NVIDIA B200 SXM Tensor Core GPU
Brand: NVIDIA | Category: GPUs
SKU: B200-SXM-180GB | Part #: B200-SXM-180GB | MPN: B200-SXM-180GB
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About the NVIDIA B200 SXM Tensor Core GPU
The NVIDIA B200 SXM Tensor Core GPU requires careful power delivery planning: its 700W consumption and 12V-2x6 / 16-pin server-class power connector demand enterprise-grade PSU capacity and proper chassis thermal design. The SXM form factor positions this accelerator for high-density server deployments where compute density and memory bandwidth are non-negotiable. With 180 GB HBM3e memory and 14.4 TB/s memory bandwidth, the B200-SXM-180GB delivers the memory capacity and interconnect speed required for production AI and scientific computing workloads at scale.
Built on NVIDIA's Blackwell architecture, this GPU targets three core use cases: LLM training, inference, and HPC. The 20 TFLOPS TF32 tensor performance positions the B200 as a workhorse for organizations training and deploying large language models, running batch inference at scale, and executing high-performance computing simulations. Enterprise AI infrastructure teams, data center architects, and HPC procurement groups are the primary buyers—organizations that measure GPU ROI in throughput per watt and require certified enterprise support backed by a 3-year manufacturer warranty, with extended coverage available.
Omnixon Global stocks the NVIDIA B200 SXM Tensor Core GPU (part number B200-SXM-180GB) for immediate integration into your enterprise AI and HPC infrastructure. Our technical team can assist with specifications verification, server compatibility assessment, and logistics coordination. To request a quote, submit your requirements through Omnixon Global's RFQ portal or contact our B2B solutions team directly.
Technical Specifications
| Brand | NVIDIA |
| Category | GPUs |
| SKU | B200-SXM-180GB |
| Part Number | B200-SXM-180GB |
| Condition | New |
| GPU Model | B200 |
| Power Connector | 12V-2x6 / 16-pin (server-class) |
| Warranty | 3-year manufacturer warranty (extended available) |
| Form Factor | SXM |
| Manufacturer Part Number | B200-SXM-180GB |
| Memory Capacity | 180 GB HBM3e |
| Memory Bandwidth | 14.4 TB/s |
| Power Consumption | 700W |
| Architecture | Blackwell |
| Use Cases | LLM training, inference, HPC |
| Tensor Performance (TF32) | 20 TFLOPS |
Frequently Asked Questions about NVIDIA B200 SXM Tensor Core GPU
What server platforms accept the NVIDIA B200 SXM Tensor Core GPU?
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.
How long is the lead time on AI GPUs?
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.
Do you supply matched networking (Quantum InfiniBand / Spectrum-X)?
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.
Can you help with NVIDIA AI Enterprise licensing?
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.