Description

The NVIDIA HGX B200 NVL8 is an enterprise-class accelerated computing platform designed to provide extreme GPU density and tightly coupled GPU-to-GPU communication for demanding artificial intelligence and high-performance computing workloads.

At the heart of the platform are eight NVIDIA B200 Blackwell GPUs in SXM form factor. Each B200 provides 180GB of HBM3e memory, resulting in a combined GPU memory capacity of approximately 1.44TB across the eight-GPU platform.

The eight GPUs provide up to 64TB/s of aggregate GPU memory bandwidth, enabling extremely high-throughput processing of large AI models, training datasets, scientific simulations, and other memory-intensive workloads.

A key feature of HGX B200 NVL8 is its high-speed GPU interconnect. The platform uses fifth-generation NVIDIA NVLink together with NVIDIA NVLink Switch technology, providing up to 1.8TB/s of GPU-to-GPU bandwidth and approximately 14.4TB/s of total NVLink bandwidth across the eight-GPU platform. This high-bandwidth fabric allows the GPUs to exchange model parameters, activations, gradients, and other data efficiently during distributed workloads.

The HGX B200 platform delivers up to 144 PFLOPS of FP4 Tensor Core AI performance and up to 72 PFLOPS of FP8 Tensor Core performance, with additional support for FP16/BF16, TF32, FP32, and FP64 workloads.

Unlike a conventional standalone graphics card, HGX B200 is an 8-GPU server platform/baseboard architecture. The exact CPU configuration, system memory, storage, networking adapters, chassis, power supplies, cooling solution, and management controller are determined by the OEM or NVIDIA-certified server manufacturer implementing the HGX B200 platform.

For networking, NVIDIA’s reference architecture supports high-speed 400Gb/s networking, including NVIDIA BlueField-3 SuperNICs and DPUs. The architecture is designed for scalable AI clusters, enabling HGX B200 systems to be interconnected through high-performance InfiniBand or Ethernet infrastructure.

HGX B200 is therefore particularly suited to organizations building AI factories, GPU clusters, NVIDIA-Certified systems, enterprise AI infrastructure, scientific computing platforms, and large-scale HPC environments.

Complete Technical Specification

Applications

Artificial Intelligence & Machine Learning

• Large Language Model training
• LLM inference
• Generative AI
• Transformer workloads
• Multimodal AI
• Computer vision
• Speech and language processing
• Recommendation systems
• AI model fine-tuning

High-Performance Computing

HGX B200 NVL8 provides the GPU density and interconnect performance required for:

• Scientific simulations
• Computational fluid dynamics
• Molecular modeling
• Weather and climate research
• Genomics
• Financial modeling
• Engineering simulations
• Physics and research workloads

Enterprise AI

Suitable for enterprise AI infrastructure requiring high GPU memory capacity and high-speed GPU-to-GPU communication.

AI Training Clusters

Multiple HGX B200 systems can be combined into larger GPU clusters using high-speed InfiniBand or Ethernet networking for distributed AI training and inference.

Data Analytics

The platform can accelerate large-scale analytics, machine learning pipelines, graph analytics, and data-intensive computational workloads.

Compatibility

The HGX B200 NVL8 is not a standalone PCIe graphics card. It is an 8-GPU server platform designed to be integrated by OEMs and NVIDIA-certified system manufacturers.

It is compatible with appropriately designed:

• NVIDIA HGX B200 server platforms
• NVIDIA-Certified systems
• x86 server CPU platforms
• NVIDIA BlueField-3 networking infrastructure
• 400Gb/s InfiniBand networks
• 400GbE Ethernet networks
• NVIDIA AI Enterprise
• CUDA
• NVIDIA NGC software ecosystem
• NVIDIA AI software stack
• High-performance NVMe storage
• Data-center rack and cooling infrastructure

Exact CPU, DIMM, storage, networking, chassis, PSU, and cooling compatibility depends on the specific OEM implementation.

Key Benefits

🚀 8-GPU Blackwell Architecture

Eight B200 GPUs provide a highly dense accelerated-computing platform for demanding AI and HPC workloads.

🧠 1.44TB HBM3e GPU Memory

The eight GPUs provide a combined 1.44TB of high-bandwidth HBM3e memory, enabling large models and data-intensive workloads to remain close to GPU compute resources.

⚡ Up to 64TB/s GPU Memory Bandwidth

The platform provides exceptional aggregate memory throughput for memory-intensive AI and HPC applications.

🔗 High-Speed NVLink Fabric

Fifth-generation NVLink and NVLink Switch technology provides up to 1.8TB/s GPU-to-GPU bandwidth, helping minimize communication bottlenecks between GPUs.

📊 144 PFLOPS FP4 AI Performance

The eight-GPU platform can deliver up to 144 PFLOPS of FP4 Tensor Core performance, targeting modern generative AI and accelerated inference workloads.

🌐 400Gb/s-Class Networking

NVIDIA reference architectures support high-speed 400Gb/s networking for scalable multi-node AI clusters.

🏢 Enterprise-Scale Infrastructure

HGX B200 is designed for professional data centers, AI factories, HPC environments, cloud infrastructure, and large-scale research systems.

🔧 OEM Flexibility

Because HGX B200 is a platform rather than a fixed server, system manufacturers can configure CPU, memory, storage, networking, cooling, and chassis components for specific deployment requirements.

SEO Title

NVIDIA HGX B200 NVL8 – 8× B200 Blackwell GPUs, 1.44TB HBM3e, 64TB/s AI Platform