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Vast.ai

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GPU infrastructure for AI workloads with on-demand instances, serverless endpoints, and dedicated clusters.

Sitio web:https://vast.ai/
Añadido en:13 jul 2026
Visitantes mensuales:
1.2M
Redes sociales y correo electrónico:
GPU cloudAI infrastructuremachine learningmodel inferenceAI trainingfine-tuning
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Vast.ai
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Información de la herramienta

¿Qué es Vast.ai?

Vast.ai provides programmatic access to GPU infrastructure for AI training, inference, fine-tuning, rendering, transcription, and other compute workloads. It offers real-time pricing, per-second billing, and deployment through a web console, CLI, Python SDK, or REST API.

Características principales

  • GPU Cloud

    Deploy on-demand GPU instances across more than 40 data centers and 20,000+ GPUs through the console, CLI, Python SDK, or API.

  • Serverless Endpoints

    Deploy models as endpoints with automatic benchmarking, GPU optimization, autoscaling to zero, and billing based on compute time.

  • GPU Clusters

    Use dedicated multi-node GPU clusters with InfiniBand networking for large-scale training.

  • Programmatic Provisioning

    Search, filter, deploy, and scale GPU resources through a console, CLI, Python SDK, and REST API.

  • Model Templates

    Start with ready-to-deploy templates for popular open-source models and frameworks.

  • Real-Time Pricing

    View supply-and-demand GPU pricing and query available prices programmatically.

  • Open-Source Framework Support

    Run open-source frameworks such as vLLM, TGI, and WebUI without proprietary licenses or usage fees.

Casos de uso

  • #1

    AI Training and Inference

    Run machine learning workloads, including model training and inference, on rented GPU infrastructure.

  • #2

    Text Generation

    Deploy and run text-generation models using GPU compute.

  • #3

    Image and Video Generation

    Run image- and video-generation workloads on available GPUs.

  • #4

    AI Agents

    Provision and optimize compute infrastructure for AI agent workloads through APIs.

  • #5

    Fine-Tuning

    Run fine-tuning workloads with on-demand GPU resources.

  • #6

    Audio Transcription

    Use GPU infrastructure for audio-to-text transcription workloads.

  • #7

    Batch Data Processing

    Process batch data workloads using scalable GPU infrastructure.

  • #8

    Graphics Rendering

    Run graphics-rendering workloads on rented GPUs.

Lo mejor para:DevelopersAI teamsEnterprisesResearchersAI infrastructure engineers

Planes de precios

Pricing is determined by supply and demand across available GPUs. The official source states that users can start with as little as $5 and do not need contracts or sales calls. A free tier and fixed subscription plans are not clearly published by the official source.

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Preguntas frecuentes

What is Vast.ai?
Vast.ai is a GPU infrastructure platform for deploying and scaling AI workloads on on-demand GPUs, serverless endpoints, and dedicated clusters.
How does Vast.ai pricing work?
Vast.ai uses supply-and-demand pricing for available GPUs and bills usage per second. The official source states that users can start with as little as $5.
How can I provision GPUs on Vast.ai?
You can search, filter, deploy, and scale GPU resources through the web console, CLI, Python SDK, or REST API.
Does Vast.ai support serverless inference?
Yes. Vast.ai provides serverless endpoints with automatic benchmarking and optimization across GPU types, autoscaling to zero, and billing based on compute time.
Can Vast.ai be used for large-scale training?
Yes. Vast.ai offers dedicated multi-node GPU clusters with InfiniBand networking for large-scale training.
Which frameworks integrate with Vast.ai?
The official source identifies support for open-source frameworks including vLLM, TGI, and WebUI.
Does Vast.ai offer a free plan?
A free tier is not clearly published by the official source. The available pricing information describes paid, usage-based GPU infrastructure.

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Información de la herramienta

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CategoríaOtros
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GPU cloudAI infrastructuremachine learningmodel inferenceAI trainingfine-tuning
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Última actualización16 jul 2026
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