Inspur recently announced an across-the-board upgrade of its AI servers in order to enable full support for the new NVIDIA A100 Tensor Core GPU. Each of the five servers will address multiple AI computing scenarios and support 8 to 16 of the latest NVIDIA A100 Tensor Core GPUs. The third generation of Tensor Cores in A100 GPUs are faster, more flexible, and enable these servers to offer AI computing performance of up to 40 PetaOPS. With next-generation NVIDIA NVSwitch fabric technology, the GPU-to-GPU P2P communications speed has been doubled to reach 600 GB/sec.
Inspur offers a portfolio of cloud and big data services, as well as cloud data center solutions. The vendor’s data storage capabilities are available via Active Storage and the infrastructure SDS (AS13000) platform. Inspur AS13000 is delivered as a hardware appliance, but a software-only solution is also available. The majority of Inspur’s customers are in China, with the government and transportation and logistics industries accounting for more than half its client base.
The increased computing performance and updated GPU-to-GPU bandwidth will bring AI computing efficiency to enable AI training for larger data scales and more complicated models. Additionally, the NVIDIA A100 GPUS have 40GB of HBM2 memory with 70 percent higher memory bandwidth at 1.6TB/sec to support larger deep learning models for training. Every AI server will offer hardware design for several application scenarios.
In a press statement, Liu Jun, GM of AI and HPC at Inspur said, “Inspur was swift to unveil upgrades to its AI servers based on the NVIDIA Ampere architecture as it allows global AI users a broad array of computing platforms optimized for various applications. With this upgrade, Inspur offers the most comprehensive AI server portfolio in the industry, better tackling the computing challenges created by data surges and complex modeling. We expect that the upgrade will significantly boost AI technology innovation and applications.”
Learn more about Inspur.
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