Powered by NVIDIA Tesla V100 GPUs and NVSwitch

World’s Most Powerful Accelerated Server Platform for Deep Learning, Machine Learning, and HPC

We’re at the dawn of a new age of intelligence, where deep learning, machine learning and high performance computing (HPC) are transforming our world. From autonomous vehicles, and optimizing retail logistics, to global climate simulations, new challenges are emerging whose solutions demand enormous computing resources.

NVIDIA HGX-2 is the world’s most powerful accelerated scale-up server platform. Designed with mixed-precision computing, it accelerates every workload to solve these massive challenges. The HGX-2 platform was used to win MLPerf, the first industry-wide AI benchmark, delivering the highest single-node performance and validating it as the world’s most powerful, versatile, and scalable computing platform.

Enables “the World’s Largest GPU”

Accelerated by 16 NVIDIA® Tesla® V100 GPUs and NVIDIA NVSwitch, HGX-2 has the unprecedented compute power, bandwidth, and memory topology to train these models faster and more efficiently. The 16 Tesla V100 GPUs work as a single unified 2-petaFLOP accelerator with half a terabyte (TB) of total GPU memory, allowing it to handle the most computationally intensive workloads and enable “the world’s largest GPU.”

Enables the World’s Largest GPU
AI Training: HGX-2 Replaces 300 CPU-Only Server Nodes

Driving Next-Generation AI to Faster Performance

AI models are exploding in complexity and require large memory, multiple GPUs, and an extremely fast connection between the GPUs to work. With NVSwitch connecting all GPUs and unified memory, HGX-2 provides the power to handle these new models for faster training of advanced AI. A single HGX-2 replaces 300 CPU-powered servers, saving significant cost, space, and energy in the data center.

HPC: HGX-2 Replaces 60 CPU-Only Server Nodes

The Highest-Performing HPC Supernode

HPC applications require strong server nodes with the computing power to perform a massive number of calculations per second. Increasing the compute density of each node dramatically reduces the number of servers required, resulting in huge savings in cost, power, and space consumed in the data center. For HPC simulations, high-dimension matrix multiplication requires a processor to fetch data from many neighbors to facilitate computation, making GPUs connected by NVSwitch ideal. A single HGX-2 server replaces 60 CPU-only servers.

NVSwitch for Full-Bandwidth Computing

NVSwitch enables every GPU to communicate with every other GPU at full bandwidth of 2.4TB/sec to solve the largest of AI and HPC problems. Every GPU has full access to 0.5TB of aggregate HBM2 memory to handle the most massive of datasets. By enabling a unified server node, NVSwitch dramatically accelerates complex AI and HPC applications.

NVSwitch for Full-Bandwidth Computing


Performance 1 petaFLOP tensor operations
125 teraFLOPS single-precision
62 teraFLOPS double-precision
2 petaFLOPS tensor operations
250 teraFLOPS single-precision
125 teraFLOPS double-precision
GPUs 8x NVIDIA Tesla V100 16x NVIDIA Tesla V100
GPU Memory 256GB total 512GB total
NVIDIA CUDA® Cores 40,960 81,920
NVIDIA Tensor Cores 5,120 10,240
Communication Channel Hybrid cube mesh powered by NVLink 300GB/s bisection bandwidth NVSwitch powered by NVLink 2.4TB/s bisection bandwidth

HGX-1 Reference Architecture

Powered by NVIDIA Tesla GPUs and NVLink

NVIDIA HGX-1 is a reference architecture that standardized the design of data centers accelerating AI in the cloud. Based on eight Tesla SXM2 V100 boards, a hybrid cube mesh topology for scalability, and 1 petaFLOP of compute power, its modular design works seamlessly in hyperscale data centers and delivers a quick, simple path to AI.

Empowering the Data Center Ecosystem

NVIDIA partners with the world’s leading manufacturers to rapidly advance AI cloud computing. NVIDIA provides HGX-2 GPU baseboards, design guidelines, and early access to GPU computing technologies for partners to integrate into servers and deliver at scale to their data center ecosystems.

Empowering the Data Center Ecosystem

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