Two companies dominate headlines about AI, but they play completely different positions. Confusing them is like confusing the steel mill with the car factory.
Nvidia: the picks and shovels
Nvidia designs the GPUs that train and run almost every large model. Its data-center chips — the H100, then the B200 — are the de facto standard, and its CUDA software stack is a moat that rivals can’t easily copy. When AI companies spend, a large fraction of every dollar flows to Nvidia. That’s why Nvidia became one of the most valuable companies on earth off a chip business.
OpenAI: the model shop
OpenAI builds the models — GPT-4, GPT-5, and the surrounding products (ChatGPT, the API). It spends enormous sums renting compute (much of it Nvidia’s) to train ever-larger models, then sells access by the token. OpenAI is the demand that Nvidia’s supply exists to serve.
How they depend on each other
- OpenAI can’t train frontier models without Nvidia-class GPUs.
- Nvidia’s growth depends on AI labs like OpenAI keeping the training arms race going.
- But both are diversifying: OpenAI explores custom chips and Nvidia’s customers (Microsoft, Google) build their own silicon to reduce dependence.
The rest of the field
Microsoft backs OpenAI; Google builds both chips (TPUs) and models (Gemini); Anthropic (Claude) is OpenAI’s nearest rival; Meta open-sources Llama; DeepSeek and Mistral push open-weight competition. The stack, top to bottom: chips → cloud → models → products. Nvidia owns the bottom, OpenAI the top.
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Filed under: Business & Policy, AI, NVIDIA, OpenAI