aqueduct
Enrichment pendingAqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.
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Go Apache-2.0Created May 27, 2022
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Full report- Maintenance
- Dormant (1130d since push)
- As of today · Source: github_public_v1
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- Not a fork · Organization account
- As of today · Source: github_public_v1
- Security (OSV)
- No lockfile
- As of today · Source: none
Public GitHub metadata and optional OSV dependency scans. Signals, not a guarantee. Trust methodology.
Overview
Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.
Capability facts
- Languages
- go
Source: github.language · Jul 11, 2026
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README
Or write a custom op on your favorite infrastructure!
@op( engine='kubernetes',
Get a GPU.
resources={'gpu_resource_name': 'nvidia.com/gpu'} ) def train(featurized_logs): return model.train(features) # Train your model.
train(features)
Once you publish this workflow to Aqueduct, you can see it on the UI:
To see how to build your first workflow, check out our **[quickstart guide! →](https://docs.aqueducthq.com/quickstart-guide)**