Brand: NVIDIA | Category: GPUs
SKU: NVID-S2N69C | Part #: S2N69C | MPN: S2N69C
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The NVIDIA RTX PRO 6000 Blackwell Server Edition (HPE) from NVIDIA is enterprise-grade GPUs hardware built for data centers. 96GB Blackwell professional GPU engineered for enterprise AI inference, simulation, and visualization on HPE-validated server platforms. Available in brand new condition. NVIDIA gpus products are trusted by enterprises and data centers worldwide. Available from Omnixon Global. Contact our sales team to request a quote.
| Brand | NVIDIA |
| Category | GPUs |
| SKU | NVID-S2N69C |
| Part Number | S2N69C |
| Condition | New |
| Product Line | RTX PRO 6000 Blackwell Server Edition |
| Channel SKU | HPE-validated Server Edition |
| GPU Architecture | NVIDIA Blackwell (5th Generation) |
| CUDA Cores | 18176 |
| 5th-Gen Tensor Cores | 568 |
| 4th-Gen RT Cores | 142 |
| GPU Memory | 96 GB GDDR7 ECC |
| Memory Bus Width | 384-bit |
| Memory Bandwidth | Up to 1792 GB/s |
| FP32 Single-Precision Performance | ~125 TFLOPS |
| FP64 Double-Precision Performance | ~62.5 TFLOPS |
| AI Tensor (TF32) Performance | ~2500 TOPS |
| System Interface | PCIe 5.0 x16 |
| NVLink Version | NVLink 5.0 (multi-GPU bridging supported) |
| Form Factor | Dual-slot, Full-Height Full-Length (FHFL) |
| Thermal Design Power (TDP) | 300W |
| Power Connector | 16-pin PCIe Gen 5 (1× 600W-capable) |
| Display Outputs | 4× DisplayPort 2.1 (up to 4× 8K60 HDR) |
| Video Encode/Decode Engines | 3× AV1 / HEVC / H.264 hardware encode; 3× AV1 / HEVC / H.264 / VP9 hardware decode |
| Virtualization Support | NVIDIA vGPU (GRID) — MIG-style partitioning, multi-tenant enterprise profiles |
| API Support | CUDA 12.x, OpenCL 3.0, DirectX 12 Ultimate, Vulkan 1.3, OpenGL 4.6 |
| ECC Memory Protection | Full ECC on all GDDR7 memory (single-bit correction, double-bit detection) |
| Operating System Support | Windows Server 2022/2025, Red Hat Enterprise Linux 8/9, Ubuntu 22.04 LTS, VMware vSphere 8.x |
| Certifications | HPE ProLiant / HPE Cray platform validation; ISV-certified for major CAD, DCC, and AI frameworks |