The dependency dance between AI pioneer OpenAI and the Microsoft Azure cloud and the application software divisions of its parent company are fascinating to watch. …
The first thing to note about the rumored “Stargate” system that Microsoft is planning to build to support the computational needs of its large language model partner, OpenAI, is that the people doing the talking – reportedly OpenAI chief executive officer Sam Altman – are talking about a datacenter, not a supercomputer. …
It is a strange time in the generative AI revolution, with things changing on so many vectors so quickly it is hard to figure out what all of this hardware and software and people-hours costs and what it might be worth when it comes to transforming, well, just about everything. …
There is more than one way to get to a large language model with over 1 trillion parameters that can do lots of different things and enterprises can use to create AI training and inference infrastructure to extend and enrich their thousands of applications. …
It would be hard to find something that is growing faster than the Nvidia datacenter business, but there is one contender: OpenAI. …
We learn a lot of lessons from the hyperscalers and HPC centers of the world, and one of them is that those who control their own software control their own fates. …
The question is no longer whether or not the “El Capitan” supercomputer that has been in the process of being installed at Lawrence Livermore National Laboratory for the past week – with photographic evidence to prove it – will be the most powerful system in the world. …
We could have a long, thoughtful, and important conversation about the way AI is transforming the world. …
Like the rest of the world, we have been watching Microsoft’s increasing use of foundation models as it transforms its services and software. …
When it comes to building any platform, the hardware is the easiest part and, for many of us, the fun part. …
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