Rent NVIDIA RTX 4080S GPU by the hour
The NVIDIA RTX 4080S is a consumer-segment GPU built on the Ada Lovelace architecture, offering 16 GB of VRAM and compute capability 8.9. In ONIE instances, it delivers about 50.9 TFLOPS of standard floating-point performance and about 600 GB/s of memory bandwidth within a 320 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
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
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What the RTX 4080S is good for
Quantized LLM Inference
Run small to medium language models using vLLM or Ollama templates within the 16 GB VRAM budget and about 600 GB/s of memory bandwidth.
Diffusion Image Generation
Execute ComfyUI workflows and image synthesis pipelines using the Ada Lovelace architecture and about 50.9 TFLOPS of compute.
PyTorch Model Prototyping
Develop, test, and debug deep learning code on compute capability 8.9 hardware before scaling up to workstation or datacenter GPUs.
LoRA Fine-Tuning
Perform parameter-efficient fine-tuning on compact models and datasets that comfortably fit inside 16 GB of memory.
Is it the right GPU for you?
Pick the RTX 4080S when your workload needs modern Ada Lovelace support and fits within a 16 GB consumer memory footprint. Choose a smaller GPU for lightweight testing that requires less memory, or step up to a larger consumer, workstation, or datacenter card when unquantized models or large batch sizes exceed 16 GB of VRAM.
Compare with similar GPUs
Frequently asked questions
Is the RTX 4080S suitable for LLM inference and fine-tuning?
With 16 GB of VRAM and about 600 GB/s of memory bandwidth, it handles inference on small or quantized models and parameter-efficient fine-tuning like LoRA. Full fine-tuning of larger models will require a GPU with a higher memory capacity.
How does the RTX 4080S compare to adjacent GPU tiers?
As a 16 GB Ada Lovelace consumer card delivering about 50.9 TFLOPS within a 320 W TDP, it sits above entry-level consumer GPUs with smaller memory buffers. It has less VRAM and memory bandwidth than high-end consumer models or workstation and datacenter GPUs designed for heavier workloads.
What software templates and connection methods are supported on ONIE?
Instances include direct SSH access and ready-to-use templates for PyTorch/CUDA, vLLM, Ollama, and ComfyUI. The card supports software targeting CUDA compute capability 8.9.
How does billing work for an RTX 4080S rental?
ONIE uses per-hour billing for RTX 4080S instances, so you only pay for the time your instance is active.
Rent the RTX 4080S by the hour
Create an account, choose a configuration and connect over SSH. Billing stops when you delete the GPU.
Rent RTX 4080S