Runpod Serverless

Paid#26 of 32 in Serverless HostingAI Model Hosting Model Hosting

Runpod Serverless: Containerized GPU inference with per-second billing and workers that scale to zero. Ranked #26 of 32 in Serverless Hosting by our editors (6.9/10); pricing: Paid; best for teams deploying containerized GPU inference endpoints.

6.9/10Editor score

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At a glance

Editor score
6.9 / 10
Pricing
Paid
Best for
Teams deploying containerized GPU inference endpoints
Free plan
No
Paid from
$0.58 usage-based
Execution model
Duration_based
Founded
2022 · San Francisco, California, United States
Facts checked
19 Sep 2026

Where it wins
- Workers can scale to zero when idle, with per-second compute billing.
- Choose queue-based or load-balancing endpoints and configure GPU selection.
- Deploy from GitHub and manage endpoints through REST APIs or SDKs.
Where it doesn't
- The listed $0.58/hour rate is for the 16 GB GPU class.
- Costs vary with GPU type and worker configuration.
- It focuses on GPU workloads rather than general-purpose serverless hosting.

Our verdict on Runpod Serverless

Runpod Serverless provides API-accessible, containerized GPU endpoints for AI inference and other compute-intensive workloads. It is aimed at developers serving custom models, image generation, language-model inference, batch jobs, or custom HTTP APIs. Workers start on demand and can scale to zero when idle, which suits workloads that do not need GPU capacity running continuously. Deployments can use Docker containers or GitHub, with web and API access to the service.

For pricing, the published Serverless Flex workers plan starts at $0.58 per hour for the 16 GB GPU class, with compute billed per second while workers run. The rate varies by GPU type and worker configuration, so it is a starting point rather than a fixed cost for every endpoint. The plan highlights scale-to-zero workers and per-second billing; buyers should account for their chosen hardware and worker settings when estimating usage.

Endpoint controls include queue-based and load-balancing types, configurable GPU selection and worker counts, execution timeouts, and job TTL controls. Network volumes and cached models support model-serving workflows, while logs, monitoring, and worker debugging help with operations. GitHub and Docker Hub are among the listed integrations, alongside Hugging Face, webhooks, and REST API; Python, JavaScript, and Go SDKs are provided. This focus makes Runpod Serverless a fit for teams that need configurable GPU inference endpoints, but less suitable for workloads that call for a general-purpose serverless host rather than GPU compute.

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Runpod Serverless pricing

Plans PaidPaid No free plan — trial or paid only. Prices checked 19 Sep 2026.

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All 1 Runpod Serverless plans and prices →

Runpod Serverless fact sheet

Free plan	No
Paid from	$0.58 usage-based
Execution model	Duration_based
Max execution time	604800 sec
Deployment methods	Git
Runtime languages	Python, Node.js, Go, Rust, C++, and custom Docker runtimes
Custom domains	Not verified
Preview deployments	Not verified
Deployment	Cloud
Platforms	Web
Integrations	5 integrations: GitHub, Docker Hub, Hugging Face, Webhooks, REST API
Pricing	Paid (source)
Website	runpod.io
Facts checked	19 Sep 2026

Runpod Serverless integrations

Runpod Serverless lists 5 integrations on its own site.

GitHub
Docker Hub
Hugging Face
Webhooks
REST API

Alternatives to Runpod Serverless

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Also Ranked In

Runpod Serverless is ranked in 3 of our directories.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update