Sizzling on the heels of Nvidia’s newest GPU launch, Intel has teased the Gaudi3 processor — an AI accelerator with in-built reminiscence to rival the H100 – among the finest graphics playing cards.
The 5nm Gaudi3, the successor to the 7nm deep studying coaching processor Gaudi2, has four-times mind floating 16 (BF16) energy, twice the networking energy and 1.5-times the bandwidth of high-bandwidth reminiscence, based on Serve the Dwelling.
The element, which is ready to launch in 2024, will probably be fitted with as much as 128GB HBM3e RAM, the publication estimates, which might trounce its predecessor’s 96GB HBM2e on-board reminiscence and result in severe efficiency positive factors in AI studying and coaching.
New Intel chips to rival Nvidia
It is successfully Intel’s reply to the GH200 superchip, which is fitted with 141GB of HBM3e reminiscence that accompanies Nvidia’s newest GPU. With Gaudi2 in the identical ballpark because the H100 – it is probably Gaudi3 will boast efficiency ranges in the identical area because the H200.
Intel teased the capabilities of its Gaudi3 chip alongside the Intel Max Collection 1550 graphics card, which is fitted into the newly on-line Aurora supercomputer. That is the second ever exascale supercomputer, and can probably be probably the most highly effective of all time as soon as it is totally tuned.
It is broadly anticipated to outpace the Frontier supercomputer as soon as it is totally on top of things and attain efficiency ranges of as much as two exaFLOPs — roughly two billion, billion calculations per second.
That is vastly extra highly effective at dealing with AI coaching workloads than comparable methods fitted with AMD and Nvidia GPUs, based on the corporate.
The Intel Max 1550 GPU registered a rating of 48.4 samples per second when put by way of the CosmicTagger single GPU coaching throughput benchmark, with AMD’s MI250 and Nvidia’s A100 scoring 31.2 and 14.7 respectively.
That is comporable to figures registered within the CosmicTagger single node coaching benchmark, with Intel’s GPU scoring 280 samples per second vs 120 and 54.9 for AMD and Nvidia’s GPUs respectively.
Though there aren’t comparable benchmarking figures accessible for Nvidia’s H100 or H200 GPUs, these outcomes make the Intel Max 1550 a greater than competent candidate to energy methods that run AI coaching and inference workloads.
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