![]() Selecting the best GPU for deep learning.Related content - read our detailed guides about: PCIe version-40 GB GPU memory, 1,555 GB/s memory bandwidth, up to 7 MIGs with 5 GB each, max power 250 W.NVLink version-40 or 80 GB GPU memory, 1,555 or 2,039 GB/s memory bandwidth, up to 7 MIGs with 5 GB each (for A100 with 40 GB memory) or 10 GB each (for A100 with 80 GB memory), max power 400 W.Memory and GPU specifications are different for each version: (*) A100 supports double performance for workloads with sparsity. Peak Performance for INT4-1,248 TOPS on Tensor Cores*.Peak performance for INT8-624 TOPS on Tensor Cores*.Peak performance for Tensor Float 32-156 TF*.Peak performance for FP16, BFLOAT16-312 TF for Tensor Cores*.Peak performance for FP64-9.7 TF, 19.5 TF for Tensor Cores.NVIDIA A100 for PCIe-based on traditional PCIe slots, letting you deploy the GPU on a larger variety of servers.īoth versions provide the following performance capabilities:.NVIDIA A100 for NVLink-based on optimized NVIDIA networking infrastructure for highest performance-4/8 SXM on NVIDIA HGX™ A100.What Are the NVIDIA A100 System Specifications? This is part of an extensive series of guides about AI Technology. 3rd Generation NVLink and NVSwitch-upgraded network interconnect enabling GPU-to-GPU bandwidth of 600 GB/s.Special support for sparse models-for sparse matrix calculations (tensors with many zeros), provides a 2x compared to the previous generation.MIG Technology-each instance offers up to 7 isolated Multi Instance GPUs (MIG), each with 10 GB of RAM.HBM2e GPU memory-doubles memory capacity compared to the previous generation, with memory bandwidth of over 2TB per second.3rd generation Tensor Core-new format TF32, 2.5x FP64 for HPC workloads, 20x INT8 for AI inference, and support for BF16 data format.The A100 comes with either 40GB or 80GB of memory, and has two major editions-one based on NVIDIA’s high performance NVLink network infrastructure, and one based on traditional PCIe. A100 is the world’s fastest deep learning GPU designed and optimized for deep learning workloads. It is a dual slot 10.5-inch PCI Express Gen4 card, based on the Ampere GA100 GPU. The NVIDIA A100 is a data-center-grade graphical processing unit (GPU), part of larger NVIDIA solution that allows organizations to build large-scale machine learning infrastructure.
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