Rent NVIDIA RTX PRO 6000 Max-Q GPU by the hour
The NVIDIA RTX PRO 6000 Max-Q is a Blackwell architecture workstation GPU equipped with 96 GB of VRAM and a 300 W power envelope. It delivers about 119.0 TFLOPS of single-precision compute and about 1404 GB/s of memory bandwidth. Rent this GPU on Cloudj with per-hour billing, full SSH access, and ready templates for PyTorch/CUDA, vLLM, Ollama, and ComfyUI.
Specifications
VRAM per GPU
96 GB
Architecture
NVIDIA Blackwell
Compute capability
12
FP32 compute
≈ 119 TFLOPS
Memory bandwidth
≈ 1404 GB/s
Power limit
300 W
Values reported by the infrastructure provider for machines currently listed; real performance varies by machine.
Available configurations
Live stock and prices, updated continuously. The final price is confirmed before you order.
Rent nowWhat the RTX PRO 6000 Max-Q is good for
Large Language Model Inference
Run large language models and long-context workloads entirely within the 96 GB VRAM buffer using pre-configured vLLM or Ollama templates.
Model Fine-Tuning and Training
Utilize compute capability 12.0 and about 119.0 TFLOPS of compute for custom model training and fine-tuning in PyTorch/CUDA.
High-Resolution Generative Media
Execute complex ComfyUI pipelines, multi-model workflows, and large batch generation without encountering memory bottlenecks.
Workstation Rendering and Simulation
Process heavy geometry, high-resolution textures, and scientific simulations backed by about 1404 GB/s of memory bandwidth.
Is it the right GPU for you?
Choose the RTX PRO 6000 Max-Q when your workloads require 96 GB of VRAM and the Blackwell feature set on a single workstation card. Opt for a smaller consumer GPU if your models require less memory, or select a datacenter GPU if your workflow requires higher memory bandwidth than about 1404 GB/s.
Compare with similar GPUs
Frequently asked questions
Rent the RTX PRO 6000 Max-Q by the hour
Create an account, choose a configuration and connect over SSH. Billing stops when you delete the GPU.