By Benedict Collins
Publication Date: 2026-04-24 15:35:00
- Nvidia says OpenAI Codex deployment offers 50x increase in token output
- Offers 35x reduction in cost compared to GPT-4o
- 10,000 NVIDIA employees now operate codex across HR, legal, engineering and more
OpenAI has deployed its Codex model powered by GPT5.5 across Nvidia in an AI-native enterprise deployment.
The model is now available to over 10,000 Nvidia employees, and has reportedly resulted in a 35x reduction in cost and 50x increase in token output per megawatt compared to GPT-4o.
Codex has already delivered “mind-blowing” and “life-changing” results, according to Nvidia employees.
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‘Frontier-model inference viable at enterprise scale’
In a blog post, Nvidia says, “Debugging cycles that once stretched across days are closing in hours. Experimentation that previously required weeks is turning into overnight progress in complex, multi-file codebases. Teams are shipping end-to-end features from natural-language prompts, with stronger reliability and fewer wasted cycles than earlier models.”
The model has been deployed on Nvidia’s GB200 NVL72 rack-scale systems, and this is what has made the huge savings in cost and token output possible, Nvidia says.
The Nvidia-Codex adoption moves beyond the typical AI deployments most businesses have seen. Nvidia CEO Jensen Huang said, “Chatbots answer questions. Agents do work.”
Codex’s original function was to aid GitHub users as a…