OpenAI Launches GPT-6 Astra Ultrafast – 8x Faster with NVIDIA Blackwell
OpenAI has launched GPT-6 Astra Ultrafast, powered by NVIDIA's Blackwell GPUs. The new mode offers up to eight times faster generation for API users and select enterprise clients.

What happened?
OpenAI has launched GPT-6 Astra Ultrafast via its API and for select ChatGPT Work and Codex users. The new mode is powered by NVIDIA's Blackwell GPUs and achieves up to 8x faster token generation compared to Astra Standard. The model's performance has been optimised specifically for the Blackwell architecture to significantly reduce response times.
Key facts
| Prestandaökning | Upp till 8x snabbare tokengenerering |
|---|---|
| Hårdvara | NVIDIA Blackwell GPU:er |
| Målgrupp | OpenAI API, ChatGPT Work och Codex |
”NVIDIA’s deep investment in tooling and documentation has enabled us to make our models exceptionally good at programming Blackwell”
Why it matters
In complex agent workflows where AI continuously writes code, runs tests, and invokes external tools, latency becomes a major bottleneck. By reducing the waiting time at each step, the perceived response time in interactive programs is improved, and development cycles are dramatically shortened.
Who is affected?
The initiative is primarily aimed at software developers and companies building autonomous code agents or interactive applications. Organisations with ChatGPT Work and Codex licences also gain access to the accelerated speed.
Impact on the EU
High-speed API models are generally launched globally, without the EU-specific delays that sometimes affect consumer-oriented features. The higher computational capacity of the Blackwell infrastructure is ready for global distribution via OpenAI's API.
What else you should know
NVIDIA and OpenAI emphasise that the acceleration is not only due to hardware, but also deep software optimisation for programming tools. OpenAI states that NVIDIA's investments in documentation and tools have been crucial for the models' performance in developer environments.
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