Significant price hikes on 5090, L40S and Enerperise Blackwell Series GPUs continues into Q1 2026. Please note Credit Card payments will only work if USD or AED currency is selected on top right corner of the website. For US customers; before placing an order for any crypto miners, inquire with a live chat sales rep or toll-free phone agent about any potential tariffs. HGX B200 lead times are now between 8-20 weeks for Golden Sku selections, with custom BOMs exceed 26 weeks. HGX H200 offerings in stock, as well as limited HGX B300. We are now certified partners of Supermicro in both NA and MENA regions.
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✓ GPU: 8x NVIDIA H800 Tensor Core GPUs
✓ GPU Memory: 640GB total
✓ Performance: 32 petaFLOPS FP8
✓ NVIDIA NVSwitch: 4x
✓ System Power Usage: 10.2KW max
✓ CPU: Dual Intel Xeon Platinum 8480C Processors, 112 Cores, Base: 2.00 GHz, Boost: 3.80 GHz
✓ System Memory: 2TB
✓ Networking:
4x OSFP ports for 8x NVIDIA ConnectX-7 VPI (Up to 400Gb/s)
2x QSFP112 NVIDIA ConnectX-7 VPI (Up to 400Gb/s)
10Gb/s onboard NIC with RJ45
100Gb/s Ethernet NIC
✓ Management Network: Host BMC with RJ45
✓ Storage: 2x 1.92TB NVMe M.2, 8x 3.84TB NVMe U.2
✓ Software: NVIDIA AI Enterprise, NVIDIA Base Command, DGX OS / Ubuntu / Red Hat / Rocky
✓ Support: 3-year business-standard hardware and software support
✓ System Weight: 287.6lbs (130.45kgs)
✓ Packaged System Weight: 376lbs (170.45kgs)
✓ System Dimensions: H: 14.0in (356mm), W: 19.0in (482.2mm), L: 35.3in (897.1mm)
✓ Operating Temperature Range: 5-30°C (41-86°F)
Some country restrictions apply. All sales final. No returns or cancellations. For bulk inquiries, consult a live chat agent or call our toll-free number.
The system boasts a formidable configuration, featuring 8 NVIDIA H800 Tensor Core GPUs delivering exceptional computational power for demanding AI workloads. With a total GPU memory of 640GB and a performance capability of 32 petaFLOPS FP8, it stands as a high-performance computing solution suitable for a range of applications. Equipped with NVIDIA NVSwitch technology, offering 4x connectivity, the system enables efficient data communication between GPUs, further enhancing its parallel processing capabilities. Additionally, with a maximum power usage of 10.2KW, it maintains an optimal balance between performance and energy efficiency, making it suitable for intensive computing tasks.

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