GPU Cloud · NVIDIA · Blackwell

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 ONIE, 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

12.0

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

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What 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.

Compare with similar GPUs

GPUVRAM per GPUArchitectureFP32 computeFrom / hourDetails
RTX 5070 Ti16 GBBlackwell≈ 44.3 TFLOPS—
RTX 4070S Ti16 GBAda Lovelace≈ 42.6 TFLOPS—Details
RTX 408016 GBAda Lovelace≈ 48.6 TFLOPS—Details
RTX 4080S16 GBAda Lovelace≈ 50.9 TFLOPS—Details

Frequently asked questions

Is the RTX 5070 Ti suitable for LLM inference and fine-tuning?

With 16 GB of VRAM and about 734 GB/s of memory bandwidth, it handles inference for compact or quantized models and parameter-efficient fine-tuning such as LoRA. Full fine-tuning of larger models will require a GPU with a higher VRAM capacity.

What software templates are available on ONIE for this GPU?

You can launch the RTX 5070 Ti using ready templates including PyTorch/CUDA, vLLM, Ollama, and ComfyUI. Full SSH access is also provided so you can customize your environment for compute capability 12.0.

How does the RTX 5070 Ti compare to other GPUs in the lineup?

As a consumer Blackwell card with 16 GB of VRAM, a 300 W TDP, and about 44.3 TFLOPS of compute, it sits between entry-level consumer cards with less memory and workstation or datacenter GPUs that offer larger VRAM pools.

How does billing work when renting the RTX 5070 Ti on ONIE?

Instances are billed on a per-hour basis. You can connect via SSH to run your workloads and terminate the instance when your session is complete.

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.

Rent RTX 5070 Ti

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