Nvidia accelerates enterprise AI adoption with widespread Codex deployment
Nvidia has rolled out OpenAI’s Codex to over 10,000 employees, marking a significant shift from pilot projects to integral business tools, with significant cost and efficiency gains reported.
Nvidia has rolled out OpenAI’s Codex to over 10,000 employees, marking a significant shift from pilot projects to integral business tools, with significant cost and efficiency gains reported.
Nvidia has expanded access to OpenAI’s Codex across more than 10,000 employees, in a rollout that underscores how quickly AI coding tools are moving from pilot projects into daily corporate use. According to reporting from TechSpot, TechRadar and TweakTown, the system is being used not only by engineers but also by staff in legal, marketing, HR and finance, with Nvidia presenting the deployment as part of a wider push to speed up software development and routine knowledge work.
The companies say the tool is running on Nvidia’s GB200 NVL72 rack-scale systems and benefiting from a large GPU cluster designed for high-throughput inference. TechSpot reported claims of a 35-fold reduction in cost per million tokens and a 50-fold increase in token output per megawatt versus earlier systems, while Nvidia employees have described tasks that once took days being compressed into hours. Jensen Huang has reportedly urged staff to embrace the technology, framing it as a step toward agents that actually do work rather than simply respond to prompts.
The rollout comes as traders on Polymarket continue to bet that Nvidia could hold the title of the world’s most valuable company, at least in the near term. The market on whether Nvidia will be the largest company by market capitalisation on 30 June is currently priced around 54.5% yes, according to Polymarket’s own listing and a market monitor tracking activity on the platform. The same market shows substantial turnover and enough liquidity to allow retail-sized positions, suggesting the view remains active rather than settled.
Even so, the longer-dated contract points to less confidence that Nvidia can stay at the top through year-end, which reflects the market’s recognition that its lead depends on more than product momentum alone. Its position is still shaped by broader issues including export controls on chips to China, future earnings results and whether internal productivity gains from Codex translate into faster execution across the business. For now, the company’s deepening relationship with OpenAI is being read as both a technical milestone and a strategic signal about where enterprise AI adoption is headed.
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Source: Noah Wire Services