Price for 6000 Blackwell series cards have stabilized after 3 consecutive 30% baseline hikes by Nvidia in 2026 and are expected to maintain through the rest of 2026. Supply remains strained. Please note that compliance is mandatory on all AI enterprise compute GPUs and Servers and end-user forms must be filled out before we can share any quotes. Please note Credit Card payments will only work if USD or AED currency is selected on top right corner of the website. HGX B200/B300 lead times are now between 8-14 weeks for Golden Sku, with custom BOMs exceed 20 weeks. For DRAM and SSD bulk orders, please inquire in the chat.Important Notice: We have detected scammers impersonating Viperatech; please verify all payment requests and contact us through our official channels.
✓ GPU Memory: 5 GB GDDR5X
✓ Memory Interface: 160-bit
✓ Memory Bandwidth: Up to 200 GB/s
✓ NVIDIA CUDA® Cores: 1280
✓ System Interface: PCI Express 3.0 x16
✓ Max Power Consumption: 75 W
✓ Thermal Solution: Active
✓ Form Factor: 4.4” H x 7.9” L, Single Slot
✓ Display Connectors: 4x DP 1.4
✓ Max Simultaneous Displays: 4 direct, 4 DP 1.4
✓ Multi-Stream Display Resolution: 4x 4096×2160 @ 120Hz, 4x 5120×2880 @ 60Hz
✓ Graphics APIs: Shader Model 5.1, OpenGL 4.6, DirectX 12.0, Vulkan 1.1
✓ Compute APIs: CUDA, DirectCompute, OpenCL™
✓ 2-year manufacturer warranty included
Ships in 5 days from payment. For bulk inquiries, consult a live chat agent or call our toll-free number.
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| Specification | Details |
|---|---|
| GPU Memory | 5 GB GDDR5X |
| Memory Interface | 160-bit |
| Memory Bandwidth | Up to 200 GB/s |
| NVIDIA CUDA® Cores | 1280 |
| System Interface | PCI Express 3.0 x16 |
| Max Power Consumption | 75 W |
| Thermal Solution | Active |
| Form Factor | 4.4” H x 7.9” L, Single Slot |
| Display Connectors | 4x DP 1.4 |
| Max Simultaneous Displays | 4 direct, 4 DP 1.4 |
| Multi-Stream Display Resolution | 4x 4096×2160 @ 120Hz, 4x 5120×2880 @ 60Hz |
| Graphics APIs | Shader Model 5.1, OpenGL 4.6, DirectX 12.0, Vulkan 1.1 |
| Compute APIs | CUDA, DirectCompute, OpenCL™ |
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