Vast.AI

What is Vast.AI?

Vast.AI is a decentralized GPU rental marketplace that provides instant access to high-performance cloud GPUs at competitive prices. It is designed for AI, machine learning, deep learning, and rendering workloads, offering flexible pricing with per-second billing and real-time market rates. The platform features an API-native provisioning system that allows developers and AI agents to autonomously design, procure, and optimize compute resources. With over 20,000 GPUs available across 40+ data centers worldwide, users can filter by model, VRAM, price, and availability via the console or API, and launch instances in seconds.

Key features include GPU Cloud for full control, Serverless for zero-ops inference with autoscaling to zero, and Clusters for large-scale training with InfiniBand networking. The platform supports a wide range of workloads, from training and fine-tuning to inference and rendering. Pre-configured templates for popular open-source models like Kimi K2.6 and Gemma 4 are available for quick deployment. Users can start with as little as $5 and get from sign-up to running GPU workloads in under five minutes. The same API used for deployment is also used by AI agents for procurement and optimization at scale. Vast.AI offers both a CLI and Python SDK, making it easy to integrate into existing workflows. Trusted by developers and AI teams worldwide, Vast.AI reduces GPU costs significantly—users report savings of over 60% compared to traditional cloud providers. The platform is transparent, with prices set by supply and demand, and is programmatically queryable for real-time optimization. Whether for individual developers or large-scale AI operations, Vast.AI provides a cost-effective, flexible, and scalable solution for all GPU computing needs.

Use Cases

Key Features

decentralized GPU marketplace per second billing API native provisioning real time market rates serverless inference cluster training with InfiniBand pre configured model templates instant instance launch zero ops autoscaling multi data center availability

Who is it for?

AI researchers, ML engineers, deep learning practitioners, rendering artists, developers, AI agents, platform teams, startups

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