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The NVIDIA A100 Tensor Core GPU delivers unprecedented acceleration at every scale for AI, data analytics, and high-performance computing (HPC) to tackle the world’s toughest computing challenges.
The NVIDIA A100 Tensor Core GPU delivers unprecedented acceleration at every scale for AI, data analytics, and high-performance computing (HPC) to tackle the world’s toughest computing challenges. As the engine of the NVIDIA data center platform, A100 can efficiently scale to thousands of GPUs or, with NVIDIA Multi-Instance GPU (MIG) technology, be partitioned into seven GPU instances to accelerate workloads of all sizes. And third-generation Tensor Cores accelerate every precision for diverse workloads, speeding time to insight and time to market.
A100 is part of the complete NVIDIA data center solution that incorporates building blocks across hardware, networking, software, libraries, and optimized AI models and applications from NGC™. Representing the most powerful end-to-end AI and HPC platform for data centers, it allows researchers to deliver real-world results and deploy solutions into production at scale.
Data scientists need to be able to analyze, visualize, and turn massive datasets into insights. But scale-out solutions are often bogged down by datasets scattered across multiple servers.
Accelerated servers with A100 provide the needed compute power—along with massive memory, over 2 TB/sec of memory bandwidth, and scalability with NVIDIA® NVLink® and NVSwitch™, —to tackle these workloads. Combined with InfiniBand, NVIDIA Magnum IO™ and the RAPIDS™ suite of open-source libraries, including the RAPIDS Accelerator for Apache Spark for GPU-accelerated data analytics, the NVIDIA data center platform accelerates these huge workloads at unprecedented levels of performance and efficiency.
On a big data analytics benchmark, A100 80GB delivered insights with 83X higher throughput than CPUs and a 2X increase over A100 40GB, making it ideally suited for emerging workloads with exploding dataset sizes.
| NVIDIA A100 for PCIe | |
| GPU Architecture | NVIDIA Ampere |
| Peak FP64 | 9.7 TF |
| Peak FP64 Tensor Core | 19.5 TF |
| Peak FP32 | 19.5 TF |
| Peak TF32 Tensor Core | 156 TF | 312 TF* |
| Peak BFLOAT16 Tensor Core | 312 TF | 624 TF* |
| Peak FP16 Tensor Core | 312 TF | 624 TF* |
| Peak INT8 Tensor Core | 624 TOPS | 1,248 TOPS* |
| Peak INT4 Tensor Core | 1,248 TOPS | 2,496 TOPS* |
| GPU Memory | 40GB |
| GPU Memory Bandwidth | 1,555 GB/s |
| Interconnect | PCIe Gen4 64 GB/s |
| Multi-instance GPUs | Various instance sizes with up to 7MIGs @5GB |
| Form Factor | PCIe |
| Max TDP Power | 250W |
| Delivered Performance of Top Apps | 90% |
The flagship product of the NVIDIA data center platform for deep learning, HPC, and data analytics.
The platform accelerates over 700 HPC applications and every major deep learning framework. It’s available everywhere, from desktops to servers to cloud services, delivering both dramatic performance gains and cost-saving opportunities.