NVIDIA DGX H100 Deep Learning Console 640GB SXM5

$340,000.00

+ Free Shipping

✓ Equipped with 8x NVIDIA H100 Tensor Core GPUs SXM5

✓ GPU memory totals 640GB

✓ Achieves 32 petaFLOPS FP8 performance

✓ Incorporates 4x NVIDIA® NVSwitch™ Link

✓ System power usage peaks at ~10.2kW

✓ Employs Dual 56-core 4th Gen Intel® Xeon® Scalable processors

✓ Provides 2TB of system memory

✓ Offers robust networking, including 4x OSFP ports, NVIDIA ConnectX-7 VPI, and options for 400 Gb/s InfiniBand or 200 Gb/s Ethernet

✓ Features 10 Gb/s onboard NIC with RJ45 for management network, with options for a 50 Gb/s Ethernet NIC

✓ Storage includes 2x 1.9TB NVMe M.2 for OS and 8x 3.84TB NVMe U.2 for internal storage

✓ Comes pre-loaded with NVIDIA AI Enterprise software suite, NVIDIA Base Command, and choice of Ubuntu, Red Hat Enterprise Linux, or CentOS operating systems

✓ Operates within a temperature range of 5–30°C (41–86°F)

✓ 3 year manufacturer parts or replacement warranty included (return-to-base only)

✓ HPC Datacenter Deployment services available for cluster node buyers (our technicians use Kubernetes)

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Next-Level AI Power with NVIDIA DGX H100 Deep Learning Console 640GB SXM5

The NVIDIA DGX H100 Deep Learning Console with 640GB of high-speed SXM5 GPU memory represents the pinnacle of AI performance infrastructure. Engineered for breakthrough capabilities in large language models, generative AI, and scientific computing, it’s the platform trusted by global innovators and research leaders.

Specifications

Specification Description
GPU 8x NVIDIA H100 Tensor Core GPUs SXM5
GPU memory 640GB total
Performance 32 petaFLOPS FP8
NVIDIA® NVSwitch™ 4x
System power usage ~10.2kW max
CPU Dual 56-core 4th Gen Intel® Xeon® Scalable processors
System memory 2TB
Networking 4x OSFP ports serving 8x single-port NVIDIA ConnectX-7 VPI; 400 Gb/s InfiniBand or 200 Gb/s Ethernet; 2x dual-port NVIDIA ConnectX-7 VPI; 1x 400 Gb/s InfiniBand; 1x 200 Gb/s Ethernet
Management network 10 Gb/s onboard NIC with RJ45; 50 Gb/s Ethernet optional NIC; Host baseboard management controller (BMC) with RJ45
Storage OS: 2x 1.9TB NVMe M.2; Internal storage: 8x 3.84TB NVMe U.2
Software NVIDIA AI Enterprise – Optimized AI software; NVIDIA Base Command – Orchestration, scheduling, and cluster management; Ubuntu / Red Hat Enterprise Linux / CentOS – Operating system
Support Comes with 3-year business-standard hardware and software support
Operating temperature range 5–30°C (41–86°F)

Built for Large-Scale Deep Learning

Packed with eight NVIDIA H100 Tensor Core GPUs, the DGX H100 is purpose-built to handle the most demanding training and inference tasks with unmatched speed and accuracy. It empowers organizations to tackle massive datasets, fine-tune transformer-based models, and deploy AI workloads at scale—without compromise.


Related High-Performance Components

If you’re exploring your deep learning architecture options, the NVIDIA H100 GPU HBM3 PCI-E offers flexibility for PCI-E-based servers, while the NVIDIA GPU Baseboard 4 H200 delivers modular scalability for multi-GPU environments. For teams looking to scale down, the NVIDIA DGX Station 4X A100 160GB is a compact yet powerful alternative—but nothing rivals the sheer performance of the DGX H100.


 Ready to Lead the AI Revolution

With fully integrated NVIDIA software, optimized frameworks, and fast deployment capabilities, the DGX H100 offers an out-of-the-box solution for enterprises serious about pushing the frontier of AI. Whether you’re training billion-parameter models or running simulations at massive scale, this system brings you future-proof performance and reliability.

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