Balancing Performance, Capacity, And Budget For AI Training
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. …
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. …
Having to install a new kind of systems software stack and create applications is hard enough. …
Global consulting and services giant Deloitte has bold ambitions to lead in enterprise AI transitions, starting with a five-year, billion-dollar investment in everything from vertical-specific technology acquisitions to building personnel and capabilities ranks. …
AMD has been on such a run with its future server CPUs and server GPUs in the supercomputer market, taking down big deals for big machines coming later this year and out into 2023, that we might forget sometimes that there are many more deals to be done and that neither Intel nor Nvidia are inactive when it comes to trying to get their compute engines into upper echelon machines. …
We have a saying around here at The Next Platform, and it is this: Money is not the point of the game. …
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