If you need a big, badass box that can support tens of terabytes of memory, dozens of PCI-Express peripheral slots, thousands of directly attached storage devices, all feeding into hundreds of cores that can span that memory footprint with lots of bandwidth, you do not have a lot of options. …
Perhaps the most interesting conversation that has happened so far in the White House in 2025, at least from the point of view of the IT sector, is when Nvidia co-founder and chief executive officer, Jensen Huang, put on his Sunday best suit and visited President Donald Trump to presumably …
Every major economy that is not the United States or China, which has a disproportionate share of HPC national labs as well as hyperscaler and cloud builder tech titans, wants AI sovereignty a whole lot more than they ever worried about HPC simulation and modeling. The reason is simple: AI …
This week, Amazon Web Services announced the availability of its first UltraServer pre-configured supercomputers based on Nvidia’s “Grace” CG100 CPUs and its “Blackwell” B200 GPUs in what is called a GB200 NVL72 shared GPU memory configuration. These machines are known as the U-P6e instances, and come in full rack and …
One of the biggest questions that enterprises, governments, academic institutions, and HPC centers the world over are going to have to answer very soon – if they have not made the decision already – is if they are going to train their own AI models and the inference software stacks …
The European Union cannot practically declare its independence from Nvidia GPUs any more than any other nation can at this point. It is just too difficult to ramp up a diverse AI and HPC software stack on any kind of massively parallel device with high bandwidth memory. AMD may be …
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InfiniBand was always supposed to be a mainstream fabric to be used across PCs, servers, storage, and networks, but the effort collapsed and the remains of the InfiniBand effort found a second life at the turn of the millennium as a high performance, low latency interconnect for supercomputers running simulations …
AI has the power to transform how organizations derive insights, make decisions, and unlock value, but all that depends on the quality of the data. Most AI initiatives fail not because of algorithmic limitations, but because of messy, fragmented, and poorly prepared data. It’s like an orchard that cannot cross-pollinate …
There are definitely easier businesses to be in than operating a neocloud. For one thing, the makers of AI accelerators, which are driving around half of systems sales worldwide these days, are hell bent in getting new compute engines in the field every year, which plays havoc with the street …
With AI being the biggest change in IT infrastructure since the Dot Com boom, it was no surprise that at the annual Cisco Live event last month in San Diego, the focus was on AI – and particularly agentic AI – and how the networking giant differentiates itself from other …
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 information, and not all of it is clean. It is often fragmented, duplicated, poorly governed, or inadequately structured. The old rule of data processing …
It has taken the better part of a year and a half and some wrangling with the US Department of Justice to get it done, but Hewlett Packard Enterprise has finally completed its $14 billion acquisition of Juniper Networks. Let the integration begin! The new HPE Networking business that will …
As we have said many times here at The Next Platform, the only way to predict the actual future is to live it. Despite that, people have a need to forecast because our guesses, prognostications, and hunches are what we base our plans on, and those plans collectively matrix multiply …
Micron Technology has not just filled in a capacity shortfall for more high bandwidth stacked DRAM to feed GPU and XPU accelerators for AI and HPC. It has created DRAM that stacks higher and runs faster than the competition from SK Hynix and Samsung. And therefore Micron has also found …
Hewlett Packard Enterprise has kept a steady drumbeat for much of the year as it looks to position itself as the go-to IT hardware and software vendor for the rapidly expanding AI market, which has grown from chatbots to AI agents in under three years. To that end, HPE is …
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