Rent NVIDIA GTX 1070 Ti GPU by the hour
The NVIDIA GTX 1070 Ti is a consumer GPU built on the Pascal architecture with 8 GB of VRAM and compute capability 6.1. It delivers about 7.4 TFLOPS of single-precision compute and about 193 GB/s of memory bandwidth within a 180 W power envelope. Rent this GPU on Cloudj with per-hour billing, SSH access, and ready templates including PyTorch/CUDA, Ollama, vLLM, and ComfyUI.
Specifications
VRAM per GPU
8 GB
Architecture
NVIDIA Pascal
Compute capability
6.1
FP32 compute
≈ 7.4 TFLOPS
Memory bandwidth
≈ 193 GB/s
Power limit
180 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 GTX 1070 Ti is good for
Prototyping and CUDA Development
Test and debug GPU-accelerated code using SSH access and the pre-configured PyTorch/CUDA template on a Pascal architecture device.
Compact Language Model Inference
Run quantized or compact language models that fit within 8 GB of VRAM using ready templates for Ollama or vLLM.
Entry-Level Image Generation
Deploy ComfyUI for basic diffusion workflows and standard-resolution image synthesis that fit inside an 8 GB memory footprint.
Classical Machine Learning Training
Train small neural networks and traditional machine learning algorithms utilizing about 7.4 TFLOPS of single-precision compute.
Is it the right GPU for you?
Choose the GTX 1070 Ti for lightweight development, educational projects, and inference workloads that comfortably fit into 8 GB of VRAM and run on compute capability 6.1. Opt for a GPU with more VRAM and a newer architecture if you need to fine-tune large models, or select a smaller GPU if you only require minimal display or basic compute tasks.
Frequently asked questions
Rent the GTX 1070 Ti by the hour
Create an account, choose a configuration and connect over SSH. Billing stops when you delete the GPU.