GIGABYTE 25FC9-RTX001-P2R ai accelerator card 96 GB GDDR7 24064 CUDA
- PCI Express 5.0 x16
- NVIDIA
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NVIDIA
An AI accelerator with 141GB HBM3e memory and 4.8TB/s bandwidth for enterprise generative AI and HPC workloads
The NVIDIA H200 NVL is an AI accelerator card built for enterprise generative AI, LLM inference, fine-tuning and high-performance computing workloads. It uses the Hopper architecture GPU with 141GB of HBM3e memory connected through a PCI Express 5.0 x16 interface. The card targets mainstream enterprise servers that need flexible, air-cooled rack configurations.
This card employs a passive cooling design optimised for low-power air-cooled enterprise rack deployments. It operates at a 700W TDP while delivering 4.8TB/s memory bandwidth from the HBM3e memory. The thermal solution is built for dense server environments where active fan cooling on the card itself is not used.
The single specification that determines suitability is the 141GB HBM3e memory capacity with 4.8TB/s bandwidth. This capacity enables larger model inference and fine-tuning without offloading to system memory. Buyers who need more memory per GPU or who require active cooling on the card should evaluate other form factors.
| Brand | NVIDIA |
|---|---|
| Series | Tesla Hopper |
| Model | GPU-NVH200NV |
| Part Number | 900-21010-0040-000 |
| Interface | PCI Express 5.0 x16 |
| Chipset Manufacturer | NVIDIA |
| GPU | NVIDIA H200 |
| Memory Size | 141GB |
| Memory Type | HBM3e |
| Shipping weight | 1.38 kg |
| Package size | 324 × 160 × 70 mm |
Seat the card in a PCIe 5.0 x16 slot, secure the bracket, then connect NVLink bridges between GPUs before powering on; the passive 700W design needs confirmed rack airflow.
The HBM3e memory is permanently packaged with the GPU; no user-serviceable parts exist, so replacement means swapping the entire accelerator card.
Thermal headroom in the rack is the first constraint; without sufficient air flow the GPU will throttle to stay within its 700W TDP envelope.
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