Salad
Distributed inference cloud — RTX 3090/4090 from $0.03/h
- Absurdly cheap — RTX 3090 from $0.03/h
- Massive horizontal scale (1000+ nodes)
RTX 4090 cloud comparison · April 2026
The consumer-tier sweet spot — 4 clouds offer RTX 4090 (24GB) from $0.34/h. Best value for SDXL/FLUX, Llama 3 8B and hobby ML.
The RTX 4090 is the consumer-tier sweet spot for AI/ML in 2026. With 24 GB of GDDR6X VRAM and Ada Lovelace architecture, it punches well above its consumer-card weight class — running Llama 3 8B, Stable Diffusion 3 / FLUX, Mistral 7B and most ≤13B models comfortably.
4 GPU clouds offer 4090 instances. Pricing spans $0.34/h to $1.20/h for the same card. The marketplace clouds (Vast.ai, RunPod Community) offer 4090s at consumer-rental prices because providers monetize idle gaming hardware.
For hobbyists, indie devs and Stable Diffusion enthusiasts, the RTX 4090 is the highest-value GPU on the market — paying for an A100 for these workloads usually doesn't pay back.
| Provider | Starting Price | Top GPUs | Highlights | Rating | CTA |
|---|---|---|---|---|---|
| Salad | from $0.03/h | RTX 3090, RTX 4090, RTX 3080 ≤24GB |
| ★★★★☆ | View pricing |
| Vast.ai Editor's Choice | from $0.10/h | RTX 3090, RTX 4090, A100 ≤80GB |
| ★★★★☆ | View pricing |
| RunPod Editor's Choice | from $0.20/h | RTX 3090, RTX 4090, A100 80GB ≤80GB |
| ★★★★★ | View pricing |
| TensorDock | from $0.21/h | RTX 4090, RTX 3090, A100 80GB ≤80GB |
| ★★★★☆ | View pricing |
Distributed inference cloud — RTX 3090/4090 from $0.03/h
Cheapest GPU cloud — peer-to-peer marketplace for budget training
Best value GPU cloud — huge selection, community + secure cloud
Marketplace GPU cloud — RTX 4090 from $0.21/h, H100 from $1.99/h
Vast.ai community starts at $0.34/h for interruptible 4090s. RunPod Community is $0.39/h with better reliability. For production: RunPod Secure 4090 at $0.59/h.
Llama 3 8B fine-tuning fits comfortably on a single 4090 (24 GB) with QLoRA. Llama 3 70B does NOT fit — you need ≥40 GB VRAM (A100 40GB or H100). For full Llama 3 8B fine-tuning: 2× 4090 with FSDP works but is slower than a single A100.
For SD/SDXL/FLUX inference and LoRA training, the 4090 is faster (Ada Lovelace + higher clock) and ~3× cheaper than A100 40GB. A100 only wins for very large batches or training on millions of images. Default to 4090 for image AI.
Break-even point: a $1,500 RTX 4090 pays for itself vs $0.39/h cloud rental at ~3,800 hours of usage (~5 months 24/7). For sporadic use, renting wins; for always-on workloads, buying wins. Add electricity (~$300/year at 24/7) to the buy side.
Community 4090s on Vast.ai and RunPod Community use consumer hardware with variable uptime — fine for batch jobs and tinkering, not for production APIs. RunPod Secure 4090s run in datacenter-class facilities with uptime SLAs.
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