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# Whats is Batch Inference? (2027)

**[DigitalOcean](https://daily.dev/sources/do)** · 19 min read · 0 upvotes · 0 comments

## Summary

Batch inference runs a large set of AI requests as one asynchronous job, trading instant responses for lower cost and higher throughput. On DigitalOcean, batch requests to OpenAI and Anthropic models cost up to 50% less than real-time rates, finish within a 24-hour window, and use separate rate limits from live traffic. It suits document extraction, ticket triage, and evaluations, not interactive features. DigitalOcean engineers ran 250,000 consumer complaints through seven batch jobs for $7.04, versus $14.07 at serverless rates, with the largest 40,000-request jobs finishing in 1.4 to 2.2 hours. Open-weight models aren't supported.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.digitalocean.com/blog/what-is-batch-inference>

## Questions this post answers

### How much cheaper is batch inference compared to real-time inference on DigitalOcean?

Batch requests to OpenAI and Anthropic models on DigitalOcean cost up to 50% less than real-time rates. Billing applies only to completed requests, so unprocessed work from a failed or expired job never appears on the invoice. In one test, processing 250,000 consumer complaints across seven batch jobs cost $7.04, versus $14.07 for the same tokens at serverless rates.

_Anyone budgeting large-scale LLM workloads can track pricing and cost comparisons like this on daily.dev._

### What is the completion window for DigitalOcean batch inference jobs and what happens if a job doesn't finish in time?

DigitalOcean batch inference jobs run within a 24-hour completion window. If a job isn't done by then, it expires: finished requests are kept and billed, unfinished ones aren't billed, and a continuation job can run what's left without resubmitting the whole file. Input files can hold up to 50,000 requests and 200MB.

_Developers designing async AI pipelines can follow platform limits like these on daily.dev._

### Does DigitalOcean batch inference support open-weight models like DeepSeek?

No, DigitalOcean Batch Inference only supports OpenAI and Anthropic commercial text models. Open-weight and DigitalOcean-hosted models aren't supported in batch mode. DeepSeek models can still run on DigitalOcean's Serverless Inference, but only at real-time rates, since the batch discount applies only to supported models.

_Teams comparing inference providers for open-weight model support can track these gaps on daily.dev._

## Similar posts on daily.dev

- [Scalable, Cost-Efficient AI: Introducing Unified Batch Inference on DigitalOcean](https://daily.dev/posts/scalable-cost-efficient-ai-introducing-unified-batch-inference-on-digitalocean-g2kea1ifv) · DigitalOcean · 1 upvotes · 0 comments
- [Cheapest Batch Inference for Low-Cost AI Inference: 6 Providers Compared \(2026\)](https://daily.dev/posts/cheapest-batch-inference-for-low-cost-ai-inference-6-providers-compared-2026--urh3juuuq) · DigitalOcean Community · 0 upvotes · 0 comments
- [We Classified 250,000 Records with DigitalOcean Batch Inference for $7.04](https://daily.dev/posts/we-classified-250-000-records-with-digitalocean-batch-inference-for-7-04-eaxahugw2) · DigitalOcean Community · 0 upvotes · 0 comments
- [Process a Million Documents Overnight: Batch Inference End-to-End](https://daily.dev/posts/process-a-million-documents-overnight-batch-inference-end-to-end-fjrmed2sj) · DigitalOcean Community · 0 upvotes · 0 comments

---

Tags: [#openai](https://daily.dev/tags/openai), [#anthropic](https://daily.dev/tags/anthropic), [#ai-inference](https://daily.dev/tags/ai-inference), [#digitalocean](https://daily.dev/tags/digitalocean)

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