Distributed Workloads v0.0.4
This is a tagged release of the v0.0.4 version of the Distributed Workloads stack. It includes the following:
Compatibilty Matrix
Component | Version |
---|---|
CodeFlare Operator | v0.0.4 |
Multi-Cluster App Dispatcher | v1.31.0 |
CodeFlare-SDK | v0.4.4 |
InstaScale | v0.0.4 |
KubeRay | v0.5.0 |
Upstream release notes can be found at https://github.com/project-codeflare/codeflare-operator/releases/tag/v0.0.4
What's Changed
- Quick Start draft 0.0.1 by @MichaelClifford in #1
- Add overview to README by @accorvin in #2
- Update Quick-Start.md by @KPostOffice in #3
- small image version fix MCAD by @MichaelClifford in #4
- Fix helm command to install MCAD by @tedhtchang in #5
- Update Quick-Start.md by @KPostOffice in #7
- Update quickstart instructions to account for CodeFlare operator by @anishasthana in #9
- Automatically update codeflare image by @anishasthana in #10
- Quick start updates by @jbusche in #14
- add KubeRay manifests by @MichaelClifford in #13
- Add testing template by @MichaelClifford in #21
- update spawner page instructions by @MichaelClifford in #8
- CodeFlare Installation test by @KPostOffice in #22
- make test scripts executable by @KPostOffice in #26
- E2E CodeFlare delete portion by @jbusche in #24
- Add notebook cr template by @tedhtchang in #23
- Adding kfdef add and delete by @jbusche in #27
- some ray.sh updates by @MichaelClifford in #35
- Add opendatahub deployment to the Prerequisites by @tedhtchang in #33
- Adding Mini ML Workloads + TorchX-MCAD Test by @Maxusmusti in #31
- add Containerfile for mcad mnist test by @MichaelClifford in #32
- uninstall_codeflare_operator function has problem with pod deletion test by @jbusche in #34
- Fix typeo in the test README by @tedhtchang in #36
- Update resource requirements by @anishasthana in #38
- Bring manifests in line with odh-manifests by @anishasthana in #39
- Use pinned version of CodeFlare operator by @anishasthana in #44
- CPU bump and memory decrease for custom notebook by @jbusche in #42
- fix(doc): Update link to ODH operator installation guide by @astefanutti in #48
- move CodeFlare operator installation to pre-requisite by @KPostOffice in #49
- use opendatahub ray operator image to bypass dockerhub rate limiting by @KPostOffice in #51
- Add link to instructions for setting up GPU operator by @accorvin in #54
- update ray operator image by @KPostOffice in #55
- Updating quickstart guide by @Fiona-Waters in #52
- add scc that forces ray pods to run as user 1000 by @KPostOffice in #56
- Update Artifacts for CodeFlare Stack 0.0.4 by @anishasthana in #58
- Allow Mac to run e2e test by @tedhtchang in #53
New Contributors
- @MichaelClifford made their first contribution in #1
- @accorvin made their first contribution in #2
- @KPostOffice made their first contribution in #3
- @tedhtchang made their first contribution in #5
- @anishasthana made their first contribution in #9
- @jbusche made their first contribution in #14
- @Maxusmusti made their first contribution in #31
- @astefanutti made their first contribution in #48
- @Fiona-Waters made their first contribution in #52
Full Changelog: https://github.com/opendatahub-io/distributed-workloads/commits/v0.0.4