NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation

  • Top GPU for AI, simulation and advanced graphics

  • 96 GB GDDR7 with ECC - working with the largest models and datasets

  • 24,064 CUDA cores for extreme computing power

  • 3511 TOPS AI - high performance for inference and generative AI

  • 110 TFLOPS FP32 - demanding computation and simulation

  • Support for 4 × MIG - multiple GPU environments simultaneously

  • Scaling from 1 to 4 GPUs in a single workstation

  • 4 × DisplayPort 2.1 - advanced visualisation workstations

  • Format FHFL Dual Slot, Power consumption 300 W

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Product intended for professional use only
NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation

NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation

Description

 
 
 
 
 
 
 
The most powerful GPU for workstations

NVIDIA RTX PRO 6000 Blackwell Max-Q - maximum AI and simulation performance

NVIDIA RTX PRO 6000 Blackwell Max-Q is the ultimate GPU for professional workstations, designed to handle the most demanding AI, simulation and graphics environments.

With 96 GB of GDDR7 memory with ECC and a huge number of CUDA cores, the card enables you to work with the largest AI models, complex simulations and projects requiring the highest precision.

RTX PRO 6000 Blackwell Max-Q is the solution for the most demanding applications, offering maximum memory, highest AI performance and scalability within a single workstation.

NVIDIA Blackwell

The NVIDIA Blackwell architecture is designed for environments where performance, scalability, and support for advanced AI and simulation workloads are critical.

RTX PRO 6000 Blackwell Max-Q offers:

  • 24,064 CUDA cores for extreme parallel computing
  • 3511 TOPS AI for generative AI and inference
  • 110 TFLOPS FP32 for simulation and scientific computing
24,064
CUDA cores
3511
TOPS AI
110 TFLOPS
FP32
96 GB
GDDR7 ECC memory

AI environments and large models

RTX PRO 6000 Blackwell Max-Q enables large language models and advanced AI pipelines to run locally, without the need for cloud infrastructure.

  • LLM and generative AI
  • advanced data analysis
  • AI inference and model training
  • image and video processing

Multi-Instance GPU (MIG)

Support for 4 × MIG enables the GPU to be split into independent instances, allowing multiple users to work simultaneously or run multiple AI environments.

This solution increases resource efficiency and optimises workloads in development and production environments.

 

Workstation scaling

The ability to configure systems with 1 to 4 GPUs allows you to significantly increase computing power depending on your project needs.

This approach enables you to build high-performance AI, simulation and visualisation environments on a single platform.

 

Professional integration

The FHFL Dual Slot format and 4 × DisplayPort 2.1 allow integration into advanced workstations and multi-monitor configurations.

Maximum power consumption of 300 W ensures high performance with optimal energy efficiency.

Technical Specification

NVIDIA Architecture NVIDIA Blackwell
AI TOPS 3511
Tensor Cores 5th Gen
Ray Tracing Cores 4th Gen
NVIDIA Encoder (NVENC) 4x 9th Gen
NVIDIA Decoder (NVDEC) 4x 6th Gen
Memory Configuration 96 GB GDDR7 with error-correcting code (ECC)
Memory Bandwidth 1792 GB/sec
Max Power Consumption 300 W

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