NVIDIA RTX PRO Blackwell Series
Professional AI & Visualization GPUs
Five GPUs spanning 24GB to 96GB of ECC GDDR7 memory. Up to 4,000 AI TOPS and 125 TFLOPS FP32. Available in all Petronella Technology Group custom workstations.
Complete GPU Specifications
All five NVIDIA RTX PRO Blackwell GPUs compared side by side. Every model features 5th-generation Tensor Cores, 4th-generation RT Cores, and GDDR7 ECC memory.
| Specification | RTX PRO 6000 | RTX PRO 6000 Max-Q | RTX PRO 5000 | RTX PRO 4500 | RTX PRO 4000 |
|---|---|---|---|---|---|
| Memory | 96 GB GDDR7 ECC | 96 GB GDDR7 ECC | 48 GB GDDR7 ECC | 32 GB GDDR7 ECC | 24 GB GDDR7 ECC |
| CUDA Cores | 24,064 | 24,064 | 14,080 | 10,496 | 8,960 |
| Tensor Cores | 5th Generation | 5th Generation | 5th Generation | 5th Generation | 5th Generation |
| RT Cores | 4th Generation | 4th Generation | 4th Generation | 4th Generation | 4th Generation |
| AI Performance (TOPS) | 4,000 | 3,511 | -- | -- | -- |
| FP32 Performance (TFLOPS) | 125 | 110 | -- | -- | -- |
| TDP (Power) | 600W | 300W | 300W | 200W | 140W |
| Form Factor | Dual slot, extended | Dual slot, full height | Dual slot, full height | Dual slot, full height | Single slot, full height |
| Display Outputs | 4x DP 2.1b | 4x DP 2.1b | 4x DP 2.1b | 4x DP 2.1b | 4x DP 2.1b |
| Multi-GPU | Up to 4x | Up to 4x (optimized) | Single | Single | Single |
Visual Comparison
See how each GPU compares across key performance metrics.
GPU Memory (VRAM)
CUDA Cores
Power Consumption (TDP)
Which GPU Is Right for You?
Match the GPU to your workload. Not sure? Call (919) 348-4912 for a free consultation.
RTX PRO 4000
24 GBEntry-level professional GPU with single-slot design
- Entry-level AI inference (7-8B parameter models)
- Basic CAD and 3D visualization
- Compact single-slot form factor (140W)
- Small-scale GPU rendering
RTX PRO 4500
32 GBMid-range professional GPU for serious workloads
- Mid-range AI inference (quantized 13B models)
- Professional CAD and engineering simulation
- Moderate GPU rendering workloads
- Efficient 200W power envelope
RTX PRO 5000
48 GBHigh-end professional GPU for demanding AI and rendering
- Serious AI inference (quantized 70B models)
- Multi-monitor professional rendering
- Large dataset visualization and simulation
- Best single-GPU balance of price and memory
RTX PRO 6000
96 GBMaximum single-GPU performance and memory capacity
- Maximum AI: 70B models at full FP16 precision
- 4,000 AI TOPS, 125 TFLOPS FP32
- Large-scale rendering with massive scene support
- Supports multi-GPU (up to 4x = 384 GB)
RTX PRO 6000 Max-Q
96 GBSame 96GB memory in a power-efficient design -- purpose-built for multi-GPU workstations
- Optimized for 4-GPU configurations (4x in one workstation)
- 300W TDP (half the power of full-size = 1,200W for 4x)
- 3,511 AI TOPS (88% of full-size at 50% power)
- 384 GB total in 4-GPU config for AI training + massive rendering
Available in Our Custom Workstations
Every NVIDIA RTX PRO Blackwell GPU is available in Petronella Technology Group custom workstations, configured for your specific workload.
AI Training Workstations
4x GPUs, up to 384GB VRAM for large-scale model training
View systems →AI Inference Workstations
96-192GB VRAM for running AI models locally
View systems →AI Rack Workstations
Data center-ready in standard 19" rack form factor
View systems →GPU Rendering Workstations
Multi-GPU for Blender, V-Ray, DaVinci Resolve, and more
View systems →Frequently Asked Questions
What is the difference between Blackwell and the previous Ada generation?
What is the difference between workstation GPUs and gaming GPUs?
Do all RTX PRO Blackwell GPUs have ECC memory?
Can I run multiple RTX PRO 6000 Blackwell GPUs in one workstation?
Which RTX PRO Blackwell GPU is best for AI inference?
What display outputs do RTX PRO Blackwell GPUs support?
Get the Right GPU for Your Workload
Our AI hardware specialists will recommend the right RTX PRO Blackwell configuration for your specific requirements. Custom workstations built and deployed by PTG.