Supermicro has deployed an additional cluster at Lawrence Livermore National Laboratory (LLNL) to augment existing computing capabilities available for national security and to help discover therapeutics for SARS-CoV-2, the virus that causes COVID-19.
Supermicro is best known to most for server hardware. But over the last few years, the company has dipped its toes in the gaming realm. We’ve seen X99 and X299, as well as Z170 through Z390-based motherboards from the company, culminating with the C9Z490-PGW we have for review today.
The HPC world, particularly in the U.S. is waiting for the next series of transitions to far larger machines with exascale capabilities. By this time next year, the bi-annual ranking of the top 500 most powerful systems will be refreshed at the top as Frontier, El Capitan, Aurora and other DoE supers come online.
Learn about the benefits of using NVIDIA NGC and NVIDIA TensorRT to get the best inference performance using Supermicro systems powered by NVIDIA GPUs. This white paper also shows how to set up NGC on a Supermicro server and how to use TensorRT for inference.
To accelerate the process of obtaining insight from mountains of Big Data, workloads such as those of AI, Machine Learning, Deep Learning, and High-Performance Computing require a modern infrastructure with extreme performance in compute, storage, and networking resources. Supermicro has teamed with WEKAIO to create a solution that addresses these needs and can help you gain the insight that you need to gain a competitive advantage, deliver customer value, and grow your business.
A new high performance computing (HPC) cluster has been installed at Lawrence Livermore National Laboratory (LLNL) in California.
Not every HPC or analytics workload – meaning an algorithmic solver and the data that it chews on – fits nicely in a 128 GB or 256 GB or even a 512 GB memory space, and sometimes the dataset is quite large and runs best with a larger memory space rather than carving it up into smaller pieces and distributing across nodes with the same amount of raw compute.
