Rent an RTX 3090 for the cheapest 24 GB VRAM on the consumer tier. 24 GB GDDR6X at 936 GB/s — runs Flux production at 1024², 13B QLoRA fine-tuning with bitsandbytes, and dual-card 70B INT4 serving via ExLlamaV2 with tensor parallel. Spun up in under 90 seconds, billed per-minute, paid in BTC, USDT/USDC or CLORE. The legacy value pick of 2026.
Three years in, the 3090 is still one of the most rented cards on the network. NVLink-capable, 24 GB, and cheap — ideal for hobbyists, students, and side projects.
Same VRAM ceiling as a 4090 at half the price. No FP8 and slower bandwidth, but for budget-conscious 13B–34B QLoRA, Flux production, and dual-card 70B INT4 the 3090 is the value pick — and there is plenty of supply on the spot market.
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 24 GB is 24 GB. For workloads that fit, the 3090 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 3090, 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.
The 3090 has the same 24 GB VRAM as the 4090 at roughly 60% of the rental price. Slower memory bandwidth (936 vs 1,008 GB/s) and no FP8, but for budget-sensitive 24 GB workloads it's the value pick.
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.
24 GB on a consumer card unlocks 13B–34B QLoRA, Flux production, and dual-GPU 70B INT4 — the legacy value pick of 2026.
24 GB lets you keep T5-XXL encoder resident; cuts cold-start latency vs swapping on a 16 GB card.
Read the guide →Standard 13B QLoRA fits with 4K context and gradient checkpointing — a complete fine-tune in a few hours of spot.
Read the guide →Two 3090s cost less than a single 4090 and serve 70B INT4 with 32K context for solo developers.
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.