Last May, after we had done a deep dive on the “Hopper” H100 GPU accelerator architecture and as we were trying to reckon what Nvidia could charge for the PCI-Express and SXM5 variants of the GH100, we said that Nvidia needed to launch a Hopper-Hopper superchip. The performance of the …
Nvidia is not rich enough – or dumb enough – to build a cloud to rival the likes of Amazon Web Services, Microsoft Azure, or Google Cloud. But it is smart enough to use these vast compute and storage utilities to its own advantage and to make money selling services …
Like the rest of the world, we have been watching Microsoft’s increasing use of foundation models as it transforms its services and software. It is hard to say for sure, but with hundreds of thousands of GPUs deployed across the dozens of regions, Microsoft has probably amassed the largest pool …
For many years, and quite a long time ago in computer time, Hadoop was seen as the best way to store and analyze mountains of unstructured data. But then workloads and data began shifting to the biggest cloud builders, where Amazon Web Services, Microsoft Azure, and Google Cloud were waiting …
Sponsored Post: As in so many other aspects of life, not all compute workloads are created equal – they need a more subtle approach to getting the best out of them which brings a more potent balance of hardware and software into the mix. And that means the international CPU …
High performance computing workloads simulating all manner of things can produce a veritable mountain of data that has to be sifted through. In fact, that is what makes HPC the opposite of AI: You take a small amount of data and explode it into a massive simulation. AI takes a …
When it comes to chips, there is a big difference between a kicker and a fork. The kicker is a successor that implements an architecture and design and that includes microarchitecture enhancements to boost core performance (core in the dual meanings of that word when it comes to CPUs) as …
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HOT SEAT INTERVIEW: Will your smartphone break if you drop it? Will your car crumple if you crash it? Will the beams that hold up your roof buckle under extreme weather conditions? It’s these characteristics that finite element analysis (FEA) simulations are designed to help test prior to product construction, …
We talk about scale a lot here at The Next Platform, but there are many different aspects to this beyond lashing a bunch of nodes together and counting aggregate peak flops. For instance, for the past decade, and certainly since the rise of GPU-accelerated AI training in the cloud, the …
The years-long run-up to the first exascale supercomputers was really a story about the ongoing competition between the United States and China. Who was going to get there first? How long was it going to take? How much of an advantage would the country with the first exascale systems see …
Sponsored Feature: High performance computing continually sharpens the cutting edge of technology. Tackling the biggest problems in science or industry, whether at planetary or micro scale is, by definition, going to drive innovation in all aspects of computer infrastructure and the software that runs on it. The engineers and admins …
With each passing year, the phrase “The network is the computer,” coined in 1984 by John Gage, director of research and co-founder of Sun Microsystems, becomes more and more true. And it was certainly at its most truest in 2022 if you use Ethernet datacenter switching revenues as a gauge. …
About half as much. This is the pattern we have been seeing as many growing tech companies close out their 2022 or fiscal 2023 years and look ahead to their 2023 or fiscal 2024 years. And what we are referring to is the revenue growth rates for those companies in …
ADVERTORIAL: The increasing need for more accurate weather modeling rears its head on an almost daily basis, as the changing global climate proves to be one of humanity’s greatest challenges. Complex weather modeling has been a mainstay of supercomputing for decades, but as weather extremes test these models a different …
There is something weird about storage companies that were started around the same time as the Great Recession. The big ones that have gone public after being true innovators in their fields – MongoDB in NoSQL databases, Nutanix in hyperconverged storage, and Pure Storage in all-flash arrays – have grown …
We know, as you do, that artificial intelligence is driving a lot of spending at IT organizations and is probably the fundamental driver of spending by the hyperscalers and cloud builders that have, thus far, benefitted most from the machine learning revolution. But just how much money are companies sinking …
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