Rent an RTX 3080 when 8 GB is too tight but 24 GB is overkill. 10 GB GDDR6X at 760 GB/s is the cheapest card that runs SDXL natively at 1024², Llama-3 8B FP16 inference, and 7B QLoRA fine-tunes. Spun up in under 90 seconds, billed per-minute, paid in BTC, USDT/USDC or CLORE. The graduation card from SD 1.5 hobbyism into real Stable Diffusion XL production.
Three years in, the 3080 is still one of the most rented cards on the network. NVLink-capable, 10 GB, and cheap — ideal for hobbyists, students, and side projects.
10 GB GDDR6X at 760 GB/s is exactly the spec where SDXL stops needing tiled VAE workarounds and starts running natively at 1024² batch-1. Spot floor sits around $0.14/hr — the budget-conscious upgrade path from 3070-class hobbyist work into real diffusion pipelines.
SD 1.5, SDXL, ComfyUI workflows. Blender Cycles with OptiX delivers solid 1080p–4K renders at hobbyist-friendly cost.
vLLM and TGI containers run 7B–13B FP16 models with comfortable batch sizes. The cheapest path to production-grade open-source inference.
Older silicon, but 10 GB is 10 GB. For workloads that fit, the 3080 is the cheapest path to a real GPU. Specs from Nvidia's reference sheet.
// prices are spot-market lows · refreshed every 60 s
Every server is priced by its host. These are the live floors across the marketplace — you'll see hundreds of variants once you're in.
No sales call. No quota request. No three-week procurement. The first four commands are all you need.
Filter the marketplace by RTX 3080, country, GPU count, reliability score, network speed.
Choose a Docker image — PyTorch, vLLM, ComfyUI, Blender — or paste your own.
You get a public endpoint, an SSH key, and Jupyter on port 8888 in under 90 s.
Per-minute billing rounds to the second. Stop the instance and the meter stops with it.
Yes — 10 GB GDDR6X is enough for SDXL at 1024² batch-1, and with tiled VAE you can push to batch-2. For batch-4 production pipelines, step up to a 3090 or 4080 with 16+ GB.
Consumer cards on CLORE.AI cover most hobby and indie workflows: Stable Diffusion 1.5 and SDXL, ComfyUI/Automatic1111, Flux.1, LoRA and QLoRA fine-tuning of 7B-13B LLMs, Whisper transcription, video transcoding, Blender Cycles, and game-server hosting. Anything that fits in 8-32 GB VRAM and runs in Docker runs here. You get full root SSH plus a Jupyter template if you want one.
Cold-start lands in roughly 60-90 seconds for a typical Docker image: server allocation, container pull, GPU passthrough, SSH up. Pre-cached templates (PyTorch, ComfyUI, vLLM, Ollama) are faster because the image is already on the host. Once running you pay per minute, so a 10-minute experiment costs ten minutes of rental, not an hour.
On-demand is a fixed per-hour price the host sets; the rental cannot be revoked while you have funds. Spot is auction-style: you bid, the highest bidder runs, and a higher bidder can preempt you. Spot is typically 30-50% cheaper. CLORE.AI charges 2.5% on spot and 10% on on-demand, split 50/50 with the host.
Spot prices on CLORE.AI usually beat RunPod community pricing because there is no centralized markup; you rent directly from the host with a 2.5% spot fee. Vast.ai is the closest comparison, and on consumer cards CLORE.AI is generally within a few cents per hour. Hold CLORE in your wallet for Proof of Holding and you stack up to 50% off the marketplace fee.
Yes. Point at any registry - Docker Hub, GHCR, Quay, your private registry - then set env vars, port forwards, and your SSH public key in the rent dialog. Templates on the platform are just preset configs; nothing is locked down. You get full root inside the container with GPU passthrough.
10 GB GDDR6X and 760 GB/s bandwidth make the 3080 the entry point for full-resolution SDXL and 7B fine-tuning.
Tiled VAE pushes to batch 2 — the 3080 is the cheapest card that runs SDXL natively at full res.
Read the guide →FP16 8B weights fit with KV cache headroom; switch to INT8 for 13B with offload.
Read the guide →Real-time voice cloning pipeline with 6-second reference samples — production-grade for podcast tooling.
Read the guide →Side-by-side specs across the consumer tier. Click any row to see that GPU.
Step-by-step guides verified on CLORE.AI hardware. Pick a workload, copy the docker image, ship in minutes.
Per-minute payouts in BTC, USDT, USDC or CLORE. No listing fee, no contracts, withdraw any time.
Hosts around the world are accepting workloads right now. Sign up, top up your wallet, and the next hour is yours.