OpenAI Reaffirms Strong Alliance with Nvidia as Core AI Partner
Amid swirling industry speculation about Nvidia's future role in its operations, Sam Altman-led OpenAI has publicly reinforced the strength of its strategic partnership with the semiconductor giant. In a detailed LinkedIn post, OpenAI's head of compute infrastructure, Sachin Katti, emphasized that Nvidia remains the artificial intelligence firm's "most important partner for both training and inference."
A Foundational Relationship Beyond Vendor Dynamics
Katti described the collaboration as "foundational" rather than a typical supplier arrangement, stating explicitly, "This is not a vendor relationship." He elaborated that OpenAI and Nvidia engage in "deep, ongoing co-design" where both companies work collaboratively to build systems together. According to the executive, OpenAI's frontier AI models are the direct result of multi-year joint efforts in both hardware engineering and model development.
The post revealed a critical operational detail: OpenAI's entire compute fleet currently runs exclusively on Nvidia GPUs. This underscores the technical dependency and integrated nature of the partnership, which Katti positioned as essential for maintaining performance, efficiency, and reliability in both training complex models and running inference at scale.
Exponential Growth in Computing Demands
Katti provided specific metrics highlighting OpenAI's rapidly expanding computational needs in recent years:
- 2023: 0.2 gigawatts of available compute
- 2024: 0.6 gigawatts of available compute
- 2025: Approximately 1.9 gigawatts of available compute
The executive noted that this scaling pace is accelerating significantly, driven by exponential growth in inference demand. This surge comes from more users, increased deployment of AI agents, and a rising volume of always-on workloads. Katti emphasized that "the world needs orders of magnitude more compute" to meet growing AI application requirements.
Strategic Ecosystem Expansion While Anchoring on Nvidia
While firmly anchoring its core training and inference stack on Nvidia technology, OpenAI is simultaneously pursuing a deliberate strategy to expand its hardware ecosystem through additional partnerships. Katti mentioned collaborations with Cerebras, AMD, and Broadcom as part of this approach.
This dual strategy allows OpenAI to move faster, deploy more broadly, and support the explosion of real-world AI use cases without compromising on performance or reliability standards. The outcome, according to Katti, is infrastructure capable of carrying frontier AI capabilities into production at a global scale.
The public reaffirmation comes at a time when industry observers have questioned whether OpenAI might diversify its hardware dependencies or develop more proprietary solutions. By detailing both the depth of the Nvidia partnership and the rationale behind ecosystem expansion, OpenAI provides clarity on its infrastructure strategy while reinforcing confidence in its primary technology alliance.
