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NVIDIA RTX Pro 5000 Blackwell

Product Overview​

The NVIDIA RTX Pro 5000 Blackwell is a professional workstation GPU launched by NVIDIA in 2025 based on the Blackwell architecture, a trimmed-down version of the RTX Pro 6000 Blackwell. With 48GB GDDR7 ECC memory (plus a 72GB version) and a 300W TDP, it retains 5th-generation Tensor Cores and FP4 inference capability — a cost-effective workstation card for local LLM development and professional graphics.

Strategic position: Between the RTX Pro 6000 (96GB) and the consumer RTX 5090 (32GB), the RTX Pro 5000 fills the mid-range AI workstation gap with 48GB ECC memory + professional drivers, balancing memory capacity and cost.

Core Specifications​

ParameterValue
ArchitectureNVIDIA Blackwell 2.0 (GB202)
ProcessTSMC 4nm
Memory48 GB GDDR7 ECC (plus a 72GB version)
Memory TypeGDDR7
Memory Bandwidth~1.2 TB/s (not published by vendor; estimated from bus width)
FP32Not disclosed (estimated ~100 TFLOPS)
FP16/BF16 Tensor Core1,032 TFLOPS (sparse)
FP4 Tensor CoreNot disclosed (estimated ~2,000 TFLOPS inference)
TDP300 W
PCIeGen 5 x16
ECCSupported
MIGSupported
Release2025
Priceapprox. ¥40,000 - ¥45,000 (China market)

Comparison with RTX Pro 6000​

MetricRTX Pro 5000 BlackwellRTX Pro 6000 BlackwellDifference
Memory48GB GDDR796GB GDDR7-50%
TDP300W600W-50%
FP32Not disclosed125 TFLOPS—
PCIeGen 5Gen 5Identical

Key Features​

  • 48GB GDDR7 ECC memory: local inference of 70B-class models
  • 5th Gen Tensor Cores: FP4 inference support
  • Professional drivers + ECC: the choice for enterprise AI workstation stability
  • PCIe 5.0: bandwidth upgrade

Vendor Information​

ParameterValue
CompanyNVIDIA Corporation
Websitehttps://www.nvidia.com
Release2025
ArchitectureBlackwell 2.0

Use Cases​

  • ✅ AI development workstations (training, fine-tuning, inference)
  • ✅ Local LLM inference (70B capable)
  • ✅ Professional graphics (CAD, 3D rendering)
  • ✅ Data science (with ECC memory)