NVIDIA A100 80GB

NVIDIA A100 80GB GPU accelerator for AI and data centres

The NVIDIA A100 Tensor Core GPU delivers exceptional computing performance for the most demanding data centre environments. Designed based on the NVIDIA Ampere architecture, the A100 chip is the foundation of modern computing platforms used in artificial intelligence, data analytics and high performance computing (HPC).

The NVIDIA A100 80GB model offers a huge GPU memory space and one of the highest memory bandwidths available in server accelerators. This enables it to handle the most demanding AI models, huge datasets and complex computational simulations. The GPU delivers up to 20 times higher performance compared to previous generations of data centre accelerators.

NVIDIA Ampere and Tensor Cores Architecture

The A100GPU features 6912 CUDA cores and 432 Tensor cores to accelerate matrix operations used in machine learning and deep learning. This enables the accelerator to excel at both training AI models and inferencing them in production environments.

Additionally, 80 GB of HBM2e memory with ECC error correction and a bandwidth in excess of 1.9 TB/s enable the processing of massive data sets and very large artificial intelligence models.

MIG - multiple GPU instances in a single accelerator

One of the key NVIDIA A100 technologies is Multi-Instance GPU (MIG), which allows a single accelerator to be split into up to seven independent GPU instances. Each instance can handle separate computing workloads, ensuring resource isolation and maximum hardware utilisation.

With MIG technology, GPUs can be used efficiently in cloud environments, AI platforms and data centres supporting multiple concurrent workloads.

Accelerator for Modern AI Systems

The NVIDIA A100 is widely used in artificial intelligence infrastructures where massive computing power and high memory bandwidth are required. This accelerator is used for, among other things:

• training large language models LLM (Large Language Models)
• multimodal systems VLM (Vision Language Models)
• platform Retrieval Augmented Generation (RAG)
• analysis of of large datasets
• inference of AI models in production environments
• recommendation and analytics systems

With high performance Tensor Cores and massive memory bandwidth, NVIDIA A100 enables significant reductions in AI model training time and acceleration in production applications.

Data centre and HPC applications

The NVIDIA A100 accelerator is designed to work in high-density computing server systems. Passive cooling and a PCIe 4.0 x16 interface enable integration into server platforms and GPU clusters used in:

• high performance computing (HPC)
• scientific simulation
• data centre data analysis
• artificial intelligence systems
• enterprise AI platforms
• cloud GPU infrastructure