Nvidia To Power More Supercomputers As AI Frenzy Kicks In

Computex Not content with unveiling its DGX GH200 AI supercomputer at Computex, Nvidia said it is involved in several other supercomputers targeting AI processing, including one in Israel and two based in Taiwan.

As part of the announcement surrounding its Nvidia Spectrum-X Networking Platform, the GPU giant said it intended to build a “blueprint and testbed” system to showcase the technology. This will be known as Israel-1, and described as a hyperscale generative AI supercomputer, which will be deployed into its Israeli datacenter.

Unlike some other systems disclosed, this one will be based on Nvidia’s existing HGX H100 technology, BlueField-3 DPUs, and built using Dell PowerEdge XE9680 servers.

Spectrum-X is itself based on the pairing of Nvidia’s Spectrum-4 Ethernet switch with BlueField-3 DPUs. The Spectrum-4 is claimed to provide 64 ports of 800Gbps Ethernet, while those DPUs use RDMA over Converged Ethernet (RoCE) to boost data transfers.

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According to The Times of Israel, this “blueprint and testbed” system is expected to be capable of a performance of up to 8 exaflops, which would make it one of the world’s fastest AI supercomputers when it comes online some time towards the end of 2023.

“Spectrum-X is a new class of Ethernet networking that removes barriers for next-generation AI workloads that have the potential to transform entire industries,” Nvidia’s senior vice president of networking Gilad Shainer said in a statement.

Taipei-1 will likewise be built and operated by Nvidia and based around its H100 technology. In this case it will comprise 64 DGX H100 systems, plus 64 OVX systems. Each DGX H100 packs in 8 of the H100 GPUs, based on Nvidia's Hopper architecture, while the OVX features L40 GPUs based on the Ada Lovelace architecture.

Also based in Taiwan will be Taiwania 4, which is set to be built by Asus and located at the National Center for High-Performance Computing (NCHC). This will be based on Nvidia’s Grace CPU Superchip, which combines two Arm-based processor dies for a total of 144 compute cores. It is understood that Taiwania 4 will comprise 44 nodes, linked using Nvidia’s Quantum-2 InfiniBand interconnect.

Meanwhile, Asus is also planning to offer AI servers based on Nvidia’s DGX hardware. According to Bloomberg, the AFS Appliance will be offered under a subscription-based model, but installed on the customer’s own premises. This is to allow organizations to take advantage of generative AI modesl while keeping control over their data, rather than building applications in the cloud.

However, this comes at a price: the AFS Appliance with Nvidia DGX will likely cost around $10,000 a month, although Asus told Bloomberg it aims to have 30 to 50 enterprise customers in Taiwan and expand internationally by the end of this year.

This news follows the announcement yesterday of the DGX GH200 AI supercomputer, featuring 256 Grace-Hopper superchips stitched together with Nvidia’s NVLink technology, plus a reference architecture for servers using its accelerators known as MGX.

All of this frenzy of interest around AI, especially the latest generation of large language models (LLMs) and generative AIs has helped fuel demand for Nvidia’s products, with the result that the GPU-flinger has now hit a trillion-dollar market value, according to Reuters.

This turnaround follows news earlier this month that CEO Jen-Hsun Huang saw his remuneration fall 10 percent because of missed financial targets for its fiscal year 2023 that ended in January. ®