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. …
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. …
A few years back, when Intel went up on the rocks with its CPU and GPU designs largely because its chip research and manufacturing did not keep pace with the manufacturing and packaging advances made by foundry rival Taiwan Semiconductor Manufacturing Co, we said that we were rapidly moving towards a world where Intel might have 40 percent of the CPU market, AMD might have 40 percent, and Arm and RISC-V would fight over the remaining 19 percent and 1 percent remaining for other exotic datacenter compute engine chippery. …
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. …
With each successive Intel Xeon SP server processor launch, we can’t help but think the same thing: it would have been better for Intel and customers alike if this chip was out the door a year ago, or two years ago, as must have been planned. …
When you host the workhorse supercomputers of the National Science Foundation, you strive to provide the best possible solutions for your scientists. …
There is little question that generative AI as well as other kinds of machine learning are going to augment applications in every industry and in every part of the application stack in the coming years. …
If you had to sum up the second half of 2022 and the first half of 2023 from the perspective of the semiconductor industry, it would be that we made too many CPUs for PCs, smartphones, and servers and we didn’t make enough GPUs for the datacenter. …
Welcome to the second part of our Debunking Datacenter Compute Myths series. …
There has always been a certain amount of fear, uncertainty, and doubt that IT vendors sow as they try to protect their positions in markets that they participate in. …
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