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 ONIE with per-hour billing, SSH access, and ready templates including PyTorch/CUDA, Ollama, vLLM, and ComfyUI.
Specifications
VRAM per GPU
Architecture
Compute capability
FP32 compute
Memory bandwidth
Power limit
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.
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What 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.
Compare with similar GPUs
Frequently asked questions
Is the GTX 1070 Ti suitable for LLM inference and fine-tuning?
With 8 GB of VRAM and compute capability 6.1, the GTX 1070 Ti can handle inference for small, heavily quantized language models using Ollama or vLLM templates. For larger models or full fine-tuning tasks, a GPU with more VRAM and a newer architecture is recommended.
How does the Pascal architecture affect modern AI software?
The GTX 1070 Ti has a CUDA compute capability of 6.1, which supports standard single-precision workloads at about 7.4 TFLOPS. However, some modern AI frameworks and quantization formats require a higher compute capability found on newer GPU generations.
Can I use the GTX 1070 Ti for image generation with ComfyUI?
Yes, you can launch the ready ComfyUI template on ONIE to generate images, provided the model checkpoints and pipelines fit within the 8 GB VRAM limit. Complex workflows or larger diffusion models will require a GPU with a larger memory capacity.
How do billing and instance access work on ONIE?
Rentals are billed on a per-hour basis for the time your instance is active. You can connect directly to your GTX 1070 Ti environment via SSH or start immediately using pre-configured templates like PyTorch/CUDA.
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.
Rent GTX 1070 Ti