From $6.50 usage-based🇺🇸
GPU cloud for training and serving large AI models, with a managed Kubernetes service, Slurm integration and managed inference.
Runpod AI features and pricing (October 2026)
GPU cloud with low-cost hourly Pods, serverless endpoints that scale to zero and clusters for developers and small teams.
Usage-based
Pricing: Usage-based
Pods from $0.16 per hour (RTX A5000 on Community Cloud) and from $0.27 on Secure Cloud according to the pricing page; Serverless billed per second by GPU tier, as of October 2026.
What is Runpod?
Runpod is a GPU cloud for developers and companies of any size that want to run, fine-tune or serve AI models, with low hourly GPU prices and serverless endpoints that scale to zero.
Runpod has four core products: Pods as GPU instances billed by the hour, Serverless endpoints with fast cold starts, Clusters for multi-node jobs and a Hub for sharing models and applications. Public Endpoints add pre-deployed models callable by API. The company is based in San Francisco, operates in 31 regions and says more than one million developers use the platform. GPU capacity comes from a Community Cloud and a Secure Cloud with different price levels.
Runpod AI features and use cases
- Serves models without idle costServerless endpoints start GPU workers when requests arrive and scale back to zero when traffic stops. Small teams pay per second of use and do not keep GPUs running overnight.
- Provides GPUs for experimentsPods give developers a GPU machine with a chosen template for notebooks, fine-tuning or image generation. The Community Cloud keeps costs low for tests that do not handle sensitive data.
- Calls ready-made models by APIPublic Endpoints expose pre-deployed AI models that can be used by API without building a container. This shortens the path from idea to a working prototype.
What sets Runpod apart
- Two capacity pools with different price levels: a lower-priced Community Cloud and a Secure Cloud.
- ISO/IEC 27001:2022 certificate valid until August 2029, plus SOC 2 Type II and SOC 3 reports in the trust center.
Where Runpod is strongest
United States Available internationally
Runpod Inc. is based in San Francisco, California, according to its privacy policy.
Questions to ask before you buy Runpod
Decide whether workloads may run on Community Cloud capacity or need Secure Cloud, especially for personal or client data. Choose the region explicitly, since Runpod operates in 31 regions. Serverless costs depend on traffic, so set limits. Review the public data processing agreement before production use.
Runpod reviews
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Questions about Runpod
What is the cheapest GPU on Runpod?
In September 2026 the pricing page started at $0.16 per hour for an RTX A5000 on Community Cloud. The same GPU costs $0.27 per hour on Secure Cloud.
How is Serverless billed?
Per second of worker runtime. Endpoints can scale to zero, so no cost arises while there are no requests.
Does Runpod offer a data processing agreement?
Yes. The privacy policy links to a data processing agreement, and the trust center holds the ISO certificate and SOC reports.
Runpod update historyno updates yet
No changes recorded for Runpod yet.
Changes the vendor made and confirmed user reports, each checked against the vendor's own pages. We review every tool monthly.
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