Inferless
Inferless
Deploy machine learning models on serverless GPUs in minutes.

Inferless offers blazing fast serverless GPU inference to deploy ML models effortlessly. It's designed for scalable and effortless custom machine learning model deployment, enabling companies to run custom models built on open-source frameworks quickly and affordably.

Paid
$0.33/hr
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How to use Inferless?

Inferless simplifies the deployment of machine learning models by providing serverless GPU infrastructure. Users can deploy models from Hugging Face, Git, Docker, or CLI, choose automatic redeploy, and start shipping in minutes. It's ideal for handling spiky and unpredictable workloads with minimal overhead.

Inferless 's Core Features

  • Deploy ML models in minutes with serverless GPUs.
  • Auto-scales from zero to hundreds of GPUs at a click.
  • Custom runtime for software and dependency customization.
  • NFS-like writable volumes for simultaneous connections.
  • Automated CI/CD to eliminate manual re-imports.
  • Detailed monitoring with call and build logs.
  • Dynamic batching to increase throughput.
  • Inferless 's Use Cases

  • Startups needing to deploy ML models quickly without infrastructure management.
  • Data scientists looking for scalable solutions for unpredictable workloads.
  • Enterprises requiring high-performance GPU inference with security compliance.
  • Developers wanting to reduce GPU cloud bills with efficient scaling.
  • Researchers needing to process large models with sub-second response times.
  • Inferless 's Pricing

    Starter

    $0.000555/sec

    Designed for small teams and independent developers looking to deploy their models in minutes without worrying about the cost.

    Enterprise

    Discounted Price

    Built for fast-growing startups and larger organizations looking to scale quickly at an affordable cost with desired latency results.

    Inferless 's FAQ

    Most impacted jobs

    Software Engineer
    Data Scientist
    ML Engineer
    Startup Founder
    Researcher
    DevOps Engineer
    AI Developer
    Technical Lead
    Product Manager
    CTO

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