AI Infrastructure & MLOps Paid

Inferless

Serverless GPU inference with per-second billing and scale-to-zero deployment

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PricingPaid
Starting price$0.33/GPU-hr
Free planNo
Free trialYes
APIYes
Open sourceNo
DeploymentCloud
Last verifiedAugust 3, 2026
Overview

Tool overview

Inferless is listed under AI Infrastructure & MLOps AI tools.

Summary

What is Inferless?

Inferless deploys machine-learning and generative models as serverless GPU endpoints. It builds containerized runtimes, scales replicas with demand, supports fractional and dedicated Nvidia GPUs, and charges for healthy running time by the second.

Best fit

Best for

Developers deploying bursty GPU model endpoints

Audience

Who is it for?

ML engineersGenerative-AI developersAI startupsPlatform teams
Recommendation

Decision note

Rebuilt from the original export under the complete V412/V411 factual-source-verification workflow. Preview only. Apply remains blocked until Failures = 0, Warnings = 0, Unmapped = 0, Missing = 0; explicit clears are reviewed; image import is disabled or V380 accepts the asset; a representative WordPress edit screen is compared with the export and proposed row; and a post-Apply zero-change Preview succeeds.

Capabilities

Key features

Per-second serverless GPU billing

Fractional and dedicated T4, A10, and A100 GPUs

Scale-to-zero endpoints and configurable concurrency

Custom Docker runtimes and model-repository workflows

Workflows

Use cases

Deploy generative and ML model APIs

Serve image, language, audio, and vision models

Run bursty GPU inference workloads

Replace continuously provisioned GPU endpoints

Strengths

Pros

  • Starts at $0.33 per GPU hour
  • Promotional free compute credit without a card
  • No charge when minimum replicas are zero and no worker runs
Considerations

Limitations

The pricing page presents both a ten-hour statement and a $30 promotional-credit statement

the current dashboard grant should be confirmed at signup. Security isolation does not remove the need to protect model code, data, and API credentials.

Cost

Pricing details

Pricing modelPaid
Starting price$0.33/GPU-hr
Free planNo
Free trialYes
Pricing context

Billing options

Per-second GPU usageStorage overageEnterprise volume agreement
Pricing context

Pricing note

Shared T4 starts at $0.000092/second or $0.33/hour. Shared A10 is $0.61/hour and shared A100 is $2.68/hour. The page promotes free starter compute and $30 credit; the exact active signup grant should be confirmed in the dashboard.

View official pricing
Compatibility

Supported languages

  • English
Connectivity

Integrations

Hugging Face models

GitHub repositories

Docker containers

AWS storage workflows

Custom runtimes

Specs

Technical details

PlatformsWeb, API
Multilingual supportUnknown
Login requiredYes
Open sourceNo
DeploymentCloud
CompanyIDQ Innovation Pvt Ltd d/b/a Inferless
Editions / plansStarter Enterprise
Data confidenceHigh
Last verifiedAugust 3, 2026
Documentation → Data source →
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Answers

Frequently asked questions

Inferless deploys machine-learning and generative models as serverless GPU endpoints. It builds containerized runtimes, scales replicas with demand, supports fractional and dedicated Nvidia GPUs, and charges for healthy running time by the second.
Developers deploying bursty GPU model endpoints
The listed pricing model for Inferless is Paid. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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