Rent NVIDIA CMP 170HX GPU by the hour
The NVIDIA CMP 170HX is an Ampere-architecture datacenter GPU equipped with 64 GB of VRAM and a 250 W TDP. It delivers about 1516 GB/s of memory bandwidth alongside about 12.1 TFLOPS of single-precision compute at compute capability 8.0. On Cloudj, you can deploy this card with per-hour billing, full SSH access, and ready templates for PyTorch/CUDA, vLLM, Ollama, and ComfyUI.
Specifications
VRAM per GPU
64 GB
Architecture
NVIDIA Ampere
Compute capability
8
FP32 compute
≈ 12.1 TFLOPS
Memory bandwidth
≈ 1516 GB/s
Power limit
250 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 CMP 170HX is good for
Memory-Bound LLM Inference
Serve large language models via vLLM or Ollama by leveraging the 64 GB VRAM capacity and about 1516 GB/s of memory bandwidth.
High-Memory Deep Learning
Run PyTorch/CUDA workloads that require substantial memory capacity and compute capability 8.0 without splitting models across devices.
Complex Image Generation Workflows
Load multiple large diffusion checkpoints and control nets simultaneously in ComfyUI within the 64 GB memory pool.
Data Processing and Simulation
Execute memory-intensive datacenter tasks that benefit from high memory throughput within a 250 W power envelope.
Is it the right GPU for you?
Choose the CMP 170HX when your workload is bottlenecked by memory capacity and bandwidth rather than raw single-precision compute. Opt for a GPU with higher compute throughput if you require faster training iterations, or select a smaller consumer card if your models do not need 64 GB of VRAM.
Frequently asked questions
Rent the CMP 170HX by the hour
Create an account, choose a configuration and connect over SSH. Billing stops when you delete the GPU.