NVIDIA HGX A100-8 GPU Baseboard 8 x A100 SXM4 40GB HBM2

The NVIDIA HGX A100 8-GPU Baseboard is a high-performance, enterprise-grade platform designed for the most demanding AI, machine learning, and high-performance computing (HPC) workloads. Featuring eight NVIDIA A100 Tensor Core GPUs (SXM4 form factor) with 40GB of HBM2 memory each, this system delivers a combined 320GB of high-bandwidth memory, optimized for seamless scalability and exceptional throughput.

The HGX A100 baseboard provides the foundation for AI supercomputers, enabling massive parallel processing, model training at scale, real-time inference, and advanced scientific simulations—all with superior energy efficiency and compute density

Key Features:

1. Powered by 8× NVIDIA A100 GPUs (SXM4)

• • Built on the Ampere architecture, each A100 delivers industry-leading performance for both AI training and inference.
  • 3rd Gen Tensor Cores support mixed-precision computing for unmatched speed and versatility.

2. Massive Unified Memory Pool
   • 320GB Total HBM2: 8 GPUs × 40GB HBM2, with high-bandwidth memory access for extreme AI model and dataset capacity.
   • Enables multi-instance GPU (MIG) for optimal workload partitioning and resource efficiency.

3. High-Speed GPU Interconnect
   • NVLink 3.0 and NVSwitch: Up to 600 GB/s GPU-to-GPU communication bandwidth.
   • Supports large model training across all 8 GPUs without PCIe bottlenecks.

4. Optimized for Modern Workloads
   • AI model training (LLMs, CV, NLP).
   • Deep learning inference at scale.
   • Scientific computing and simulations.
   • Virtualization and cloud-native AI services.

Applications:

1. Artificial Intelligence & Machine Learning

1. • Train and deploy large transformer-based models (e.g., GPT, BERT), computer vision systems, and generative AI workloads.

2. High-Performance Computing (HPC)

1. • Accelerate physics, fluid dynamics, genomics, molecular modeling, and weather simulations with precision and speed.

3. Data Analytics & Visualization

1. • Process and analyze massive datasets in real time; support high-fidelity rendering and digital twin visualization.

Why Choose NVIDIA HGX A100 (8×40GB)?

1. Enterprise-Grade Performance

1. • Unifies AI, HPC, and analytics with the raw power of 8 GPUs working as one high-bandwidth computing unit.

2. Scalable AI Supercomputing

1. • Integrated NVSwitch and NVLink provide a single unified GPU memory pool for maximum parallelism.

3. Flexible for Multi-Workload Environments

1. • Supports MIG, containerized workloads, and virtualized GPU instances in enterprise or academic clusters.