Nvidia Tapped To Accelerate RIKEN’s FugakuNext Supercomputer
It has been clear for some time that Japan wants to have a certain amount of economic and technical independence when it comes to cloud computing in the| The Next Platform
Sales of GPU-accelerated servers are still hurting margins at Hewlett Packard Enterprise, as they are doing at all OEMs and probably the ODMs, too, but the good news is that they will be hurting less and less as sales of beefier and more profitable general purpose servers are on the rise and as sovereign clouds and neoclouds turn to HPE for iron and pay higher unit prices for gear. … HPE Systems Rebound As Juniper Brings A Further Boost was written by Timothy Prickett Morgan at The Next Pla...| The Next Platform
It has taken nearly two decades and an immense amount of work by millions of people for high performance computing to go mainstream with GenAI. … Why Is Japan Still Investing In Custom Floating Point Accelerators? was written by Timothy Prickett Morgan at The Next Platform.| The Next Platform
There is no question that one of the smartest things that chip designer, packager, and manufacturing process manager Marvell Technology did was to shell out $650 million in May 2019 to buy Avera Semiconductor. … Marvell’s Custom XPU Pipeline Is A Declaration Of AI Independence was written by Timothy Prickett Morgan at The Next Platform.| The Next Platform
For the Linux Foundation, this summer in part has been spent pulling in new projects aimed at building an open architecture around the quickly emerging world of agentic AI, the latest rage in the ever-expanding generative AI universe. … Linux Foundation Brings Solo.io’s Gateway Into The Agentic AI Fold was written by Jeffrey Burt at The Next Platform.| The Next Platform
Every OEM in the world has two choices. Choice One: Sell the Nvidia AI hardware and software stack and boost the top line while diluting operating income in their systems businesses. … With AI Boom, Dell’s Datacenter Biz Is Finally Bigger Than Its PC Biz was written by Timothy Prickett Morgan at The Next Platform.| The Next Platform
The expectations for GenAI are unreasonably high and the pressure on Nvidia is tectonic. … Nvidia Sets The Datacenter Growth Bar Very High As Compute Sales Dip was written by Timothy Prickett Morgan at The Next Platform.| The Next Platform
As we talked about a decade ago in the wake of launching The Next Platform, quantum computers – at least the fault tolerant ones being built by IBM, Google, Rigetti, and a few others – need a massive amount of traditional Von Neumann compute to help maintain their state, assist with qubit error correction, and assist with their computations. … IBM And AMD Tag Team On Hybrid Classical-Quantum Supercomputers was written by Timothy Prickett Morgan at The Next Platform.| The Next Platform
With AMD having attaining more than 40 percent revenue share and more than 27 percent shipment share in the X86 server CPU market in the first half of 2025, that means two things. … Intel’s “Clearwater Forest” Xeon 7 E-Core CPU Will Be A Beast was written by Timothy Prickett Morgan at The Next Platform.| The Next Platform
Just because the center of gravity for GenAI compute and other kinds of machine learning and data analytics has shifted from the CPU to the XPU accelerator – generally a GPU these days, but not universally – does not mean that the choice of the CPU for the system hosting those XPUs doesn’t matter. … NeuReality Wants Its NR2 To Be Your Arm CPU For AI was written by Timothy Prickett Morgan at The Next Platform.| The Next Platform
It has been clear for some time that Japan wants to have a certain amount of economic and technical independence when it comes to cloud computing in the| The Next Platform
It’s fall, so that means it is the annual Super Computing conference that has been held in the United States by the Association for Computing Machinery| The Next Platform
It is pretty obvious to everyone who watches the IT market that Intel needs an architectural win that leads to a product win in datacenter compute. And it| The Next Platform
If you thought it took a lot of compute and storage to build Facebook’s social network, you ain’t seen nothing yet. The immersive and AI-enhanced| The Next Platform
Within a year or so, with the launch of the “Grace” Arm server CPUs, it will not be heresy for anyone at Nvidia to believe, or to say out loud, that not| The Next Platform
D-Wave executives stirred up some controversy earlier this year when they claimed a smaller version of its Advantage 2 annealing quantum system, armed| The Next Platform
Making a graphics card for gamers is one thing, but manufacturing a rackscale supercomputer with over 600,000 components that burns 120 kilowatts of| The Next Platform
Each time that the United States has figured out that it needed to do export controls on massively parallel compute engines to try to discourage China| The Next Platform
Arm chip designers who make processors for mobile devices, such as Apple, Samsung, and Qualcomm, that do not have pre-existing server businesses have been| The Next Platform
Businesses have always relied on data, but they never were able to get full value out of them when they were siloed by structure, system, or storage.| The Next Platform
The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of| The Next Platform
Some heavy hitters like Intel, IBM, and Google along with a growing number of smaller startups for the past couple of decades have been pushing the| The Next Platform
With every new technology that takes off in the IT sector, there is a somewhat predictable curve. The product grows by leaps and bounds in triple digit| The Next Platform
Here we go again. Some big hyperscalers and cloud builders and their ASIC and switch suppliers are unhappy about Ethernet, and rather than wait for the| The Next Platform
If you want to get a sense of what companies are really doing with AI infrastructure, and the issues of processing and network capacity, power, and| The Next Platform
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| The Next Platform
If there is one thing that is consistently true about HPC clusters for the past thirty years and for AI training systems for the past decade, it is as| The Next Platform
Normally, when we look at a system, we think from the compute engines at a very fine detail and then work our way out across the intricacies of the nodes| The Next Platform
Big Blue was one of the system designers that caught the accelerator bug early and declared rather emphatically that, over the long haul, all kinds of| The Next Platform
Everyone knows that machine learning inference is going to be a big deal for commercial applications in the years ahead, but no one is precisely sure how| The Next Platform
It must have been something in the cosmic ether. Apopros of nothing except the need to fill a blank page with something interesting back when we were| The Next Platform
The changes to the Xeon server chip architecture and the consequent server platforms are going to be a bit thin here in 2018 after a pretty big jump with| The Next Platform
To a certain extent, the “Knights” family of parallel processors, sold under the brand name Xeon Phi, by Intel were exactly what they were supposed to be:| The Next Platform
Imagine, if you will, that your two biggest rivals were Intel and Nvidia, and that you had to fight a two front war to storm the datacenter. You would not| The Next Platform
IBM did not just stake the future of its Power chip and the systems business on which it depends on the OpenPower Foundation, a consortium now with 160| The Next Platform
Hot on the heels of the closing of the deal that divests its semiconductor business and places it in the hands of Globalfoundries, the former chip making| The Next Platform
Hewlett Packard Enterprise is going through yet another restructuring to reduce costs, something we have seen a lot of in the past two decades and a half| The Next Platform
We are not shy of playing guessing games here at The Next Platform, as you all well know. And Intel and Cray have left us with a few big ones with regard| The Next Platform
Moore’s Law might be slowing down CPU compute capacity increases in recent years, but the innovation has been coming at a steady drumbeat for the| The Next Platform
Last fall, supercomputer maker Cray announced that it was getting back to making high performance cluster interconnects after a six year hiatus, but the| The Next Platform
The irony, of course, is that there is never a summit when it comes to supercomputing. The tectonic forces of Moore’s Law, voracious appetites for| The Next Platform
Supercomputer makers have been on their exascale marks, and they have been getting ready, and now the US Department of Energy has just said “Go!” The| The Next Platform
The potent combination of powerful CPUs, floating point laden GPU accelerators, and fast InfiniBand networking are coming to market and reshaping the| The Next Platform
The competition for the compute engines in hybrid HPC and AI supercomputer systems is heating up, and it is beginning to look a bit like back to the| The Next Platform
To effectively make use of the level of concurrency in forthcoming exascale systems – hundreds of thousands of compute elements with millions of threads –| The Next Platform
If there is one bright spot in the Xeon SP server chip line from Intel, it is the version of the “Sapphire Rapids” Xeon SP processor that has HBM memory| The Next Platform
There are a lot of things that compute engine makers have to do if they want to compete in the datacenter, but perhaps the most important thing is to be| The Next Platform
There are many reasons why Nvidia is the hardware juggernaut of the AI revolution, and one of them, without question, is the NVLink memory sharing port| The Next Platform
China has lots of coal but it does not have a lot of GPUs or other kinds of tensor and vector math accelerators appropriate for HPC and AI. And so as it| The Next Platform
High tech companies always have roadmaps. Whether or not they show them to the public, they are always showing them to key investors if they are in their| The Next Platform
Big Blue might be a little late to the AI acceleration game, but it has a captive audience in its System z mainframe and Power Systems servers. Many of| The Next Platform
Making money from sand is not as easy as making money from oil, and the Emirate of Abu Dhabi, which has been assembling the GlobalFoundries chip making| The Next Platform
As we have seen with various kinds of high bandwidth, stacked DRAM memory to compute engines in the past decade, just adding this wide, fast, and| The Next Platform
There are a lot of new technologies that are available now or are going to be available shortly that have the potential to radically change the compute,| The Next Platform
As the steward of the nuclear weapon arsenal for the United States government, it is probably not an overstatement to say that Lawrence Livermore National| The Next Platform
After a long wait, now we know. All three of the initial exascale-class supercomputer systems being funded by the US Department of Energy through its| The Next Platform
Whenever one company buys another, every product line, every research project, and every employee is ultimately in play. But when Hewlett Packard| The Next Platform
While processors and now GPUs tend to get all of the glory when it comes to high performance computing, for the past three decades as distributed| The Next Platform
There is nothing quite like great hardware to motivate people to create and tune software to take full advantage of it during a boom time. And as we have| The Next Platform
The most exciting thing about the Top500 rankings of supercomputers that come out each June and November is not who is on the top of the list. That’s fun| The Next Platform
We like datacenter compute engines here at The Next Platform, but as the name implies, what we really like are platforms – how compute, storage,| The Next Platform
If you want to take on Nvidia on its home turf of AI processing, then you had better bring more than your A game. You better bring your A++ game, several| The Next Platform
If you want to buy an exascale-class supercomputer, or a portion of one so you can scale up, there are not a lot of places to go shopping because there| The Next Platform
Every couple of years, Lawrence Livermore National Laboratory gets to install the world’s fastest supercomputer. And thankfully the HPC center usually| The Next Platform
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| The Next Platform
It has become a well known fact these days that the switches that are used to interconnect distributed systems are not the most expensive part of that| The Next Platform
It would be hard to find something that is growing faster than the Nvidia datacenter business, but there is one contender: OpenAI. Open AI is, of course,| The Next Platform
TNP offers in-depth coverage of high-end computing at large enterprises, supercomputing centers, hyperscale data centers, and public clouds. Read more…| The Next Platform
Some details are emerging on Europe’s first exascale system, codenamed “Jupiter” and to be installed at the Jülich Supercomputing Center in Germany in| The Next Platform
When Intel announced its “Falcon Shores” project to build a hybrid CPU-GPU compute engine back in February 2022 that allowed the independent scaling of| The Next Platform
Since the advent of distributed computing, there has been a tension between the tight coherency of memory and its compute within a node – the base level| The Next Platform
For very sound technical and economic reasons, processors of all kinds have been overprovisioned on compute and underprovisioned on memory bandwidth – and| The Next Platform
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| The Next Platform
The datacenter industry today looks very different than it did a decade ago. A number of factors have emerged over the past few years: most recently, the| The Next Platform
