NVIDIA A100: Powering the Modern Data Center with 20X higher performance
  • June 7, 2024 9:02 am
  • Ayush Rawal
  • 0

Unprecedented Acceleration of NVIDIA A100 at Every Scale

The NVIDIA A100 Tensor Core GPU is a game-changer in the world of high-performance computing (HPC), AI training, and data analytics. This powerhouse GPU, powered by the NVIDIA Ampere Architecture, is the engine of the NVIDIA data center platform.

The NVIDIA A100 Ampere Architectures Advantage

The A100 provides up to 20X higher performance over the prior generation. It can be partitioned into seven GPU instances to dynamically adjust to shifting demands. This flexibility makes the A100 a versatile tool for a variety of workloads. The NVIDIA Ampere architecture brings a new level of power and flexibility, making it a key advantage in the ever-evolving landscape of data center computing.

Memory and Bandwidth: NVIDIA A100 Limitless Game Changer Power

The A100 80GB debuts the world’s fastest memory bandwidth at over 2 terabytes per second (TB/s). This allows it to run the largest models and datasets, speeding time to solution. In the world of data centers, where speed and efficiency are paramount, the A100’s memory and bandwidth capabilities are a game changer.

NVIDIA Ampere Architecture

One A100 GPU can easily manage a variety of sized acceleration needs, from the smallest job to the largest multi-node workload, whether utilizing MIG to divide one A100 GPU into smaller instances or NVLink to connect many GPUs to expedite large-scale workloads. Because of the A100’s flexibility, IT managers can make the most of each GPU in their data center at all times.


Tensor Cores of the Third Genre


312 teraFLOPS (TFLOPS) of deep learning performance are provided by the NVIDIA A100. Compared to NVIDIA Volta GPUs, that’s 20X the Tensor tera operations per second (TOPS) for deep learning inference and 20X the Tensor floating-point operations per second (FLOPS) for deep learning training.

NVLink’s Next Generation

The NVIDIA NVLink in the A100 offers twice as much throughput as its predecessor. Up to 16 A100 GPUs can be linked at up to 600 gigabytes per second (GB/sec) when paired with NVIDIA NVSwitchTM, enabling the fastest application performance on a single server. NVLink can be accessed in PCIe GPUs with an NVLink Bridge, supporting up to two GPUs, and in A100 SXM GPUs through HGX A100 server boards.

High-Bandwidth Memory (HBM2E)

Equipped with up to 80 gigabytes of HBM2e, the A100 offers the fastest GPU memory bandwidth in the world, surpassing 2TB/s, along with a 95% usage efficiency of dynamic random-access memory (DRAM). 1.7 times more memory bandwidth is provided by the A100 than by the A100.

Enterprise-Ready Software for AI

The NVIDIA EGX™ platform includes optimized software that delivers accelerated computing across the infrastructure. With NVIDIA AI Enterprise, businesses can access an end-to-end, cloud-native suite of AI and data analytics software. This enterprise-ready software suite is designed to harness the power of AI, making it accessible and usable for businesses of all sizes.

The Most Powerful End-to-End AI and HPC Data Center Platform

The A100 is part of the complete NVIDIA data center solution. This solution incorporates building blocks across hardware, networking, software, libraries, and optimized AI models and applications from NGC™. It represents the most powerful end-to-end AI and HPC platform for data centers, providing a comprehensive solution for modern data center needs.

NVIDIA A100: Powering the Data with 20X Great performance

Deep Learning Training

The A100 Tensor Cores with Tensor Float (TF32) provide up to 20X higher performance over the NVIDIA Volta. When combined with NVIDIA® NVLink®, NVIDIA NVSwitch™, PCI Gen4, NVIDIA® InfiniBand®, and the NVIDIA Magnum IO™ SDK, it’s possible to scale to thousands of A100 GPUs. This sets a new benchmark in deep learning training, pushing the boundaries of what’s possible.

NVIDIA A100 Tensor Core GPU is a revolutionary product that is set to redefine the landscape of high-performance computing, AI training, and data analytics. Its unprecedented acceleration, flexibility, and enterprise-ready software make it an indispensable tool for modern data centers.