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DriveNets enhances its Network Cloud-AI platform with multi-tenancy and multi-site features for GPU clusters spanning up to ...
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AMD talks 1.2 million GPU AI supercomputer to compete with Nvidia — 30X more GPUs than world's fastest supercomputerDemand for more computing power in the data center is growing at a staggering pace, and AMD has revealed that it has had serious inquiries to build single AI clusters packing a whopping 1.2 ...
Intel on Thursday announced that one of its three newly revealed Xeon 6 processors designed to “boost GPU performance across ...
The team at xAI, partnering with Supermicro and NVIDIA, is building the largest liquid-cooled GPU cluster deployment in the world. It’s a massive AI supercomputer that encompasses over 100,000 ...
Oracle and xAI love to flex the size of their GPU clusters. It's getting hard to tell who has the most supercomputing power as more firms claim the top spot. The real numbers are competitive intel ...
As an Amazon Associate, we earn from qualifying purchases. TweakTown may also earn commissions from other affiliate partners at no extra cost to you. TL;DR: TensorWave, a cloud service provider ...
today announced the general availability of its new Private GPU Servers and GPU Clusters, delivering powerful, production-ready infrastructure for artificial intelligence (AI), machine learning ...
When building large-scale AI GPU clusters for training or inference, the backend network should be high-performance, lossless, and predictable to ensure maximum GPU utilization. This is hard to ...
She says partnerships like these go a long way, especially when you have a dedicated cluster — that's particularly important for training AI models. "For GPU and AI workloads, they're more like ...
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