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 card with 96 GB GDDR7 ECC memory, 24,064 CUDA cores, four DisplayPort 2.1 outputs and a 300 W PCIe 5.0 x16 interface
The GIGABYTE 25FC9-RTX003-P2R is an NVIDIA RTX PRO 6000 Blackwell Max-Q AI accelerator card built for data science, AI training, and complex visualization workloads. It delivers 24,064 CUDA cores and 96GB of GDDR7 memory with ECC for accuracy at scale. Professionals handling massive datasets or multi-GPU deployments will find the memory capacity and compute density suited to mission-critical pipelines.
The card installs into a PCI Express 5.0 x16 slot and draws up to 300 W, so the platform must supply adequate power and cooling for sustained workloads. Four DisplayPort 2.1 outputs drive multiple high-resolution displays without extra adapters. RTX PRO SYNC compatibility lets the GPU synchronize with supported displays and external sync sources for frame-accurate multi-GPU visualization.
The 96GB GDDR7 frame buffer with ECC accommodates large language models, high-resolution simulation data, and multi-application GPU sharing without paging to system memory. Workloads exceeding 96GB or requiring higher double-precision throughput will need additional cards or a different accelerator class. Buyers who need more memory per GPU or lower power envelopes should evaluate alternative configurations.
| Brand | PNY |
|---|---|
| Model | RTX PRO 6000 Blackwell Max-Q |
| Part Number | VCNRTXPRO6000BQ-PB |
| Interface | PCI Express 5.0 x16 |
| Chipset Manufacturer | NVIDIA |
| GPU | RTX PRO 6000 Blackwell Max-Q |
| CUDA Cores | 24,064 |
| Memory Size | 96GB |
| Memory Type | GDDR7 with ECC |
| DisplayPort | 4 x Display Port 2.1 |
| Shipping weight | 1.52 kg |
| Package size | 358 × 216 × 76 mm |
The 96 GB GDDR7 with ECC becomes the limit when datasets, simulations or models exceed that capacity, forcing data to spill to system memory and reducing throughput.
The card draws up to 300 W under full load, so sustained operation requires chassis airflow and cooling capable of dissipating that heat continuously.
A PCI Express 5.0 x16 slot and sufficient auxiliary power connectors for a 300 W board are required before installation.
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