Vast.ai
GPU computing power rental platform, officially claiming to aggregate more than 20,000 graphics cards and over 40 data centers. It offers real-time pricing based on supply and demand and supports second-by-second billing, and can be used for tasks such as model training, inference, fine-tuning, and rendering.
Updated: 2026-10-30
What is Vast.ai?
Vast.ai is a GPU rental marketplace. Its official website positions it as an AI infrastructure layer for agents-the layer that enables agents to independently apply for and optimize computing power. Unlike the fixed-specification instances provided by cloud vendors, it aggregates graphics cards from data centers around the world into a single marketplace with real-time pricing based on supply and demand. Developers can pay by the second and exit at any time. The official website displays three deployment modes side by side: GPU Cloud, Serverless, and Clusters, and provides a model library that can be directly deployed. The website emphasizes that it is tailored for agents, with native and programmably accessible interfaces, and claims to have obtained SOC 2 certification.
Who is it for?
- Individual developers who perform model fine-tuning and need to rent high-video-memory GPUs for short periods
- Teams running batch inference or rendering who want to control costs with per-second billing
- Automated workflows that use scripts or agents to automatically apply for and release computing power
- Researchers who need rare GPU models that are hard to find on public cloud platforms
- Startup teams that want to validate their workflows on low-cost GPU models first before deciding whether to make long-term investments
Key features
7GPU Cloud
The official website states that the platform aggregates more than 20,000 GPUs, over forty data centers, and more than sixty GPU models, available for rental on demand.
Serverless and Clusters
Two deployment modes listed by the official, catering for operation-free invocation and grouped computing power respectively.
Real-time pricing
Pricing is determined by supply and demand, and the official states that it supports programmatic querying.
Per-second billing
Billed by the second, short tasks do not need to be paid by the full hour.
Model Library
The official website lists popular models that can be deployed directly, and the page displays the names of multiple open-source models.
Python SDK / CLI / API
The official provides command-line, SDK and interface documentation to facilitate scripted scheduling.
Use Cases
The official website lists scenarios such as text generation, image and video generation, intelligent agents, batch processing, speech-to-text transcription, fine-tuning, and graphics rendering.
How to use Vast.ai
- 1First rent a short-term instance to set up the environment, confirm that the drivers, images and ports are working properly, and then deploy machines in batches
- 2Market prices fluctuate with supply and demand; for long tasks, it is recommended to save progress regularly to avoid preemption or price increases midway
- 3Per-second billing does not mean low cost; remember to manually release the instance after running it, and forgetting to shut it down is the main cause of overspending
- 4Store data on a third-party host; if sensitive data is involved, please confirm the isolation and deletion strategy in advance
- 5The official website indicates security and compliance certifications; it is recommended that enterprises recheck against their own internal lists before making purchases.
Traffic & popularity
Data month Sep 2026
Vast.ai receives about 3.5M visits per month and ranks #12,073 worldwide.
Monthly visits
12 monthsTraffic sources
- Direct73.7%
- Search16.9%
- Social3.9%
- Referrals2.5%
- AI assistants1.8%
- Other1.1%
Top countries
- United States14.3%
- Thailand5.8%
- China5.8%
- India5.3%
- Brazil4.1%
Estimated from third-party traffic data.
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