Unprecedented Acceleration at Every Scale

The Nvidia A100 Tensor Core GPU revolutionizes data center performance for AI, data analytics, and high-performance computing (HPC). It outperforms the previous Nvidia Volta generation by 20 times, serving as the centerpiece of Nvidia’s data center platform. Its versatility shines with Multi-Instance GPU (MIG), allowing efficient scaling and partitioning into seven separate GPU instances to accommodate changing workload needs. Supporting diverse math precisions, A100 becomes a single accelerator for all workloads.
The latest A100 80GB version boasts double the GPU memory and a groundbreaking memory bandwidth of 2 terabytes per second (TB/s) significantly expediting solutions for large models and datasets. A vital part of the comprehensive NVIDIA data center solution, A100 integrates various components from hardware and networking to software and AI models from the NVIDIA NGC™ catalog. This end-to-end AI and HPC platform empower researchers to achieve tangible results and deploy scalable solutions for real-world applications.

NVIDIA Ampere Architecture In-Depth

This article delves into the A100 GPU’s internal workings and highlights key features of the Ampere architecture. NVIDIA’s GPUs play a pivotal role in compute-intensive tasks across modern cloud data centers, spanning AI deep learning training and inference, data-analytics, scientific computing, genomics, 5G devices, graphics rendering, cloud gaming, and more.
NVIDIA GPUs cater to a wide range of tasks, from scaling AI training and scientific computing to enhancing inference applications and powering real-time conversational AI.
They serve as vital computational engines driving the AI revolution, delivering significant speed boosts to AI training and inference workloads. Beyond AI, NVIDIA GPUs also accelerate diverse HPC and data analytics applications, enabling efficient data analysis, visualization, and insight generation. NVIDIA’s accelerated computing platforms play a central role in numerous rapidly expanding industries worldwide.

Groundbreaking Innovations


Whether using MIG to partition an A100 GPU into smaller instances, or NVLink to connect multiple GPUs to speed large-scale workloads, A100 can readily handle different-sized acceleration needs, from the smallest job to the biggest multi-node workload. A100’s versatility means IT managers can maximize the utility of every GPU in their data center, around the clock.


NVIDIA A100 delivers 312 teraFLOPS (TFLOPS) of deep learning performance. That’s 20X the Tensor floating-point operations per second (TOPS) for deep learning inference compared to NVIDIA Volta GPUs.


NVIDIA NVLink in A100 delivers 2X higher throughput compared to the previous generation. When combined with NVIDIA NVSwitch™, up to 16 A100 GPUs can be interconnected at up to 600 gigabytes per second (GB/sec), unlashing the highest application performance possible on a single server. NVLink is available A100 SXM GPUs via HGX A100 server boards and in PCIe GPUs via an NVLink Bridge for up to 2 GPUs.


An A100 GPU can be partitioned into as many as seven GPU instances, fully isolated at the hardware level with their own high-bandwidth memory, cache, and compute cores. MIG gives developers access to breakthrough acceleration for all their applications, and IT administrators can offer right-sized GPU acceleration for every job, optimizing utilization and expanding access to very user and application.


With up to 80 gigabytes of HBM2e, A100 delivers the world’s fastest, GPU memory bandwidth of over 2TB/s, as well a dynamic random-access memory (DRAM) utilization efficiency of 95%. A100 delivers 1.7X higher memory bandwidth over the previous generation.


AI networks have millions to billions of parameters. Not all of these parameters are needed for accurate predictions, and some can be converted to zeros, making the models “sparse” without compromising accuracy. Tensor Cores in A100 can provide up to 2X higher performance for sparse models. While the sparsity feature more readily benefits AI inference, it can also improve the performance of model training.

Optimized Software and Services for Enterprise

The NVIDIA A100 Tensor Core GPU is the flagship product of the NVIDIA data center platform for deep learning, HPC, and data analytics. The platform accelerates over 2,000 applications, including every major deep learning framework. A100 is available everywhere, from desktops to servers to cloud services, delivering both dramatic performance gains and cost-saving opportunities.
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