NVIDIA RTX PRO 6000 96GB GDDR7 AI Accelerator Card 900-5G144-2200-000
- RTX PRO 6000
- PCIe 5.0 x16
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AI accelerator with 96 GB GDDR7 ECC memory and 24064 CUDA cores for large-model training and rendering
The GIGABYTE 25FC9-RTX001-P2R is a professional AI accelerator card built on the NVIDIA Blackwell architecture. It delivers 24,064 CUDA cores and 96 GB of GDDR7 memory with ECC for data integrity. The card connects through a PCI Express 5.0 x16 interface and draws up to 600 W of power.
Researchers and engineers training large language models or running complex simulations will benefit from the 96 GB frame buffer and fifth-generation Tensor cores with FP4 support. Creative professionals driving four DisplayPort 2.1 monitors at high resolution also fit this profile. Buyers who need more than 96 GB of VRAM or who lack a 600 W power budget should consider other options.
The 96 GB capacity comfortably holds large model weights, high-resolution textures and extensive datasets in a single GPU. ECC protection guards against silent data corruption during long compute runs. Workloads exceeding 96 GB will require multi-GPU configurations or CPU offload, which introduce latency and complexity.
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| Product | |
|---|---|
| Brand name | PNY |
| Model name | RTX PRO 6000 Blackwell Workstation Edition |
| Part number | VCNRTXPRO6000B-PB |
| Memory | |
| Type of memory | GDDR7 with ECC |
| Graphics | |
| Graphics processor | RTX PRO 6000 Blackwell Workstation Edition |
| Memory capacity | 96 GB |
| CUDA core count | 24,064 |
| Chipset maker | NVIDIA |
| Ports & slots | |
| Interface type | PCI Express 5.0 x16 |
| DisplayPort connectors | 4 x Display Port 2.1 |
| Size & build | |
| Shipping weight | 2.29 kg |
| Package size | 381 × 216 × 76 mm |
A power supply rated above 600 W with a 16-pin connector is required to deliver the 600 W maximum power consumption.
Yes, the card is backward compatible and will operate at PCI Express 4.0 x16 speeds in a 4.0 slot.
Open NVIDIA Control Panel or run nvidia-smi; both will list the GPU with 24064 CUDA cores and 96 GB GDDR7 memory.
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