We have said it before, and we will say it again as everyone is chewing on the financial results that Nvidia just turned in for its third quarter of fiscal 2025 ended in October. Nvidia does not have to be in any hurry to deliver its “Blackwell” GPU platforms, which …
As far as we have been concerned since founding The Next Platform literally a decade ago this week, AI training and inference in the datacenter are a kind of HPC. They are very different in some ways. HPC takes a tiny dataset and blows it up into a massive simulation …
Every couple of years, Lawrence Livermore National Laboratory gets to install the world’s fastest supercomputer. And thankfully the HPC center usually chooses a machine that not only fulfills its mission of managing the nuclear weapons stockpile of the United States military, but also picks a mix of technologies that advances …
There has been a lot more churn on the November Top500 supercomputer rankings that is the talk of the SC24 conference in Atlanta this week than there was in the list that came out in June at the ISC24 conference in Hamburg, Germany back in May, and there are some …
Lawrence Livermore National Laboratory, Sandia National Laboratories, and Los Alamos National Laboratory are known by the shorthand “Tri-Labs” in the HPC community, but these HPC centers perhaps could be called “Try-Labs” because they historically have tried just about any new architecture to see what promise it might hold in advancing …
Welcome to the second part in our series of chats with J Metz, chair of the Ultra Ethernet Consortium. Like many of you, we have watched the epic battle between Ethernet and InfiniBand in the past two and a half decades. We have also watched how technologies – particularly remote …
If you want to sell a lot of hardware to support AI workloads, then the best way to do that is to convince every country on Earth that AI is so important that they must have a lot of it within their borders. Just in case some political or economic …
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Any time you can get a lot of companies with very technically adept and strongly opinionated people to work together on a problem, or a set of problems, then you know for a fact that there is a real problem. The many problems with Ethernet networking at scale caused the …
Anyone who thinks that Intel is easy to kill need look no further than the historical trends of the Mercury Research market share statistics that we see each quarter. Data for the third quarter of 2024 was just announced, and we have paired this with historical trends in shipments and …
COMMISSIONED As the AI era unfolds, I have been reflecting on my journey in the tech industry. What’s happening with AI at the edge right now reminds me of the early days of the internet, when the potential seemed limitless, but the path was unclear. Similarly, edge computing and AI …
Sponsored Feature Arm is starting to fulfill its promise of transforming the nature of compute in the datacenter, and it is getting some big help from traditional chip makers as well as the hyperscalers and cloud builders that have massive computing requirements and who also need to drive efficiency up …
For most of the history of high performance computing, a supercomputer was a freestanding, isolated machine that was designed to run some simulation or model and the only link it needed to the outside world was a relatively small one to show some visualization. With the GenAI version of artificial …
Generative AI is still very much an emerging technology and it’s morphing and evolving rapidly, as is illustrated with the trend toward agentic AI, which we’ve written about previously. But enterprise adoption is ramping quickly and organizations are moving from testing out the technology to applying it to various use …
COMMISSIONED In the fast-paced world of AI, GPUs are often hailed as the quiet powerhouse driving innovation. They’re the brainpower behind everything from chatbots and self-driving cars to algorithms detecting cancerous cells in medical scans. But here’s a dirty little secret: even the most powerful GPUs can be reduced to …
There are lots of ways that we might build out the memory capacity and memory bandwidth of compute engines to drive AI and HPC workloads better than we have been able to do thus far. But, as we were reminded in a webinar we recently hosted with experts from Microsoft …
Think of it as the ultimate offload model. One of the geniuses of the cloud – perhaps the central genius – is that a big company that would have a large IT budget, perhaps on the order of hundreds of millions of dollars per year, and that has a certain …
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