NVIDIA H200 NVL AI Accelerator Card 141GB HBM3e PCIe 5.0 x16 900-21010-0040-000
- PCI Express 5.0 x16
- NVIDIA
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GIGABYTE
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.
| Brand | PNY |
|---|---|
| Model | RTX PRO 6000 Blackwell Workstation Edition |
| Part Number | VCNRTXPRO6000B-PB |
| Interface | PCI Express 5.0 x16 |
| Chipset Manufacturer | NVIDIA |
| GPU | RTX PRO 6000 Blackwell Workstation Edition |
| CUDA Cores | 24,064 |
| Memory Size | 96GB |
| Memory Type | GDDR7 with ECC |
| DisplayPort | 4 x Display Port 2.1 |
| 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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