BlockBeats News, June 22nd, NVIDIA announced the launch of the Vera Rubin supercomputing platform, targeting the fields of scientific computing and high-performance computing (HPC). A single-rack system can provide over 7 Exaflops of AI compute power and 5 Petaflops of FP64 double-precision performance, officially described as "achieving TOP500-level supercomputing capability in a single rack."

The platform integrates the Rubin GPU and Vera CPU architecture, combined with technologies such as NVLink-C2C, ConnectX-9 SuperNIC, and BlueField-4 DPU, supporting the unified computing requirements of AI training, scientific simulation, and data-intensive research.

NVIDIA stated that Vera Rubin will be primarily applied to high-complexity scientific computing tasks such as climate modeling, computational fluid dynamics, quantum chemistry, and energy exploration, supporting an integrated workflow of "AI + Simulation + Data Analytics."

On the application front, institutions such as the Leibniz Supercomputing Center, the National Energy Research Scientific Computing Center (NERSC) of the U.S. Department of Energy, and Los Alamos National Laboratory have plans to adopt this platform to build the next-generation supercomputing systems.

In addition, vendors including Bull, Dell Technologies, HPE, and Supermicro will also launch high-density liquid-cooled rack-scale supercomputing solutions based on Vera Rubin. NVIDIA CEO Jensen Huang stated that this platform aims to integrate AI, simulation, and data processing into "new scientific tools," accelerating scientific discovery and industrial innovation.