership set to reshape AI infrastructure profoundly. Valued at tens of billions of dollars, this collaboration positions AMD as a key force powering future AI technologies. AMD will provide up to 6 gigawatts of AI GPU compute power through multiple generations of its Instinct GPUs, starting in late 2026 with an initial deployment of one gigawatt using AMD’s MI450 chips. This massive supply of compute underlines AMD’s dedication to addressing the surging demand for high-performance AI GPU solutions. As part of the deal, AMD has issued 160 million warrants to OpenAI, vesting upon reaching specific technical and commercial milestones. This aligns both companies' interests and solidifies AMD’s role as a “core strategic compute partner, ” directly challenging NVIDIA’s longstanding dominance in AI GPUs. This announcement follows closely on the heels of an agreement between OpenAI and NVIDIA, under which NVIDIA commits at least 10 gigawatts of AI compute power and up to $100 billion in investments. Both AMD and NVIDIA’s contributions are expected to roll out in the latter half of the decade, signaling unprecedented expansion in AI infrastructure aimed at accelerating research and deployment. The market responded swiftly, with AMD’s stock soaring 25% in pre-market trading, reflecting investor confidence in the partnership's strategic value and AMD’s growing clout in AI hardware.

For OpenAI, these dual alliances address critical compute capacity challenges, easing bottlenecks despite ambitious projects like the $500 billion “Stargate” data center and ongoing Microsoft collaboration. The combined compute power from AMD and NVIDIA promises to support OpenAI’s rapid scaling needs driven by expanding AI applications. This collaboration exemplifies an industry trend of multiple technology providers partnering with leading AI research entities to advance AI capabilities. By securing vast compute resources from both AMD and NVIDIA, OpenAI strengthens its competitive position and innovation trajectory in natural language processing, machine learning, and autonomous systems. For AMD, the partnership elevates its status in the AI hardware ecosystem, enhancing product offerings and market share while fostering long-term ties with a premier AI innovator. This cooperation may drive further GPU advancements informed by OpenAI’s demanding workloads. Together, the NVIDIA and AMD agreements highlight the crucial role of scalable, cutting-edge AI infrastructure in tech’s future as AI models grow more complex and widely applied. In summary, AMD and OpenAI’s partnership, featuring up to 6 gigawatts of GPU compute and substantial equity incentives, challenges market norms and expands critical compute capacities for upcoming AI breakthroughs. Alongside NVIDIA’s efforts, OpenAI is well-positioned to overcome infrastructure constraints and spur AI innovation, with impacts poised to influence research, product development, and industry competition for years ahead.



Brief news summary

AMD and OpenAI have announced a major strategic partnership to transform AI infrastructure, with AMD committing up to 6 gigawatts of GPU compute power via its Instinct GPUs starting in late 2026. The initial phase will deploy 1 gigawatt using AMD’s MI450 chips. As part of the agreement, AMD granted OpenAI 160 million share warrants linked to technical and commercial milestones, positioning AMD as a vital compute partner alongside NVIDIA, which has pledged at least 10 gigawatts and up to $100 billion in investments. This collaboration supports OpenAI’s ambitious $500 billion Stargate project amid growing AI demand. The news propelled AMD’s stock by 25% pre-market, reflecting strong market confidence. The partnership marks a significant step toward scalable, high-capacity AI infrastructure, reinforcing OpenAI’s leadership in natural language processing, machine learning, and autonomous technologies, while solidifying AMD’s role in AI hardware innovation. It underscores the critical importance of cutting-edge compute resources in accelerating AI advancement and driving competitive industry dynamics.

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