NVIDIA RTX PRO 6000 Blackwell
0
CUDA Cores
96GB
VRAM
1792
GB/s
Technical Specifications
0
CUDA Cores
2100
Base MHz
2100
Boost MHz
96GB GDDR7
512-bit bus
Performance
40
FP32 TFLOPS
80
FP16 TFLOPS
300W
TDP
Cloud Availability
2
Available Instances
$0.27/hr
Starting Price
Detailed Specifications
| Architecture | Blackwell (Unknown) |
| Release Date | 2025-03-01 |
| Launch Price | $8,999.00 |
| Process | 5nm |
| Transistors | 92 Billion |
AI Features
Gen 3
Tensor Cores
Disabled
Transformer Engine
Not Supported
Flash Attention
About RTX PRO 6000 Blackwell GPU
The NVIDIA RTX PRO 6000 Blackwell was introduced in 2025 on the Blackwell architecture. Its specification combines its vendor-specific compute units with 96GB of GDDR7, which defines both the workloads it can run and the batch sizes it can hold.
Based on its 96GB memory capacity, the RTX PRO 6000 Blackwell is best evaluated for large-model training, high-batch inference, and memory-intensive scientific computing. Always size the model, optimizer state, KV cache, and framework overhead together rather than choosing a GPU from core count alone.
GPUvec currently tracks 2 cloud listings for the RTX PRO 6000 Blackwell, with the lowest observed hourly rate at $0.27. Prices and availability can change by provider, region, and instance configuration, so verify the final rate before starting a workload.
For software planning, the RTX PRO 6000 Blackwell combines 1,792 GB/s of memory bandwidth, CUDA compute capability the latest, and a 5nm manufacturing process. Confirm the minimum CUDA, PyTorch, TensorFlow, or driver version required by your application before renting or purchasing hardware.
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External Resources
Learn more about GPUs from these authoritative sources:
Official CUDA programming guide
NVIDIA GPU Specifications →Official NVIDIA GPU specs
TechPowerUp GPU Database →Comprehensive GPU specifications
CUDA Compute Capability Guide →GPU compute capability reference
What You Need to Know About the RTX PRO 6000 Blackwell
Complete Specifications for the NVIDIA RTX PRO 6000 Blackwell
The NVIDIA RTX PRO 6000 Blackwell uses the Blackwell architecture and combines vendor-specific compute units with 96GB of GDDR7. GPUvec records 1,792 GB/s memory bandwidth alongside architecture, release date, process node, accelerator features, and physical specifications so the page can be evaluated from source data instead of model-name assumptions.
Compare NVIDIA RTX PRO 6000 Blackwell Cloud Rental Prices per Hour
GPUvec currently tracks 2 cloud listings, with an observed starting rate of $0.27 per hour. Provider rates can vary by region, host configuration, billing model, and availability. Use the provider directory and related-GPU links to compare an available alternative when this exact accelerator is not listed.
Is the NVIDIA RTX PRO 6000 Blackwell the Right GPU for Your AI Workload?
Start with the 96GB memory limit, then evaluate 1,792 GB/s memory bandwidth, compute features, and software compatibility for your workload. Model weights, KV cache, activations, optimizer state, and framework overhead all consume memory. Compare this page with related accelerators rather than assuming that a higher core count alone guarantees a better training or inference result.
Top GPUs for Training and Inference
| Category | Rank 1 | Rank 2 | Rank 3 |
|---|---|---|---|
| Best for Training | NVIDIA H200 | NVIDIA H100 | NVIDIA B200 |
| Best for Inference | NVIDIA A40 | NVIDIA A100 | NVIDIA A10 |
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