RTX PRO 6000 Blackwell Max-Q
The RTX PRO 6000 Blackwell Max-Q is Nvidia’s 96GB graphics card with a 300W board power rating, built on the Blackwell GB202 architecture. Below you’ll find what it can run locally, its benchmark scores and its full spec sheet, plus all 1 board version we track, each with its cheapest current price.
Prices update regularly and may differ at the retailer. This page contains affiliate links.
Benchmarks
Standardized benchmark scores for this chip, each compared to the fastest card we track and linked to its source. They apply to every board version.
Render
Compute & AI
3D graphics
Local AI performance
What the RTX PRO 6000 Blackwell Max-Q can run on your own machine, and how fast.
Largest model it can run (8K context)
- Q4 (the usual choice, near-original quality)
- ~141B
- Q8 (closer to original, half the model size)
- ~81B
- FP16 (unquantised, for training and research)
- ~43B
Parameter counts the card holds with room for an 8K conversation, counting the model weights plus its attention cache. A longer conversation needs more memory, so it lowers these figures.
Speed & value
- Speed, 8B model at Q4
- 202-242 tok/s
- Memory bandwidth
- 1792 GB/s
- Price per GB of VRAM
- $182.28
Generation speed tracks memory bandwidth, because every word produced reads the whole model from memory. Shown as a range.
Models that fit, at Q4
| Model | Size | Memory needed | Est. speed |
|---|---|---|---|
| Zephyr 141B | 141B | 81.4GB | — |
| Mistral Large 123B | 123B | 76.4GB | 13-16 tok/s |
| Nemotron 3 Super 120B | 121B | 87.6GB | 11-14 tok/s |
Popular models small enough for this card at Q4, one per family. Speed is left blank for mixture-of-experts models, where a bandwidth estimate is not reliable enough to publish.
Choosing a card for AI? Compare every GPU for local AI, including setups that pool the memory of two or more cards.
RTX PRO 6000 Blackwell Max-Q versions (1)
Every board version we track, cheapest first.
- $17,499.00
| Version | Boost Clock | Length | Color | From | Buy | |
|---|---|---|---|---|---|---|
| Nvidia RTX PRO 6000 Blackwell Max-Q | — | 267 mm | — | $17,499.00 | |
1 board version of the RTX PRO 6000 Blackwell Max-Q are listed above, starting from $17,499.00. Prices update daily from live retailer stock. Click any version name for its full spec sheet and all current retailer prices.
Specifications
Every RTX PRO 6000 Blackwell Max-Q board version we track measures 267 mm long.
Performance
- Boost clock
- 2280 MHz
- Shader cores
- 24,064
- SM count
- 188
- Texture units (TMUs)
- 752
- Render outputs (ROPs)
- 192
- RT cores
- 188 · 4th gen
- Tensor / AI cores
- 752 · 5th gen
Memory
- VRAM
- 96GB GDDR7
- Memory bus
- 512-bit
- Bandwidth
- 1792 GB/s
- Memory speed
- 28 Gbps
- L2 cache
- 128 MB
GPU die
- Architecture
- Blackwell GB202
- Process node
- TSMC 4N
- Foundry
- TSMC
- Die size
- 750 mm²
- Transistors
- 92.2 billion
- Generation
- RTX PRO Blackwell
Power
- TDP
- 300W
Display & outputs
- Max resolution
- 15360 × 8640
- Max displays
- 4
- Outputs
- 4 DisplayPort 2.1b
- PCIe interface
- PCIe 5.0 ×16
APIs & software
- DirectX
- 12
- Vulkan
- 1.4
- OpenGL
- 4.6
- OpenCL
- 3.0
- CUDA
- Compute 12.0
- Shader model
- 6.6
Video encoding & decoding
| Codec | Encode | Decode |
|---|---|---|
| H.264 / AVC | Supported | Supported |
| H.265 / HEVC | Supported | Supported |
| AV1 | Supported | Supported |
| VP9 | Not supported | Supported |
Encoder: NVENC 9th gen · Decoder: NVDEC 6th gen
Features
- Upscaling
- DLSS Super Resolution, Ray Reconstruction, Frame Generation, Multi Frame Generation, DLSS 5 Neural Rendering
- Also runs
- FSR 3, FSR 3 Frame Generation, XeSS 2, XeSS 2 Frame Generation
- ECC memory
- Yes
Physical
- Reference length
- 267 mm
- Slot width
- 2 slots
- Released
- 2025-03-18
24,064 shader cores feed a 512-bit memory interface delivering 1792 GB/s of peak bandwidth. 188 RT cores handle real-time ray tracing; 752 tensor cores accelerate AI workloads and DLSS Super Resolution. Compare the RTX PRO 6000 Blackwell Max-Q against consumer and workstation cards on the ranking of graphics cards for AI.
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