On the recordRead 4 Oct 202612 facts
ado
On the record
- Agent workflows
- Bundled agent skills can help AI coding assistants formulate research campaigns, run experiments, query data, and analyse results.ibm.github.io · read 4 Oct 2026
- Data backend
- The backend guide covers a distributed MySQL setup and onboarding projects to it.ibm.github.io · read 4 Oct 2026
- Examples
- Listed use cases include fine-tuning and inference performance benchmarking and predictive performance model creation.github.com · read 4 Oct 2026
- Extensibility
- Experiments and operators can be extended through a plugin model using Python functions.ibm.github.io · read 4 Oct 2026
- Integrations
- The documentation describes remote execution on Ray clusters and backend deployment with Kubernetes or OpenShift.ibm.github.io · read 4 Oct 2026
- Intended users
- The user guide is aimed at researchers and benchmarkers who want to run experiments, explore parameter spaces, and analyse results.ibm.github.io · read 4 Oct 2026
- Purpose
- ado is a Python platform for designing computational experiment campaigns and executing them at scale.ibm.github.io · read 4 Oct 2026
- Research workflow
- Its documented workflow covers choosing experiments, defining a parameter space, configuring a strategy, executing experiments, and analysing results.ibm.github.io · read 4 Oct 2026
- Result storage
- The sample store saves measurement results and can reuse existing results through memoization.ibm.github.io · read 4 Oct 2026
- Support and contributions
- The project welcomes contributions and directs users to its GitHub issue tracker for feature proposals and bug tracking.ibm.github.io · read 4 Oct 2026
- Team collaboration
- ado enables distributed teams of researchers and engineers to collaborate, run experiments, and share data.ibm.github.io · read 4 Oct 2026
- Validation and provenance
- The documentation says ado supports validated schemas, dry runs, structured results, and provenance that records resource relationships and plugin versions.ibm.github.io · read 4 Oct 2026
