Rent an RTX 3090 in the cloud — dedicated, from $0.08/hr

RTX 3090 rental price: pick how flexible you can be

If you want to rent an RTX 3090, the first question is usually the hourly cost — and on EponEdge that depends on one thing: whether your job can tolerate a pause. Guaranteed instances cost $0.25/GPU/hr and are never paused, running at full speed even through grid stress events. Balanced costs $0.12 and is paused only during severe grid stress (at least 50% curtailment), which is rare in practice. Flexible costs $0.08 and follows clean-power availability: first to pause on any grid event, last to resume — the cheapest and lowest-carbon way to run.

Pauses are designed to be painless. Instances resume with processes and GPU memory intact, paused time is never billed, and every instance keeps the rate it launched at. Combined with per-second billing, a twenty-minute experiment costs you twenty minutes — not a rounded-up hour. See full pricing for details.

What a 24 GB VRAM cloud GPU actually handles

The RTX 3090 remains a sweet spot for a reason: 10,496 CUDA cores on the Ampere architecture, 24 GB of GDDR6X at 936 GB/s, and roughly 35.6 TFLOPS of FP32 compute. In practical terms, that 24 GB comfortably covers QLoRA fine-tuning up to around 13B parameters, LoRA on ~7B models, and full fine-tuning only for small models. For serving, quantized or FP16 LLMs in the 7B–13B range fit well, and Stable Diffusion 1.5, SDXL and Flux all run happily. To be equally clear about the ceiling: this is not the card for 70B-parameter training runs or H100-class distributed jobs — if that is your workload, a single 3090 is the wrong rental, here or anywhere.

Renting an RTX 3090 here vs. on a GPU marketplace

Marketplaces like Vast.ai, Clore or RunPod aggregate other people's hardware, and their spot prices can undercut ours — we won't pretend otherwise. What you trade away is predictability and jurisdiction: marketplace machines vary in host quality, and your data lands wherever the host happens to be. EponEdge runs its own dedicated RTX 3090s in renewable-powered micro-datacenters in Belgium, under EU jurisdiction, GDPR-native, with no exposure to instruments like the US CLOUD Act. For client work, regulated data or anything you'd rather not ship to an anonymous host, that difference is the product. More on the sovereignty side at EU sovereign cloud.

From signup to CUDA in minutes

Create an account on the EponEdge console, load prepaid credit, choose a tier and launch. Every instance ships with root SSH and JupyterLab, and the full REST API lets you script launches and teardowns around your pipeline. Need reserved capacity, multi-node clusters or colocation? Talk to sales.