100,000+ GPUs.
That's what it took to train @OpenAI's GPT-6 Astra.
Meanwhile, most devs struggle to access or afford even a handful of GPUs.
That's the big problem in AI today.
At one end, clusters with effectively unlimited compute.
At the other, startups, researchers, and developers fighting for access and watching every GPU hour.
Simply adding more GPUs won't fix that.
We need a better way to access and utilize the compute that already exists.
That's what @ionet is for.
https://www.cnet.com/tech/services-and-software/openai-gpt-6-astra-release-ai-agi-chatgpt/
That's what it took to train @OpenAI's GPT-6 Astra.
Meanwhile, most devs struggle to access or afford even a handful of GPUs.
That's the big problem in AI today.
At one end, clusters with effectively unlimited compute.
At the other, startups, researchers, and developers fighting for access and watching every GPU hour.
Simply adding more GPUs won't fix that.
We need a better way to access and utilize the compute that already exists.
That's what @ionet is for.
https://www.cnet.com/tech/services-and-software/openai-gpt-6-astra-release-ai-agi-chatgpt/
