Runpod Serverless
The facts below are what the maker publishes about Runpod Serverless, checked and dated. Our editors have not written about it yet.
Plans and prices
From Runpod Serverless's own pricing page, checked 9 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Serverless GPU endpoint (141GB H200) | Free | H200 · 141 GB · $5.93/hr, metered per second |
| Serverless GPU endpoint (16GB class) | Free | A4000, A4500, RTX 4000, RTX 2000 · 16 GB · $0.58/hr, metered per second |
| Serverless GPU endpoint (24GB class) | Free | L4, A5000, 3090, MIG 24GB · 24 GB · $0.69/hr, metered per second |
| Serverless GPU endpoint (32GB 5090) | Free | 5090 · 32 GB · $1.58/hr, metered per second |
| Serverless GPU endpoint (32GB RTX PRO 4500 Blackwell) | Free | RTX PRO 4500 Blackwell · 32 GB · $1.15/hr, metered per second |
| Serverless GPU endpoint (48GB A6000/A40) | Free | A6000, A40 · 48 GB · $1.22/hr, metered per second |
| Serverless GPU endpoint (48GB L40/L40S/6000 Ada/MIG) | Free | L40, L40S, 6000 Ada, MIG 48GB · 48 GB · $1.75/hr, metered per second |
| Serverless GPU endpoint (80GB A100) | Free | A100 · 80 GB · $2.72/hr, metered per second |
| Serverless GPU endpoint (80GB H100) | Free | H100 · 80 GB · $4.79/hr, metered per second |
| Serverless GPU endpoint (96GB RTX 6000 Pro) | Free | RTX 6000 Pro · 96 GB · $3.49/hr, metered per second |
The facts
Each one read from Runpod Serverless's own pages, with the date it was checked.
What it does
- Autoscaling
- The product overview says endpoints scale from zero to hundreds of workers with request demand, and flex workers scale to zero when idle.checked 9 Oct 2026
- Cold starts
- FlashBoot is described as providing sub-200ms cold starts, while pre-warmed workers can provide zero cold starts.checked 9 Oct 2026
- Compliance scope
- Runpod says compliance coverage can vary by workload, region, provider, and deployment model, and directs customers to confirm specific requirements with its team.checked 9 Oct 2026
- Containers and runtimes
- Users can bring a Docker container and configure runtimes for languages and frameworks including Python, Node.js, Go, Rust, C++, PyTorch, TensorFlow, JAX, and ONNX.checked 9 Oct 2026
- Deployments
- Workers can be deployed from GitHub, with code and Dockerfile built into a container image and deployed to an endpoint.checked 9 Oct 2026
- Integrations
- The documentation describes OpenAI-compatible endpoint integration with tools including n8n, CrewAI, and LangChain.checked 9 Oct 2026
- Intended workloads
- The product page identifies inference, fine-tuning, agent systems, rendering, and simulations as workloads for Serverless.checked 9 Oct 2026
- Purpose
- Runpod Serverless runs containerized AI inference workloads behind API endpoints and scales workers based on demand.checked 9 Oct 2026
- Regions
- The product page says users can deploy in global regions to place workloads closer to users.checked 9 Oct 2026
- SDKs
- Runpod documents Serverless SDKs for Python, JavaScript, and Go.checked 9 Oct 2026
- Security and compliance
- Runpod states that it completed SOC 2 Type II and SOC 3 examinations, maintains HIPAA and GDPR programs, and holds an ISO/IEC 27001:2022 certification for its information security management system.checked 9 Oct 2026
- Storage
- The product page describes persistent network storage that scales with workloads.checked 9 Oct 2026
- Support
- Runpod documentation directs users to submit a support request, check the service status page, or join its Discord community.checked 9 Oct 2026
Money
- Billing
- Serverless compute is billed per second from worker start to full stop, rounded up to the nearest second.checked 9 Oct 2026
The company
- Founded
- 2022checked 28 Sep 2026
- Headquarters
- San Francisco, California, United Stateschecked 28 Sep 2026
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