Brand: NVIDIA | Category: GPUs
SKU: 900-21010-0000-000 | Part #: 900-21010-0000-000 | MPN: 900-21010-0000-000
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The NVIDIA H100 80GB SXM5 Tensor Core GPU delivers 67 TFLOPS at FP32, 1,457 TFLOPS at TensorFloat-32, and exceptional throughput across AI precision tiers, making it the cornerstone of next-generation data center acceleration. Built on NVIDIA's most advanced architecture, this GPU combines 80 GB of HBM3 memory with a memory bandwidth of 3.35 TB/s to handle the most demanding large language model training, inference, and high-performance computing workloads without memory bottlenecks. The SXM5 form factor ensures seamless integration into enterprise server systems, while dual 16-pin 12V-2x6 connectors provide the robust 700 W typical power delivery required for sustained peak performance.
Organizations seeking to accelerate AI infrastructure—including AI infrastructure teams, research institutions, and enterprise data centers—will find the H100 (part number 900-21010-0000-000) essential for scaling transformer-based models and complex HPC simulations. NVIDIA's CUDA Compute Capability 9.0 unlocks advanced parallel processing, while NVLink C2C and PCIe 5.0 interconnect support enable multi-GPU clustering for distributed training at scale. Operating reliably across 0–50°C, the H100 arrives with a standard 3-year manufacturer warranty, with extended coverage available for mission-critical deployments. Contact Omnixon Global to request an RFQ for the NVIDIA H100 80GB SXM5 and explore enterprise licensing, volume pricing, and integration support tailored to your infrastructure roadmap.
| Brand | NVIDIA |
| Category | GPUs |
| SKU | 900-21010-0000-000 |
| Part Number | 900-21010-0000-000 |
| Condition | New |
| Capacity | 80GB |
| Form Factor | SXM5 |
| Interface | PCIe Gen5 |
| GPU Model | H100 |
| GPU Memory | 80 GB |
| Form Factor / Interconnect | SXM5 |
| Power Connector | 12V-2x6 / 16-pin (server-class) |
| Warranty | 3-year manufacturer warranty (extended available) |
| GPU Memory Capacity | 80 GB HBM3 |
| Memory Bandwidth | 3.35 TB/s |
| Form Factor | SXM5 |
| FP64 Tensor Performance | 34 TFLOPS |
| FP32 Tensor Performance | 67 TFLOPS |
| TensorFloat-32 Performance | 1,457 TFLOPS |
| Power Consumption | 700 W typical |
| CUDA Compute Capability | 9.0 |
| Interconnect Support | NVLink C2C, PCIe 5.0 |
| Applications | LLM Training, Inference, HPC Workloads |
| Operating Temperature | 0–50°C |
Reference servers include Dell PowerEdge XE9680 / XE9712, HPE Cray XD670, Lenovo ThinkSystem SR685a / SR675 V3, Supermicro AS-A21GE / SYS-821GE, Gigabyte G593 / G894, ASUS ESC. Share your target platform in the RFQ and we will confirm chassis-to-GPU compatibility and recommended NIC pairing.
Highly model-dependent. L40S / RTX-class: typically 3-6 weeks. H100/H200/B200 in SXM form factor: 12-16 weeks for whole-platform allocations. We quote authorised-channel ETAs only — no grey-market promises.
Yes — Omnixon stocks the full NVIDIA networking lineup (Quantum-2 / Quantum-X InfiniBand, Spectrum-X Ethernet, ConnectX NICs, BlueField DPUs) so we can quote a complete training-cluster BOM, not just the GPUs.
Yes. We hold authorised channels for NVIDIA AI Enterprise software subscriptions. Add it to your RFQ and we quote node-aligned licensing along with the hardware.