Vast.ai
A marketplace where anyone with a spare gaming or server GPU can rent it out, so AI developers get GPU compute at a fraction of the price big cloud providers charge — like Airbnb, but for graphics cards instead of spare rooms.
🔗 Visit Vast.ai
Description
Big cloud providers (AWS, Google, Azure) rent out GPUs at a markup that covers their own massive data centers — but a lot of GPU power sits idle elsewhere, in smaller data centers and even individual machines. Vast.ai connects the two sides: GPU owners list their idle hardware, and developers training or running AI models rent it by the second, often at less than half the price of a traditional cloud, in exchange for less uniform guarantees about uptime than a hyperscaler offers. Vast.ai is a peer-to-peer GPU rental marketplace with three pricing tiers — On-Demand (guaranteed uptime, per-second billing), Interruptible (50%+ cheaper, can be preempted by a higher bidder), and Reserved (up to 50% off for 1/3/6-month commitments). It offers 68+ GPU types from RTX 3060s up to B200s across 40+ data centers, with market-driven pricing that shifts with supply and demand, no minimum usage hours, and no hidden charges. The company, an independent Delaware C Corp founded in 2016, reports 310% growth in 2024 to 17,000+ GPUs across 350+ hosts, is SOC 2 Type I certified, and was named a Fastest Growing Vendor by Ramp and Brex in March 2026.
💬 Our review
The short version: Vast.ai's marketplace model genuinely delivers on cheaper GPU compute — often 50%+ below hyperscaler pricing — which matters a lot for anyone training or running models on a budget, but that price comes with real trade-offs in consistency versus AWS or Google Cloud.
The honest caveat is the Interruptible tier: it's the cheapest option specifically because your job can be kicked off the machine by a higher bidder, which is fine for fault-tolerant batch training but risky for anything that needs to run uninterrupted. Because supply comes from many independent hosts rather than one company's uniform infrastructure, hardware quality and network performance vary machine to machine in a way a single-vendor cloud doesn't have to deal with — worth reading host reviews before committing to a long job. Against newer GPU-cloud entrants like RunPod or Lambda (both already covered elsewhere in this catalog), Vast.ai's differentiator is the peer-to-peer marketplace structure itself, which tends to produce the lowest prices in the category precisely because it isn't running its own data centers. For cost-sensitive, interruption-tolerant workloads (most training jobs with checkpointing), Vast.ai is hard to beat on price; for production inference needing guaranteed uptime, the On-Demand tier or a dedicated cloud is the safer choice.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Pros
Prix souvent 50%+ moins chers que les clouds traditionnels grâce au modèle marketplace
68+ types de GPU disponibles, pas de minimum d'heures
Croissance forte (310% en 2024) et certification SOC 2 Type I
Cons
Le tier le moins cher (Interruptible) peut être préempté par une offre plus élevée
Qualité matérielle et réseau variable selon les hosts individuels
Moins de garanties uniformes qu'un cloud à infrastructure propre (AWS, GCP)
❓ Frequently asked questions
- What is Vast.ai used for?
- Renting GPU compute for AI training and inference from a peer-to-peer marketplace of idle hardware, typically at a much lower price than traditional cloud providers.
- Is Vast.ai reliable enough for production workloads?
- The On-Demand tier offers guaranteed uptime suitable for production; the cheaper Interruptible tier can be preempted by a higher bidder, so it's better suited to fault-tolerant training jobs than uninterrupted production inference.
- Why is Vast.ai cheaper than AWS or Google Cloud?
- It's a marketplace connecting GPU owners (data centers, individuals with spare hardware) directly to renters, cutting out the overhead of running proprietary hyperscale data centers.
- What GPUs are available on Vast.ai?
- Over 68 GPU types, ranging from consumer cards like the RTX 3060 up to data-center-grade B200s, across 40+ data centers worldwide.
- Is it worth the money compared to alternatives?
- For cost-sensitive, interruption-tolerant workloads like most training jobs with checkpointing, Vast.ai's pricing is hard to beat versus hyperscalers or even other GPU clouds. For production inference needing guaranteed uptime, pay for the On-Demand tier or consider a dedicated provider like Lambda or CoreWeave.
- Which tool should you pick for your case?
- Want the lowest possible GPU cost and can tolerate interruptions: Vast.ai's Interruptible tier. Need guaranteed production uptime at marketplace pricing: Vast.ai's On-Demand tier. Want a single-vendor cloud with more uniform hardware guarantees: Lambda or CoreWeave.