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![Chenggang Wu](https://ph-avatars.imgix.net/4728450/original.jpeg?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=48&h=48&fit=crop&frame=1)
Aqueduct's LLM support makes it easy for you to run open-source LLMs on any infrastructure that you use. With a single API call, you can run an LLM on a single prompt or even on a whole dataset!
![Aqueduct](https://ph-files.imgix.net/823126dc-599a-47d1-8e30-e214eebce95b.png?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=48&h=48&fit=crop&frame=1)
Aqueduct
The easiest way to run open source LLMs
![Chenggang Wu](https://ph-avatars.imgix.net/4728450/original.jpeg?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=48&h=48&fit=crop&frame=1)
Chenggang Wu
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Super excited to share! At Aqueduct, we're building an open-source platform that simplifies data teams' lives by raising the abstraction layer for production data science. We're working on some cool stuff under the hood: data caching, parallel operator scheduling, and compilation of high-level workflow definitions to low-level specs that run on powerful compute engines like Kubernetes and AWS...
![Aqueduct](https://ph-files.imgix.net/9f8e879f-cdf0-4308-82c2-16e513ece67f.png?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=48&h=48&fit=crop&frame=1)
Aqueduct
Taking data science to production
![Chenggang Wu](https://ph-avatars.imgix.net/4728450/original.jpeg?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=48&h=48&fit=crop&frame=1)
Aqueduct automates the engineering required to take data science to production. By abstracting away low-level cloud infrastructure, Aqueduct enables data teams to run models anywhere, publish predictions where they're needed, and monitor results reliably.
![Aqueduct](https://ph-files.imgix.net/9f8e879f-cdf0-4308-82c2-16e513ece67f.png?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=48&h=48&fit=crop&frame=1)
Aqueduct
Taking data science to production