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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NVIDIA
AI accelerator with 96 GB GDDR7 memory, 24 064 CUDA cores and 4 000 AI TOPS for large-model training and rendering
The NVIDIA RTX PRO 6000 is a desktop AI accelerator card built on the Blackwell architecture for professionals who need maximum local compute. It targets researchers, developers and content creators running large language models, complex simulations or high-resolution rendering workloads that demand extensive memory and tensor throughput.
The card provides 96 GB of GDDR7 memory with ECC across a 512-bit interface delivering 1.8 TB/s bandwidth. This capacity and bandwidth combination is the decisive specification for fitting and feeding the largest models and datasets without offloading to system memory.
Buyers who need a single workstation card with the highest available VRAM for local AI training, inference or 3D rendering will match this profile. Teams planning multi-GPU clusters or servers requiring NVLink interconnects should look at products that explicitly support that scaling topology.
| Brand | NVIDIA |
|---|---|
| Series | Blackwell |
| Part Number | 900-5G144-2200-000 |
| Interface | PCI Express 5.0 x16 |
| Chipset Manufacturer | NVIDIA |
| GPU | RTX PRO 6000 |
| CUDA Cores | 24064 |
| Memory Size | 96GB |
| Memory Clock | 1792 GB/sec |
| Memory Interface | 512-bit |
| Memory Type | GDDR7 with ECC |
| DirectX | DirectX 12 |
| OpenGL | OpenGL 4.6 |
| DisplayPort | 4x DisplayPort 2.1b |
| Cooler | Double-flow-through |
| AI Features | AI TOPS: 4000 Tensor Cores: 5th Gen Ray Tracing Cores: 4th Gen NVIDIA Encoder (NVENC): 4x 9th Gen NVIDIA Decoder (NVDEC): 4x 6th Gen CUDA 12.8 OpenCL 3.0 DirectCompute |
| Auxiliary Power Connector | 1x PCIe CEM5 16-pin |
| Power | Max Power Consumption: 600W |
| Power Consumption | 600W |
| Dimensions (L x H) | 5.4” H x 12” L |
| Slot Width | Dual Slots |
| Features | MIG Support: >Up to 4x 24 GB >Up to 2x 48 GB >Up to 1x 96 GB |
| Shipping weight | 2.18 kg |
| Package size | 375 × 165 × 64 mm |
The 4000 AI TOPS rating indicates peak throughput for FP4 tensor operations on the 5th Gen Tensor Cores; actual inference speed depends on model precision, batch size and software optimisation.
The PCIe 5.0 x16 interface supports up to 64 GT/s raw data rate, enabling high-throughput transfers between the GPU and host for large model loading and multi-GPU scaling.
The card measures 5.4 in height by 12 in length and needs a single PCIe CEM5 16-pin auxiliary power connector rated for 600 W maximum draw.
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