The world has gone nuts for generative AI, and it is going to get a whole lot crazier. Like $400 billion a year in GPU hardware spending by 2027 crazier. If you don’t think this is an enormous amount of spending, consider that the US Department of Defense, which is …
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 been saying since we first caught wind of the “Antares” Instinct MI300 family of GPUs, AMD is going to take Nvidia …
China is using a domestic processor as the backbone for double the performance of the Tianhe-2 system, which topped the Top 500 starting in 2013 and running through late 2015 before being overshadowed by the Sunway system in recent years. We have no official public details about Tianhe-3, although the …
COMMISSIONED: Artificial intelligence (AI) promises to change the world. But AI algorithms are only as good as the data sets they’re built on. Since most data is generated and consumed outside of traditional datacenters and clouds, you need the ability to capture and process data where it’s created – at …
Amazon Web Services may not be the first of the hyperscalers and cloud builders to create its own custom compute engines, but it has been hot on the heels of Google, which started using its homegrown TPU accelerators for AI workloads in 2015. AWS started with “Nitro” DPUs in 2017 …
Server makers Dell, Hewlett Packard Enterprise, and Lenovo, who are the three largest original manufacturers of systems in the world, ranked in that order, are adding to the spectrum of interconnects they offer to their enterprise customers. And when we say that, we really do mean spectrum, and specially we …
Many have waited years to hear someone like Prahlad Venkatapuram, Senior Director of Engineering at Meta, say what came out this week at the RISC-V Summit: “We’ve identified that RISC-V is the way to go for us moving forward for all the products we have in the roadmap. That includes …
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SPONSORED FEATURE: So, you’re finally ready to jump on the AI bandwagon. You have oodles of data lying around your company and you’re eager to unlock its value. But wait a minute – is your infrastructure ready to handle it? Look closely, and you’re likely to find bottlenecks that will …
This week Nvidia shared details about upcoming updates to its platform for building, tuning, and deploying generative AI models. The framework, called NeMo (not to be confused with Nvidia’s conversational AI toolkit or BioNeMo for drug development), is designed to let users train large-scale models and is the same platform …
COMMISSIONED: Innovation at the edge is happening at light speed. Everywhere you turn, organizations are seeking to shift their center of data processing gravity from central locations like head offices and datacenters to the outer limits of the operation – to factory floors, hospital wards, truck fleets and smart cities. …
In the history of computing, there has been an endless push and pull between the need for general-purpose versus fine-tuned custom systems and software. While general purpose will, by nature, prevail on leadership-class HPC, the work done in meticulous world of ASIC design, system and software optimization filters into architectural …
When we first talked to Voltron Data following their launch in early 2022, we had to take care to explain why Apache Arrow was worth paying attention to and why it might warrant the level of enterprise support the startup promised. Even more explanation was needed to justify the $110 …
SPONSORED FEATURE: The face of modern networking is changing dramatically in parallel with the exponential increase in the volume of data traffic over the last several years. Enterprises and cloud service providers alike are struggling to handle that transmission workload, whilst simultaneously trying to contain costs. It’s a tall order …
The ProLiant server business is down in the dumps, and the storage business is in a slump. But petascale and exascale supercomputer deals based the combination of AMD CPUs and GPUs have filled in a lot of the gap. And Hewlett Packard Enterprise is now waiting, like all OEMs and …
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 of a unit of compute – and the looser coherency over the network across those nodes. All things being equal, you try to …
For more than a year, we have been expecting for Amazon Web Services to launch its Graviton4 processor for its homegrown servers at this year’s re:Invent, and lo and behold, chief executive officer Adam Selipsky rolled out the fourth generation in the Graviton CPU lineup – and the fifth iteration …
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