Just when it looked like OpenAI might be drifting away from Nvidia, the two are locking in tighter than ever. OpenAI is set to be the biggest customer for Nvidia’s upcoming Groq-powered processor, committing to 3GW of dedicated inference capacity. This is a massive deal — and a major turning point in the AI hardware race.
The Nvidia-Groq Chip That Changes Everything
Nvidia is developing a new system focused on “inference” computing — the processing that lets AI models respond to queries — and the platform will incorporate a chip designed by startup Groq. The new platform is set to be unveiled at Nvidia’s GTC developer conference in San Jose next month.
| Detail | Info |
|---|---|
| Chip Type | Groq LPU (Language Processing Unit) |
| Focus | AI Inference (not training) |
| Nvidia-Groq Deal | $20B licensing agreement |
| OpenAI Commitment | 3GW dedicated inference capacity |
| Unveil Event | GTC 2026, San Jose |
| Nvidia Investment in OpenAI | Up to $100B |
Why OpenAI Chose Nvidia Over Cerebras and Groq Directly
OpenAI had been in talks with both Cerebras and Groq to provide chips for faster inference — but Nvidia’s $20 billion licensing deal with Groq effectively shut those conversations down. Now, instead of going around Nvidia, OpenAI gets Groq’s ultra-fast LPU technology baked into a Nvidia-backed solution.
This comes at a sensitive time — OpenAI had recently been exploring more efficient alternatives, making Nvidia’s win here all the more significant. As TechnoSports has followed, the AI infrastructure race is now as much about inference speed as it is raw compute power.
Groq’s LPU technology is known for record-breaking inference speeds — over 241 tokens per second — while Nvidia’s GTC 2026 is expected to be one of the biggest AI hardware announcements of the year, also featuring Vera Rubin and next-gen architectures.
The message is clear: whoever controls inference, controls the AI experience.
