Rent NVIDIA RTX PRO 6000 Blackwell GPUs

Rent an RTX PRO 6000 on Akash

As of October 20, 2026, on-demand RTX PRO 6000 Blackwell GPUs on Akash start at $1.44 per GPU-hour.

What the RTX PRO 6000 Blackwell brings

• 96 GB of GDDR7 with ECC — enough to run large models on one card without splitting them across GPUs.
• 5th-gen Tensor Cores with FP4: up to 4,000 AI TOPS (FP4, with sparsity), and NVIDIA rates the Tensor Cores at up to 3× the previous generation.
• 4th-gen RT Cores: 382 TFLOPS of ray tracing, up to 2× the previous generation.
• 24,064 CUDA cores and 126 TFLOPS of FP32.
• MIG: split one card into up to 4 isolated GPUs of 24 GB each.
• Video: 4 NVENC and 4 NVDEC engines for encoding and transcoding.

Is the RTX PRO 6000 the right GPU for you?

Choose the RTX PRO 6000 when you need lots of memory on one card plus graphics and ray tracing.

• Choose the RTX PRO 6000

  if your model needs up to 96 GB, you mix AI with rendering or simulation, or you want ECC memory.

• Choose the RTX 5090

  if 32 GB is enough for your model.

• Choose the H100 or H200

  if you need NVLink, HBM bandwidth and multi-GPU training. See H100 pricing →

What is the RTX PRO 6000 Blackwell used for?

The NVIDIA RTX PRO 6000 Blackwell is used for AI inference, fine-tuning, 3D rendering and simulation. Its 96 GB of memory and Blackwell Tensor and RT Cores make it suited to:

• Local LLMs and agentic AI

  Run autonomous AI agents, inference and LLM fine-tuning on one GPU; 96 GB holds 70B-class models.

• AI model prototyping and training

  Up to 4,000 FP4 AI TOPS with sparsity; GE HealthCare reports 2.5× faster AI training than RTX 6000 Ada.

• Physical AI and world models

  Supported hardware for NVIDIA Cosmos world-foundation-model microservices.

• Rendering and visualization

  3D modeling, animation, virtual production and architectural visualization with RTX Mega Geometry and DLSS 4.

• Engineering and scientific computing

  Genomic sequencing, drug discovery and seismic modeling; Sintavia reports 4.5× faster CFD than a 64-core CPU.

• Video and streaming pipelines

  4 NVENC and 4 NVDEC engines for livestreaming, real-time editing and 4K/8K workflows.

Not ideal for: multi-node training. The card has no NVLink; choose H100, H200 or B200 for large distributed training.

Deploy an RTX PRO 6000 in three steps

1. 1

   Add your app. Pick a template or paste a Docker image.

2. 2

   Choose RTX PRO 6000. Turn on GPU, select RTX PRO 6000 and check current provider capacity.

3. 3

   Deploy. Request quotes, accept one and start your workload.

NVIDIA RTX PRO 6000 Blackwell Workstation Edition specifications

NVIDIA RTX PRO 6000 Blackwell FAQ