Inferless

Serverless GPU inference that takes any ML model from file to autoscaling endpoint in minutes.

Freemium Coding & Development
Visit Website ↗ by Inferless

What is Inferless?

Inferless is a serverless GPU platform for deploying machine learning models without managing infrastructure. Import a model from Hugging Face, Git, or Docker and get an autoscaling REST endpoint billed per second of GPU use, with sub-second cold starts. It is SOC 2 Type II certified and used by teams like Cleanlab and Spoofsense.

Key features

  • Deploy from Hugging Face, Git, Docker, or CLI
  • Autoscaling endpoints billed per second of GPU
  • Sub-second cold starts for large models
  • Share one GPU across multiple models
  • Custom runtimes with volumes and secrets
  • Automatic redeploy on model updates
  • SOC 2 Type II certified infrastructure
  • Nvidia Triton integration ready

Pros

  • Genuinely fast path from model file to endpoint
  • Pay only for inference seconds, no idle cost
  • Good fit for spiky, unpredictable workloads
  • Strong security certifications for its size

Cons

  • Smaller GPU catalog than big clouds
  • Newer platform with evolving docs
  • India-based team may mean timezone gaps for some

Inferless at a glance

PricingFreemium
CategoryCoding & Development
Platformsweb, api
CompanyInferless
Official websitewww.inferless.com
serverlessgpu-inferencemodel-deploymentautoscalinghugging-facecold-startapimlops

How to choose the right Coding & Development tool

The right coding tool depends on where you write code and how much of your codebase it can understand. IDE integration is the first filter — a tool that lives in your editor, sees your project files and respects your stack will help far more than a general chatbot you paste snippets into. Look for accurate completions, clear explanations of suggested changes, and strong refactoring and debugging support for your main languages. Privacy deserves real attention: check whether your code is used for training, and whether a self-hosted or enterprise option exists for sensitive projects. Price against the hours it actually saves — most developers feel the difference within the first week of real use.

Compare all Coding & Development tools →

Inferless FAQs

What is Inferless?

Inferless is a serverless GPU platform for deploying machine learning models without managing infrastructure. Import a model from Hugging Face, Git, or Docker and get an autoscaling REST endpoint billed per second of GPU use, with sub-second cold starts. It is SOC 2 Type II certified and used by teams like Cleanlab and Spoofsense.

What are the main features of Inferless?

Inferless offers Deploy from Hugging Face, Git, Docker, or CLI, Autoscaling endpoints billed per second of GPU, Sub-second cold starts for large models, Share one GPU across multiple models, Custom runtimes with volumes and secrets, Automatic redeploy on model updates, SOC 2 Type II certified infrastructure and Nvidia Triton integration ready.

How much does Inferless cost?

Inferless follows a freemium model: a free tier is available, and paid plans unlock higher limits and advanced features. Check its official website for current plan prices.

What are the pros and cons of Inferless?

Strengths of Inferless include Genuinely fast path from model file to endpoint; Pay only for inference seconds, no idle cost; Good fit for spiky, unpredictable workloads. On the downside, Smaller GPU catalog than big clouds; Newer platform with evolving docs; India-based team may mean timezone gaps for some.