Rent high-performance cloud GPUs at low cost with instant deployment for AI, ML, and rendering workloads.
Vast.ai is a GPU infrastructure platform that enables AI agents and developers to rent high-performance cloud GPUs at low cost. It offers real-time pricing, per-second billing, and API-native provisioning across 20,000+ GPUs in 40+ data centers. Users can deploy instances via CLI, Python SDK, or REST API in under five minutes. The platform supports GPU Cloud, Serverless, and Clusters for various AI workloads including training, inference, fine-tuning, and rendering.
Key Features
check_circleReal-time GPU pricing
check_circlePer-second billing
check_circleAPI-native provisioning
check_circleCLI and Python SDK
check_circleREST API
check_circle40+ data centers
check_circle68+ GPU types
check_circleServerless inference
check_circleMulti-node clusters with InfiniBand
check_circlePre-configured model templates
check_circleAutoscaling
check_circleGlobal availability
check_circleSOC 2 certified
Use Cases
lightbulbAI researchers deploy large language models for fine-tuning on H100 GPUs, reducing training time from weeks to days.
lightbulbStartups run batch data processing jobs on spot instances, cutting GPU costs by over 60% compared to on-demand.
lightbulbAI agents autonomously provision compute resources via API, optimizing cost and performance in real-time.
lightbulbMedia teams render high-resolution graphics and animations using distributed GPU clusters, completing projects faster.
lightbulbDevelopers deploy pre-configured open-source models like Gemma and Qwen for inference with zero-ops serverless endpoints.
lightbulbEnterprise teams scale training workloads across 20,000+ GPUs, handling millions of daily user requests without downtime.
lightbulbMedical AI researchers train diagnostic models on diverse datasets, accelerating validation and reducing research-phase costs.
