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A practical guide to expanding multi-node GPU workloads in place.
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Runpod introduces new Serverless pricing with Flex and Active worker types, offering better scalability and up to 40% lower costs for consistent workloads.

We have some good news! We're revamping Serverless pricing to improve our user experience for individuals, startups, and enterprises. The bad news is that if you haven't moved your cloud compute workloads to Runpod yet, that decision might keep you up at night!
With new price changes, we are introducing two different types of Serverless workers to tackle many different use cases. Each worker offers additional concurrency and can handle 1 request at a time or multiple based on your use case.
Pricing Per Second
| GPU Size | GPU Type | Flex | Active (-40%) |
|---|---|---|---|
| 16 GB | A4000 | $0.0002 | $0.00012 |
| 24 GB | A5000 | $0.00026 | $0.00016 |
| 24 GB Pro | 4090 | $0.00044 | $0.00026 |
| 48 GB | A6000 | $0.00048 | $0.00029 |
| 80 GB | A100 | $0.0013 | $0.00078 |
New vs Old Price (only Flex)
| GPU Size | GPU Type | Old | New |
|---|---|---|---|
| 16 GB | A4000 | $0.00024 | $0.0002 |
| 24 GB | A5000 | $0.00030 | $0.00026 |
| 24 GB Pro | 4090 | $0.00050 | $0.00044 |
| 48 GB | A6000 | $0.00055 | $0.00048 |
| 80 GB | A100 | $0.00140 | $0.0013 |
This change to our Serverless worker pricing (including the transition to Active and Flex workers) will go live towards the end of this month. Please reach out to us for any inquiries about Serverless at [email protected].
Update:
The 40% discount on Active Workers is now live. Enjoy!
Author profile: Pardeep Singh
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