AI agents have revolutionized developer workflows, and their next frontier is knowledge work: processing information, solving complex problems, coming up with new ideas and driving innovation.
Codex, OpenAI’s agentic coding application, is enabling this new frontier. It’s now powered by GPT-5.5, OpenAI’s latest frontier model, which runs on NVIDIA GB200 NVL72 rack-scale systems.
Over 10,000 NVIDIANs — across engineering, product, legal, marketing, finance, sales, HR, operations and developer programs — are already using GPT-5.5-powered Codex to achieve, in their words, “mind-blowing” and “life-changing” results.
NVIDIA engineers have had access to GPT-5.5 through the Codex app for a few weeks, and the gains are measurable. Served on GB200 NVL72, which is capable of delivering 35x lower cost per million tokens and 50x higher token output per second per megawatt compared with prior-generation systems — economics that make frontier-model inference viable at enterprise scale.
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.
OpenAI’s stunning progress is just the latest example of NVIDIA’s work with every frontier model company — not just to accelerate the use of AI agents inside NVIDIA, but to help the company’s partners build the world’s best, lowest cost and most power efficient models for everyone.
As NVIDIA founder and CEO Jensen Huang told employees in a company-wide email urging everyone to use Codex: “Let’s jump to lightspeed. Welcome to the age of AI.”
Just like humans, every agent needs its own dedicated computer.
Key considerations
- Investor positioning can change fast
- Volatility remains possible near catalysts
- Macro rates and liquidity can dominate flows
Reference reading
- https://blogs.nvidia.com/blog/openai-codex-gpt-5-5-ai-agents/#primary
- https://blogs.nvidia.com/blog/author/justin-boitano/
- https://blogs.nvidia.com/blog/openai-codex-gpt-5-5-ai-agents/#disqus_thread
- Nvidia exec says AI is more expensive than actual workers — yet some companies don't see the extra costs as a negative
- TSMC SoIC 3D stacking roadmap outlines path from 6-micron pitches today to 4.5-micron in 2029 — Fujitsu's Monaka CPU to benefit from face-to-face chiplet stacki
- This £8.59 TP-Link gigabit Ethernet switch is the ultimate budget upgrade for lag-free gaming and streaming — ideal solution for ditching laggy Wi-Fi connection
- Lenovo abandons separate magnesium frame for latest P16 Gen 3 laptop after 20 years — robust feature introduced in ThinkPad T60 in 2006, company now integrates
- Victim of AI agent that deleted company's entire database gets their data back — cloud provider recovers critical files and broadens its 48-hour delayed delete
Informational only. No financial advice. Do your own research.