Gigabyte Announces HPC Systems Powered by NVIDIA A100 Tensor Core GPUs
Summary
Scientists, researchers and engineers are committed to using GPU-accelerated HPC and artificial intelligence (AI) to meet the important challenges of the current world. A single A100 Tensor Core GPU can be partitioned into multiple instances performing lightweight operations, which can improve the resource usage required to meet different scale workloads, thereby accelerating customer insight and shortening product/service launch time. The A100 Tensor Core GPU is also designed to accelerate all major deep learning frameworks and more than 700 HPC applications, while the NGC catalog of container software can help developers more easily start and run programs. By providing high-performance motherboards and NVIDIA GPUs, GIGABYTE has become a leading brand of computer hardware and is known for its excellent product performance and stability. Through years of experience accumulation and design capabilities, GIGABYTE’s platform can support the maximum number of GPUs in 2U and 4U spaces.
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