NVIDIA A100 PCIe 40GB HBM2

The NVIDIA A100 PCIe 40GB HBM2 is a data center GPU built on the NVIDIA Ampere architecture, delivering a substantial generational leap in compute performance for AI training, inference, and high-performance computing workloads. The Ampere architecture introduces third-generation Tensor Cores with TF32 precision, enabling up to 20x the performance of the previous Volta generation for AI workloads without requiring any code changes. The PCIe form factor allows broad compatibility with standard server platforms, making it accessible for enterprises that do not require NVLink-based multi-GPU scaling.

With 40GB of HBM2 high-bandwidth memory delivering 1,555 GB/s of memory bandwidth, the A100 PCIe 40GB handles large model training and complex simulation workloads that demand both capacity and throughput. The GPU supports multi-instance GPU (MIG) technology, which allows a single A100 to be partitioned into up to seven independent GPU instances, each with dedicated compute, memory, and bandwidth resources. This capability dramatically improves utilization efficiency in shared infrastructure environments such as cloud platforms and enterprise AI clusters.

The NVIDIA A100 PCIe 40GB HBM2 (manufacturer part number 900-21001-0000-030) is purpose-built for enterprise data centers and research institutions requiring reliable, sustained performance across diverse AI and scientific computing workloads. It supports NVIDIA NVLink for peer-to-peer GPU communication when paired in compatible systems, and is fully supported under NVIDIA's enterprise software ecosystem including CUDA, cuDNN, TensorRT, and the NVIDIA AI Enterprise software suite, enabling organizations across the UAE, GCC, EMEA, and APAC regions to accelerate their digital transformation initiatives.

Ideal for

• Large-scale deep learning model training for computer vision, natural language processing, and recommendation systems in enterprise AI platforms
• High-throughput AI inference serving with MIG-enabled multi-tenant GPU partitioning on shared data center infrastructure
• Computational fluid dynamics, molecular dynamics, and finite element analysis simulations for scientific research and engineering organizations
• Data analytics acceleration and GPU-accelerated database query processing for business intelligence and real-time analytics pipelines
• Medical imaging analysis and genomics workloads in healthcare and life sciences environments requiring high-precision compute
• Government and research institution HPC cluster deployments requiring PCIe-compatible, rack-mountable GPU compute nodes

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.