With Blackwell GPUs, AI Gets Cheaper And Easier, Competing With Nvidia Gets Harder
If you want to take on Nvidia on its home turf of AI processing, then you had better bring more than your A game. …
If you want to take on Nvidia on its home turf of AI processing, then you had better bring more than your A game. …
Note: This story augments and corrects information that originally appeared in Half Eos’d: Even Nvidia Can’t Get Enough H100s For Its Supercomputers, which was published on February 15. …
What is the most important factor that will drive the Nvidia datacenter GPU accelerator juggernaut in 2024? …
Here is a history question for you: How many IT suppliers who do a reasonable portion of their business in the commercial IT sector – and a lot of that in the datacenter – have ever broken through the $100 billion barrier? …
For a lot of state universities in the United States, and their equivalent political organizations of regions or provinces in other nations across the globe, it is a lot easier to find extremely interested undergraduate and graduate students who want to contribute to the font of knowledge in high performance computing than it is to find the budget to build a top-notch supercomputer of reasonable scale. …
Note: There is a story called A Tale Of Two Nvidia Eos Supercomputers that augments and corrects information that originally appeared in this story as it was published on February 15. …
In many ways, the “Grace” CG100 server processor created by Nvidia – its first true server CPU and a very useful adjunct for extending the memory space of its “Hopper” GH100 GPU accelerators – was designed perfectly for HPC simulation and modeling workloads. …
The national supercomputing centers in the United States, Europe, and China are not only rich enough to build very powerful machines, but they are rich enough, thanks to their national governments, to underwrite and support multiple and somewhat incompatible architectures to hedge their bets and mitigate their risk. …
We have five decades of very fine-grained analysis of CPU compute engines in the datacenter, and changes come at a steady but glacial pace when it comes to CPU serving. …
Emulation is not just the sincerest form of flattery. It is also how you jump start the adoption of a new compute engine or move an entire software stack from one platform to another with a different architecture. …
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