NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition

All the power of the RTX PRO 6000 in a density-optimized 300W design — 96GB GDDR7 ECC for multi-GPU workstation and rack configurations.

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Overview

The NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition delivers the full 96GB GDDR7 memory complement of the RTX PRO 6000 in a power-optimized 300W design. This density-focused variant enables multi-GPU workstation configurations and rack-mounted deployments where thermal and power constraints require a more efficient profile.

Built on the same NVIDIA Blackwell architecture, the Max-Q edition features fifth-generation Tensor Cores and fourth-generation RT Cores, providing AI inference, neural rendering, and simulation capabilities in a standard dual-slot form factor that fits virtually any professional workstation chassis.

Key Features

  • 96GB GDDR7 with ECC: Full memory capacity in a power-efficient package
  • 300W TDP: Half the power of the Workstation Edition — enables multi-GPU and dense rack deployments
  • 5th Gen Tensor Cores: AI inference and training with FP4 precision support
  • 4th Gen RT Cores: Up to 2x ray tracing performance vs. previous generation
  • PCIe Gen 5 x16: Full bandwidth for data-intensive pipelines
  • 4x DisplayPort 2.1: Multi-monitor 8K support

Technical Specifications

Specification Details
GPU Architecture NVIDIA Blackwell
Memory 96 GB GDDR7 with ECC
Memory Bandwidth 1,792 GB/s
TDP 300W
Interface PCIe 5.0 x16
Display Outputs 4x DisplayPort 2.1
Form Factor 4.4″ H x 10.5″ L, Dual Slot
Cooling Active

Ideal Use Cases

  • Multi-GPU workstation configurations (up to 4 GPUs) for AI and rendering farms
  • Dense rack-mounted visualization and compute deployments
  • Power-constrained environments requiring maximum memory capacity
  • Enterprise AI development labs with thermal budget considerations

Why Choose This Product?

When you need the full 96GB memory of the RTX PRO 6000 but your workstation or rack design cannot accommodate 600W per GPU, the Max-Q edition is the answer. It enables multi-GPU AI workstations and dense deployments that would be thermally impossible with the full-power variant.

Interested? Contact us for multi-GPU configuration planning and enterprise pricing.

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