Brand: Supermicro | Category: GPUs
SKU: 900-5X206-2540-000 | Part #: 900-5X206-2540-000 | MPN: 900-5X206-2540-000
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The Supermicro B200 SXM6 GPU Tray (part number 900-5X206-2540-000) is a purpose-built GPU tray assembly designed to house NVIDIA B200 SXM6 accelerators within Supermicro's high-density AI and HPC server platforms. Engineered to complement Supermicro's SYS-X25 and compatible SXM6-based server architectures, this tray provides the structural, thermal, and electrical integration layer required to deploy NVIDIA Blackwell B200 SXM6 GPUs at scale in enterprise datacenter environments.
The B200 SXM6 GPU leverages NVIDIA's Blackwell architecture, delivering substantial advances in FP8, FP16, BF16, and TF32 compute throughput compared to prior-generation Hopper SXM5 modules. The SXM6 form factor supports high-bandwidth NVLink and NVSwitch interconnects, enabling tightly coupled multi-GPU configurations that are essential for large-scale generative AI model training, fine-tuning, and high-performance inference at the frontier of model complexity. The tray assembly integrates directly with Supermicro's liquid-cooling and power-delivery infrastructure to sustain the thermal design requirements of the B200 SXM6 module under sustained datacenter workloads.
Targeted at enterprises deploying AI training clusters, scientific simulation environments, and large language model inference infrastructure, the Supermicro B200 SXM6 GPU Tray represents a fully validated, production-ready integration of NVIDIA Blackwell compute into Supermicro's enterprise server ecosystem. Availability through Omnixon Global extends access to buyers across UAE, GCC, EMEA, and APAC regions seeking to deploy next-generation GPU compute capacity.
| Manufacturer | Supermicro |
| Manufacturer Part Number | 900-5X206-2540-000 |
| Product Name | Supermicro B200 SXM6 GPU Tray |
| GPU Architecture | NVIDIA Blackwell |
| GPU Module | NVIDIA B200 SXM6 |
| Form Factor | SXM6 Tray Assembly |
| GPU Interconnect | NVLink (5th Generation) |
| NVLink Bandwidth | 1.8 TB/s bidirectional (per B200 SXM6 GPU) |
| GPU Memory Type | HBM3e |
| GPU Memory Capacity | 192 GB HBM3e |
| GPU Memory Bandwidth | 8 TB/s |
| Cooling Method | Liquid Cooling (Direct Liquid Cooling compatible) |
| Host Interface | PCIe 5.0 x16 |
| Compatible Platform | Supermicro SXM6-based server systems (e.g., SYS-X25 series) |
| Product Category | GPU Tray / Accelerator Module Assembly |
| Target Workloads | AI Training, AI Inference, HPC |
| Brand | Supermicro |
Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.
| Brand | Supermicro |
| Category | GPUs |
| SKU | 900-5X206-2540-000 |
| Part Number | 900-5X206-2540-000 |
| Condition | New |
| Manufacturer Part Number | 900-5X206-2540-000 |
| Product Name | Supermicro B200 SXM6 GPU Tray |
| GPU Architecture | NVIDIA Blackwell |
| GPU Module | NVIDIA B200 SXM6 |
| Form Factor | SXM6 Tray Assembly |
| GPU Interconnect | NVLink (5th Generation) |
| NVLink Bandwidth | 1.8 TB/s bidirectional (per B200 SXM6 GPU) |
| GPU Memory Type | HBM3e |
| GPU Memory Capacity | 192 GB HBM3e |
| GPU Memory Bandwidth | 8 TB/s |
| Cooling Method | Liquid Cooling (Direct Liquid Cooling compatible) |
| Host Interface | PCIe 5.0 x16 |
| Compatible Platform | Supermicro SXM6-based server systems (e.g., SYS-X25 series) |
| Product Category | GPU Tray / Accelerator Module Assembly |
| Target Workloads | AI Training, AI Inference, HPC |
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 genuine-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 genuine-channels for NVIDIA AI Enterprise software subscriptions. Add it to your RFQ and we quote node-aligned licensing along with the hardware.