aqueduct

Overview

Aqueduct is an open-source tool for running LLM and ML workloads on any cloud infrastructure. It is written in Go and provides a framework for deploying and managing these workloads across environments. The project is no longer actively maintained.

Best for

Best for
Teams that need a simple multi-cloud executor for ML/LLM workloads and accept using an unmaintained tool

Use cases

• Run large language model inference on cloud infrastructure
• Execute machine learning training pipelines across multiple clouds
• Deploy and manage ML models in multi-cloud environments

Notes

Aqueduct is an open-source tool for running LLM and ML workloads on any cloud infrastructure. It is written in Go and provides a framework for deploying and managing these workloads across environments. The project is no longer actively maintained.

519 stars on GitHub. Last updated 2023-06-07. Licensed Apache-2.0.

Use cases

• Run large language model inference on cloud infrastructure
• Execute machine learning training pipelines across multiple clouds
• Deploy and manage ML models in multi-cloud environments

Pros

• Written in Go for efficient execution
• Supports any cloud infrastructure provider
• Open source with transparent codebase

Cons

• No longer maintained, no updates or bug fixes
• Limited community and documentation due to low popularity
• May lack features compared to actively developed alternatives

Indexed from awesome-llmops and enriched against its public facts.