A new industry standard for AI cloud computing

Powered by NVIDIA Tesla GPUs and NVLINK

HGX-1 Hyperscale GPU Accelerator for AI Cloud Computing

Powered by NVIDIA® Tesla® P100 GPUs and NVIDIA® NVLink™ high-speed interconnect technology; the HGX-1 comes as AI workloads—from autonomous driving and personalised healthcare to superhuman voice recognition—are taking off in the cloud.


Data Center HGX NVLINK

Purpose-built for cloud computing, the HGX-1 enclosure architecture provides revolutionary performance with unprecedented configurability and future proofing. It taps into the power of eight NVIDIA Tesla P100 GPUs interconnected with the NVLink hybrid cube, that was introduced with the NVIDIA DGX-1™ for class-leading performance. Its innovative PCIe switching architecture enables a CPU to be dynamically connected to any number of GPUs. This allows cloud service providers that standardize with a single HGX-1 infrastructure to offer customers a range of CPU and GPU machine instances, while a standard NVLINK fabric architecture allows the rich GPU software ecosystem to accelerate AI and other workloads.

With HGX-1, hyperscale data centres can provide optimal performance and flexibility for virtually any accelerated workload, including deep learning training, inference, advanced analytics, and high-performance computing. For deep learning, it provides up to 100X faster performance when compared with legacy CPU-based servers and is estimated to be one-fifth the cost for AI training and one-tenth the cost for AI inferencing. 

With its modular design, HGX-1 is suited for deployment in existing data centres racks across the globe, offering hyperscale data centres a quick, simple path to be ready for AI. HGX-1 is architected to be Volta V100 ready and extract the full AI performance that Volta V100 provides. With a simple drop-in upgrade, Volta V100’s will create an even more flexible and powerful cloud computing platform. 


Kushagra Vaid GM

The HGX-1 AI accelerator provides extreme performance scalability to meet the demanding requirements of fast growing machine learning workloads, and its unique design allows it to be easily adopted into existing data centres around the world.

— Kushagra Vaid GM, Azure Hardware Infrastructure, Microsoft

Jen-Hsun Huang

AI is a new computing model that requires a new architecture. The HGX-1 hyperscale GPU accelerator will do for AI cloud computing what the ATX standard did to make PCs pervasive today. It will enable cloud service providers to easily adopt NVIDIA GPUs to meet surging demand for AI computing.

— Jensen Huang, founder and chief executive officer of NVIDIA

NVIDIA HGX Partner Program

Enabling the world’s leading original design manufacturers (ODM) – Foxconn/Ingrasys, Inventec, Quanta and Wistron – to more rapidly advance AI cloud computing, NVIDIA is providing each ODM with early access to the NVIDIA HGX reference architecture, NVIDIA GPU computing technologies and design guidelines.


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