NVIDIA RTX PRO 6000 96GB GDDR7 AI Accelerator Card 900-5G144-2200-000
AI accelerator with 96 GB GDDR7 memory, 24 064 CUDA cores and 4 000 AI TOPS for large-model training and rendering
- Graphics processorRTX PRO 6000
- Memory capacity96 GB
- Interface typePCI Express 5.0 x16
- CUDA core count24064
- Type of memoryGDDR7 with ECC
- Cooling solutionDouble-flow-through
- 96 GB GDDR7 memory with ECC for large AI models
- 8 TB/s memory bandwidth accelerates data-intensive workloads
- 24064 CUDA cores deliver massive parallel compute power
- 4000 AI TOPS enable fast inference and training
- Four DisplayPort 2.1b outputs drive multiple high-resolution displays
Professional AI Accelerator
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.
96 GB GDDR7 with ECC
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.
Suits large-model work; not for multi-GPU scaling
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.
How it compares
Measured against everything we stock in GPUs for AI & Data Centers, at today’s prices. Recalculated every night.
- Price $11,806.99
- Pricier than about 79% of the 36 comparable items (median $5,369.99).
- Memory capacity 96 GB
- Higher than about 80% of the 12 comparable items (median 79 GB).
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Specifications
| Product | |
|---|---|
| Brand name | NVIDIA |
| Product line | Blackwell |
| Part number | 900-5G144-2200-000 |
| Memory | |
| Type of memory | GDDR7 with ECC |
| Memory clock | 1,792 GB/sec |
| Graphics | |
| Graphics processor | RTX PRO 6000 |
| Memory capacity | 96 GB |
| CUDA core count | 24064 |
| Chipset maker | NVIDIA |
| Memory bus width | 512-bit |
| DirectX support | 12 |
| OpenGL support | 4.6 |
| Ports & slots | |
| Interface type | PCI Express 5.0 x16 |
| DisplayPort connectors | 4x DisplayPort 2.1b |
| Auxiliary power connector | 1x PCIe CEM5 16-pin |
| Power | |
| Power draw | 600 W |
| Power details | Consumption: 600 W |
| Size & build | |
| Dimensions (l x h) | 5.4 in H × 12 in L |
| Slots occupied | Dual Slots |
| Shipping weight | 2.18 kg |
| Package size | 375 × 165 × 64 mm |
| More details | |
| Cooling solution | Double-flow-through |
Questions about this item
How does the 4000 AI TOPS figure translate to real workloads?
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.
What practical bandwidth does the PCI Express 5.0 x16 link provide?
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.
What clearance and power connections does the double-flow-through cooler require?
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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