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Built on 10 years of UC Berkeley research, RunLLM reads logs, code and docs to resolve complex support issues. Saves 30%+ eng time, cuts MTTR by 50%, deflects up to 99% of tickets. Trusted by Databricks, Sourcegraph and Corelight—try for free on your product.
RunLLMAI that doesn’t just respond—it resolves
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!
AqueductThe easiest way to run open source LLMs
Chenggang Wuleft a comment
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...
AqueductTaking data science to production
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.
AqueductTaking data science to production