Nvidia has introduced particulars of a brand new networking platform designed particularly with generative AI workloads in thoughts, promising lightning-speed lossless networking.

The corporate’s new Spectrum-X expertise is constructed utilizing the Spectrum-Four Ethernet swap and BlueField-Three DPU, and guarantees efficiency and energy effectivity will increase of as a lot as 1.7x.

In a press launch, the corporate stated: “The supply of end-to-end capabilities reduces run-times of large transformer-based generative AI fashions,” which in flip permits firms to function and make choices extra shortly, unlocking cost-saving potential.

Spectrum-X Ethernet

Nvidia’s Networking Senior VP, Gilad Shainer, stated: “Spectrum-X is a brand new class of Ethernet networking that removes obstacles for next-generation AI workloads which have the potential to rework complete industries.”

Its key element, the Spectrum-Four Ethernet swap, is able to 51 Tb/sec speeds. What this implies for shoppers is that, at the side of BlueField-Three DPUs and Nvidia LinkX optics, a 400 Gigabit Ethernet community is enabled.

The corporate seemed to offer an perception into the highly effective networking capabilities that AI supercomputers can now faucet into in real-world instances:

“Nvidia Spectrum-X permits unprecedented scale of 256 200Gb/s ports related by a single swap, or 16,000 ports in a two-tier leaf-spine topology to help the expansion and growth of AI clouds whereas sustaining excessive ranges of efficiency and minimizing community latency.”

Elsewhere, Nvidia CEO Jensen Huang held up the Spectrum-Four swap chip throughout his presentation on the Computex expo’s opening speech, sharing extra perception into its design. The hundred billion transistors on a 90×90 mm die attracts round 500 watts, he stated.

Already, Nvidia is testing its Spectrum-X in its Israeli knowledge heart within the Israel 1, a hyperscale generative AI supercomputer working Dell PowerEdge XE9680 servers primarily based on the Nvidia HGX H100 eight-GPU platform.

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