The NVIDIA A100 80GB Tensor Core GPU is a proven, data-center-grade accelerator built to power AI training & inference, HPC, and large-scale data analytics. Based on the NVIDIA Ampere architecture, the A100 combines massive parallel compute with 80GB of HBM2e memory and ultra-high bandwidth to keep large models and datasets moving fast—delivering strong throughput, better utilization, and faster time-to-results in enterprise and research environments.
Key Highlights
- 80GB HBM2e memory for large models, big batches, and memory-heavy workloads
- Up to 2 TB/s memory bandwidth to reduce bottlenecks and accelerate training, inference, and simulation
- Multi-Instance GPU (MIG): partition a single A100 into up to 7 isolated GPU instances for multi-tenant efficiency
- 3rd Gen Tensor Cores + structural sparsity for faster AI performance across common precisions
- Scale-up with NVLink (platform dependent) for multi-GPU training and large workloads
