Nvidia Expands AI Stack, Stretches From Cloud To Co-Location
Everybody wants to build a platform, hence the name of this publication. …
Everybody wants to build a platform, hence the name of this publication. …
For a decade and a half, Nvidia has been pushed its way into the datacenter, making its presence felt with its GPU accelerators that are designed to improve the performance and power efficiency of servers in HPC and enterprise compute environments and also expanding the opportunities for running highly parallel workloads. …
It is a good thing for Nvidia that most of the hyperscalers in the world – or at least the ones that matter – also have substantial public cloud businesses. …
As supercomputer centers have long known and as hyperscalers and cloud builders eventually learned, the larger the cluster, the greater the chance that one of the many components in the system will fail at any particular time. …
If the world was not a complex place, and if all machine learning training looked more or less the same, then there would only be one accelerator to goose training workloads. …
In a world where GPUs have tens of billions of transistors and chip manufacturing techniques are costly and yields are particularly tough because of the largesse of these devices, every chip that comes of out the foundry is sacred. …
Quantum simulators are a strange breed of systems for purposes that might seem a bit nebulous from the outset. …
There has been talk and cajoling and rumor for years that GPU juggernaut Nvidia would jump into the Arm server CPU chip arena once again and actually deliver a product that has unique differentiation and a compelling value proposition, particularly for hybrid CPU-GPU compute complexes. …
Many of us have been wracking our brains why Nvidia would spend a fortune – a whopping $40 billion – to acquire Arm Holdings, a chip architecture licensing company that generates on the order of $2 billion in sales – since the deal was rumored back in July 2020. …
SPONSORED Mention GPUs these days, and you will naturally think about how they can accelerate the most challenging AI and machine learning workloads as well as how they are used in gaming platforms. …
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