Rent NVIDIA RTX 5070 Ti GPU by the hour
The NVIDIA RTX 5070 Ti is a consumer GPU built on the Blackwell architecture with 16 GB of VRAM and compute capability 12.0. On Cloudj, it delivers about 44.3 TFLOPS of standard floating-point compute and about 734 GB/s of memory bandwidth within a 300 W power envelope. You can deploy it with per-hour billing, full SSH access, and pre-configured templates for PyTorch/CUDA, vLLM, Ollama, and ComfyUI.
Specifications
VRAM per GPU
16 GB
Architecture
NVIDIA Blackwell
Compute capability
12
FP32 compute
≈ 44.3 TFLOPS
Memory bandwidth
≈ 734 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 5070 Ti is good for
Quantized LLM Inference
Run small and medium language models via Ollama or vLLM using the 16 GB VRAM capacity and about 734 GB/s memory bandwidth.
Generative Image Workflows
Generate images and test diffusion pipelines in ComfyUI on a Blackwell consumer GPU with about 44.3 TFLOPS of compute.
Parameter-Efficient Fine-Tuning
Train LoRA adapters and fine-tune compact neural networks in PyTorch/CUDA while staying within the 16 GB memory limit.
Blackwell Architecture Prototyping
Develop, compile, and test GPU kernels targeting compute capability 12.0 before scaling to larger hardware.
Is it the right GPU for you?
Choose the RTX 5070 Ti if you need a Blackwell GPU with 16 GB of VRAM for inference, image generation, or code prototyping. Opt for a GPU with more VRAM if your models or batch sizes exceed 16 GB, or a smaller consumer GPU for lightweight debugging and basic tasks.
Frequently asked questions
Rent the RTX 5070 Ti by the hour
Create an account, choose a configuration and connect over SSH. Billing stops when you delete the GPU.