Vast.ai review — Joute
Vast.ai review: the decentralized GPU marketplace for ML at minimal cost. Pricing, alternatives, who it's for.
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Vast.ai in brief
The cheapest GPU marketplace for model training and inference. Prices are 5-10x cheaper than AWS or Google Cloud for ML workloads.
- PriceGPU à l'heure
- CategoryCode & Dev
- RecommendedYes
The essentials
- Decentralized GPU marketplace for ML model training and inference
- Pay as you go, typically $0.30-2/hour depending on GPU
- H100, A100, RTX 4090 GPUs from independent providers
- Built for ML researchers, engineers, and AI startups who need GPUs without enterprise contracts
What is Vast.ai?
Vast.ai is a marketplace where independent providers (data centers, repurposed miners) make their GPUs available, and users rent them by the hour. The model is competitive: without cloud intermediaries like AWS or Google Cloud, prices can be 5-10x lower. For training a model, doing inference, or experimenting with open source models, Vast.ai is the most economical alternative.
Strengths
Very low prices
An H100 on Vast.ai can be rented around $2-3/hour vs $10-15/hour on AWS. For long training sessions, the savings are significant.
Large GPU selection
RTX 4090, A100, H100, A6000: the selection is vast depending on availability. Filter by GPU type, VRAM, and location.
Pay by the hour, no commitment
No contract, no minimum. Rent the time you need and pay for what you use.
Limitations
Less reliable independent providers
Vast.ai instances can be interrupted. For critical jobs, stability is lower than AWS or GCP. Design jobs to be resumable.
Limited support
No enterprise support. Community forums are the main resource when something goes wrong.
Pricing
Pay as you go. Prices vary by GPU and provider. Check vast.ai for current prices.
Alternatives
For managed GPU cloud: Lambda Labs, RunPod. For enterprise cloud: AWS p4, GCP A100. For managed inference: Together AI.
Verdict
Vast.ai is the best choice when GPU cost is a critical factor and you can handle potential interruptions. For research and non-critical projects, the savings justify the stability tradeoffs.
FAQ
Can you use Vast.ai for production model inference?
For critical production, availability guarantees are insufficient. Vast.ai is better suited for dev, fine-tuning, and research.
Is data uploaded to Vast.ai secure?
Instances are isolated but running on third-party hardware implies trust in providers. Avoid putting highly sensitive data without encryption.
Does Vast.ai support Docker containers?
Yes, Vast.ai instances run Docker containers. You can use PyTorch, TensorFlow, or custom images.
How do Vast.ai instances compare to RunPod?
Both are similar in concept. Vast.ai generally has more providers and potentially lower prices. RunPod has a more polished UX.
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Screenshots Vast.ai
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Vast.ai : 0/10.
The cheapest GPU marketplace for model training and inference. Prices are 5-10x cheaper than AWS or Google Cloud for ML workloads..
Test Vast.ai yourself
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Vast.ai
GPU à l'heure