News listJensen Huang sends internal memo: 10,000 NVIDIA employees mandated to switch to OpenAI Codex, GPT-5.5 to run on GB200 chips
動區 BlockTempo2026-04-24 04:04:14

Jensen Huang sends internal memo: 10,000 NVIDIA employees mandated to switch to OpenAI Codex, GPT-5.5 to run on GB200 chips

ORIGINAL黃仁勳發內部信:強制 1 萬名 NVIDIA 員工改用 OpenAI Codex,GPT-5.5 用 GB200 晶片跑
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NVIDIA CEO Jensen Huang personally sent an all-hands email requiring over 10,000 employees to fully adopt OpenAI's latest tool, Codex, emphasizing that "everyone should use Codex agents." This move not only symbolizes the deepening partnership between the two tech giants, but more intriguingly, the GPT-5.5 model powering Codex runs on NVIDIA's own GB200 NVL72 rack-scale systems. (Previous coverage: OpenAI launches new engineer agent Codex! AI can write features, fix bugs, run tests... limited to 3 types of users for early access) (Background: Massive! NVIDIA invests $100 billion to partner with OpenAI, co-building a 10GW AI data center; NVDA jumps 3.9%) The email from Jensen Huang caused quite a stir in the tech circle this week—not because of any earth-shattering secret, but because Sam Altman posted it directly on the X platform. In the email, Jensen Huang wrote: "OpenAI Codex, based on GPT-5.5, is now officially released and open to all NVIDIA employees! Engineering, Product, Legal, Marketing, Finance, Sales, HR, Operations, and Developer Programs—everyone has had early access and created many amazing results with it." The final sentence of the email reflects his signature style: "Let's jump to lightspeed together. Welcome to the age of AI." NVIDIA noted on its official blog that Codex is now powered by GPT-5.5—OpenAI's latest frontier model—and the underlying compute for this model is NVIDIA's own GB200 NVL72 rack-scale system. OpenAI officially released GPT-5.5 to paid subscribers on Thursday (4/23), just 6 weeks after the previous generation GPT-5.4. The pace at which frontier AI labs are competing for enterprise clients is becoming breathless. For NVIDIA, the signal from this all-hands email is clear: the best AI tools run on the best AI chips. Jensen Huang doesn't need to say much; this logic itself is the most powerful advertisement. Jensen Huang specifically named 9 departments in the email: Engineering, Product, Legal, Marketing, Finance, Sales, HR, Operations, and Developer Programs. This list itself is a manifesto—Codex is not just for those who write code. He stated directly in the email: "Codex is not just for software teams; everyone should use Codex agents. They are our teammates, the superpowers that allow us to go beyond what we have done before. Better, smarter, faster." NVIDIA has also set up a Codex Lab within its new Silicon Valley headquarters, Endeavor, as a physical base for employee onboarding, and announced a series of online workshops in the coming weeks to help staff from all departments get started. This scale doesn't feel like a "suggestion to try it out," but rather a comprehensive enterprise transformation plan. To understand the background of this email, one cannot ignore the complex interests between NVIDIA and OpenAI. On the surface, this is a deep partnership: NVIDIA previously announced a $100 billion investment to co-build a 10GW AI data center with OpenAI, and foreign media reported on a $30 billion stake negotiation—if realized, NVIDIA would become one of OpenAI's major shareholders. Jensen Huang personally requiring all employees to use Codex is simply pushing this partnership deeper. But cracks exist simultaneously. OpenAI is actively advancing its own AI chip project, expecting to complete the design this year and hand it to TSMC for trial production, aiming to reduce reliance on NVIDIA's compute. On the other hand, AMD has also secured a 10% stake in OpenAI, making both AI chip manufacturers hardware partners of OpenAI, creating an increasingly subtle "coopetition" relationship. From this perspective, the significance of Jensen Huang's email is more than just "promoting AI tools"—he has explicitly tied the daily productivity of all 10,000 NVIDIA employees to OpenAI's model ecosystem. This is both a public endorsement of the depth of the partnership and can be interpreted as a gesture of goodwill: we are your most loyal users, you don't need to build your own chips. Jensen Huang loves the term "lightspeed"—it's a Star Wars reference and his consistent linguistic style from GTC to internal emails. But the context this time is more grounded than any keynote: not speaking to the media on stage, but to the employees in his own company who write financial reports, run HR, and handle sales. The full adoption of AI coding agents may face relatively less resistance for a company like NVIDIA, which is already known for its engineering culture. But the real question is: when the marketing, legal, and finance departments all start "working with AI teammates," how will the human resource structure change? Jensen Huang did not answer this question in
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Published:2026-04-24 04:04:14
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