
NVIDIA RTX A6000 48GB GDDR6 Professional Graphics Card – High-Performance GPU for Workstations
Estimated Date of Dispatch by Tue Dec 9 2025
₹530,999
Ex Tax: ₹449,999
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- Model: NVIDIA RTX A6000 (48GB GDDR6)
- SKU: 86INCIHID9
- XSIN: 86INCIHID9
- Condition: Seller Refurbished

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| General | |
| Warranty | 90 days |
| Part Number | NVIDIA RTX A6000 (48GB GDDR6) |
| Model | NVIDIA RTX A6000 (48GB GDDR6) |
| Compatibility | PCIe Interface: The GPU requires a PCI Express 4.0 x16 slot for full bandwidth, though it is backward compatible with PCIe 3.0 slots (with some potential performance reduction). Form Factor and Space: It is a full-height, dual-slot card, measuring 10.5" (L) x 4.4" (H). Ensure your case/chassis has enough physical clearance and proper slot spacing. Power Supply (PSU): The card has a maximum power consumption of 300W. Minimum Recommended PSU: 650W. Recommended for Workstations: 800W or higher, especially if using a high-end CPU or multiple GPUs. Power Connector: It typically requires a single 8-pin CPU power connector (some models may use an 8-pin + 6-pin PCIe or dual 8-pin connectors, depending on the manufacturer). CPU: A capable CPU is needed to avoid performance bottlenecks. Compatible processors include: Intel: 10th Gen Core i7/i9 or Xeon W-2200 series (or newer). AMD: Ryzen 7/9 5000 series or Threadripper PRO (or newer). For AI and rendering, a CPU with at least 8 cores is recommended. RAM: The system memory should be sufficient for professional workloads. Minimum: 32GB DDR4 or DDR5. Recommended for AI/ML or high-end rendering: 64GB, 128GB, or more. Operating System: Compatible with Windows 10/11 64-bit and various Linux distributions (e.g., Ubuntu, RHEL). Cooling: The A6000 has an active, blower-style cooling solution. Adequate case airflow is essential, especially in server environments or multi-GPU setups, to prevent thermal throttling. |
Model: NVIDIA RTX A6000
Memory: 48GB GDDR6 ECC
Ideal For:
• AI / Deep Learning
• 3D Rendering
• Video Editing
• Workstation & Server Use
✅ Professional-grade performance
✅ Supports CUDA, Tensor, and RT cores
✅ Multi-GPU scalability (NVLink ready)









