Blackwell Architecture - 5th Gen Tensor Cores

NVIDIA RTX PROBlackwell Series

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.

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NVIDIA RTX PRO Blackwell GPU family lineup

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.

SpecificationRTX PRO 6000RTX PRO 6000 Max-QRTX PRO 5000RTX PRO 4500RTX PRO 4000
Memory96 GB GDDR7 ECC96 GB GDDR7 ECC48 GB GDDR7 ECC32 GB GDDR7 ECC24 GB GDDR7 ECC
CUDA Cores24,06424,06414,08010,4968,960
Tensor Cores5th Generation5th Generation5th Generation5th Generation5th Generation
RT Cores4th Generation4th Generation4th Generation4th Generation4th Generation
AI Performance (TOPS)4,0003,511------
FP32 Performance (TFLOPS)125110------
TDP (Power)600W300W300W200W140W
Form FactorDual slot, extendedDual slot, full heightDual slot, full heightDual slot, full heightSingle slot, full height
Display Outputs4x DP 2.1b4x DP 2.1b4x DP 2.1b4x DP 2.1b4x DP 2.1b
Multi-GPUUp to 4xUp to 4x (optimized)SingleSingleSingle

Visual Comparison

See how each GPU compares across key performance metrics.

GPU Memory (VRAM)
RTX PRO 6000
96 GB
RTX PRO 6000 MQ
96 GB
RTX PRO 5000
48 GB
RTX PRO 4500
32 GB
RTX PRO 4000
24 GB
CUDA Cores
RTX PRO 6000
24,064
RTX PRO 6000 MQ
24,064
RTX PRO 5000
14,080
RTX PRO 4500
10,496
RTX PRO 4000
8,960
Power Consumption (TDP)
RTX PRO 6000
600W
RTX PRO 6000 MQ
300W
RTX PRO 5000
300W
RTX PRO 4500
200W
RTX PRO 4000
140W

Which GPU Is Right for You?

Match the GPU to your workload. Not sure? Call (919) 348-4912 for a free consultation.

NVIDIA RTX PRO 4000 Blackwell GPU

RTX PRO 4000

24 GB

Entry-level professional GPU with single-slot design

  • Entry-level AI inference (7-8B models)
  • Basic CAD and 3D visualization
  • Compact single-slot form factor (140W)
Call for Pricing: (919) 348-4912
NVIDIA RTX PRO 4500 Blackwell GPU

RTX PRO 4500

32 GB

Mid-range professional GPU for serious workloads

  • Mid-range AI inference (quantized 13B models)
  • Professional CAD and engineering simulation
  • Efficient 200W power envelope
Call for Pricing: (919) 348-4912
NVIDIA RTX PRO 5000 Blackwell GPU

RTX PRO 5000

48 GB

High-end professional GPU for demanding AI and rendering

  • Serious AI inference (quantized 70B models)
  • Large dataset visualization and simulation
  • Best single-GPU balance of price and memory
Call for Pricing: (919) 348-4912
FlagshipNVIDIA RTX PRO 6000 Blackwell GPU

RTX PRO 6000

96 GB

Maximum single-GPU performance and memory capacity

  • Maximum AI: 70B models at full FP16 precision
  • 4,000 AI TOPS, 125 TFLOPS FP32
  • Supports multi-GPU (up to 4x = 384 GB)
Call for Pricing: (919) 348-4912
NVIDIA RTX PRO 6000 Max-Q Blackwell GPU

RTX PRO 6000 Max-Q

96 GB

Same 96GB memory in a power-efficient design -- purpose-built for multi-GPU workstations

  • Optimized for 4-GPU configurations
  • 300W TDP (half the power of full-size)
  • 3,511 AI TOPS (88% of full-size at 50% power)
Call for Pricing: (919) 348-4912

Frequently Asked Questions

What is the difference between Blackwell and the previous Ada generation?
The Blackwell architecture brings 5th-generation Tensor Cores (vs 4th-gen in Ada), 4th-generation RT Cores, GDDR7 memory (vs GDDR6X), and significantly higher AI TOPS. The RTX PRO 6000 Blackwell delivers up to 4,000 AI TOPS versus roughly 1,400 TOPS on the previous-generation RTX 6000 Ada, nearly a 3x improvement. See full specs above.
What is the difference between workstation GPUs and gaming GPUs?
NVIDIA RTX PRO Blackwell GPUs feature ECC memory for error-free computation, ISV certification for professional software (SolidWorks, Revit, Siemens NX), enterprise drivers with long-term stability, support for multi-GPU configurations, and validation for 24/7 operation. Gaming GPUs like the RTX 5090 lack ECC memory, have limited multi-GPU support, and use Game Ready drivers.
Do all RTX PRO Blackwell GPUs have ECC memory?
Yes. All five NVIDIA RTX PRO Blackwell GPUs use GDDR7 with ECC (Error Correction Code). ECC detects and corrects single-bit memory errors, ensuring data integrity for scientific simulation, financial modeling, medical imaging, and long-duration AI training runs.
Can I run multiple RTX PRO 6000 Blackwell GPUs in one workstation?
Yes. The RTX PRO 6000 Max-Q (300W) is specifically designed for multi-GPU configurations, allowing up to 4 GPUs in a single workstation for 384GB total VRAM at a manageable 1,200W combined GPU power. Our AI Training Workstations are purpose-built for both variants.
Which RTX PRO Blackwell GPU is best for AI inference?
It depends on your model size. The RTX PRO 4000 (24GB) handles 7-8B parameter models. The RTX PRO 4500 (32GB) fits quantized 13B models. The RTX PRO 5000 (48GB) runs 70B models in 4-bit quantized form. The RTX PRO 6000 (96GB) handles 70B models at full FP16 precision. For the largest models, multi-GPU configurations provide 192-384GB. Call (919) 348-4912 for a workload assessment.
What display outputs do RTX PRO Blackwell GPUs support?
All five RTX PRO Blackwell GPUs feature 4x DisplayPort 2.1b outputs. DisplayPort 2.1b provides up to 80 Gbps of bandwidth per output, supporting up to four 8K displays at 60Hz or four 4K displays at 240Hz from a single GPU.

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.