AI Supercomputing Platform
Massive datasets, complex simulations, and sophisticated models require multiple GPUs with high-speed interconnections to efficiently process and analyze the information in real-time, ensuring high performance and scalability across simultaneous AI jobs at every scale. By integrating 8 NVIDIA Hopper/Blackwell Tensor Core GPUs, the NVIDIA HGX™ AI supercomputing platform pack the power of NVIDIA GPUs, NVIDIA NVLink™, NVIDIA networking together to deliver exceptional compute performance for AI breakthroughs across industries.
NVIDIA HGX H200
NVIDIA HGX™ H200, the leading AI supercomputing platform, features the H200 Tensor Core GPUs for next-level GPU performance. An eight-way HGX H200 system provides over 32 petaflops of FP8 deep learning compute and 1.1 terabytes (TB) of aggregate high-bandwidth memory for generative AI and high-performance computing (HPC) applications.
Featured Product
The Ingrasys HGX H200 system, equipped with eight H200 Tensor Core GPUs — the first NVIDIA GPUs to offer HBM3e — elevates generative AI and HPC workloads to new heights with larger and faster memory. With drop-in replacement compatibility for existing HGX H100 infrastructure, the system ensures seamless integration, enabling organizations to accelerate deployment. Featuring high expansion capability, the system can pair with an x86-based system of your choice to create a unified AI solution, ready to meet the demands of modern AI and HPC environments.
GB10281N
- GPU: NVIDIA HGX H200 8-GPU
- Drives: 32 x NVMe Drive Bays
- Expansion Slots: 20 x PCIe 5.0 x16 Slots
- Power Supplies: 5+5 Redundant 3000W Platinum Power Supplies
- Form Factor: 10 U Air-cooled System
