Nvidia unveiled its next-generation AI supercomputer, the Nvidia DGX SuperPOD, powered by its new Nvidia GB200 Grace Blackwell Superchip. The new system is designed for processing trillion-parameter models with constant uptime for superscale generative AI training and inference workloads.
Connected through the fifth generation Nvidia NVLink interconnects, the GB200 Superchips in a DGX GB200 system operate cohesively as one supercomputer. The interconnect technology enables high-speed data transfer between the CPUs and GPUs, facilitating rapid communication and data processing essential for handling large-scale AI models.
The SuperPOD can scale to tens of thousands of GB200 Superchips connected via NVIDIA Quantum InfiniBand, offering a massive, shared memory space for next-generation AI models. Nvidia’s DGX SuperPOD is a complete, data-center-scale AI supercomputer that integrates with high-performance storage solutions. It features intelligent predictive-management capabilities for monitoring and optimizing system performance to ensure constant uptime and efficiency.
Google also plans to integrate Nvidia GB200 NVL72 systems into its cloud infrastructure. Google said that it will make the systems available through DGX Cloud, extending its current Nvidia H100-based DGX Cloud offering. The SuperPOD's impressive specifications, including its 11.5 exaFLOPS of AI supercomputing capability at FP4 precision and its advanced liquid-cooled rack-scale architecture, clearly demonstrate Nvidia’s ability to deliver high-performance, energy-efficient solutions for complex AI workloads.