The NVIDIA A100 Tensor Core GPU is a powerful data center GPU designed to accelerate AI, data analytics, and high-performance computing (HPC) workloads. Built on the NVIDIA Ampere architecture, it delivers unprecedented performance, flexibility, and scalability across all AI and HPC tasks.
Key Features
- 80 GB HBM2e Memory: Ultra-fast memory with up to 2 TB/s bandwidth to support massive models and datasets.
- Multi-Instance GPU (MIG): Allows multiple networks to run simultaneously on a single A100 for maximum resource utilization and isolation.
- Tensor Core Acceleration: Supports mixed-precision computing (FP64, TF32, FP16, INT8) delivering up to 19.5 TFLOPS FP64 and 312 TFLOPS FP16 performance.
- PCIe and SXM Form Factors: Offers flexibility for diverse deployment environments with 250W–400W power options.
Target Applications
- Training and inference of large AI/ML models, including LLMs and GANs
- Data science workloads and analytics at scale
- High-performance computing simulations and scientific workloads
- Cloud-based GPU compute services and virtualized environments
Why Choose This GPU?
The A100 is a flagship GPU solution that delivers massive acceleration for diverse workloads—from AI model training to data analytics. With features like MIG, high memory bandwidth, and seamless compatibility with the NVIDIA software ecosystem (CUDA, TensorRT, RAPIDS), the A100 helps enterprises scale faster, process data more efficiently, and lower total cost of ownership.
