Open yuzisun opened 8 months ago
/vote
@yuzisun has called for a vote on Propose transiting KServe project from LFAI to CNCF
(#10).
The members of the following teams have binding votes: | Team |
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@kserve/kserve-reviewers |
Non-binding votes are also appreciated as a sign of support!
You can cast your vote by reacting to this
comment. The following reactions are supported:
In favor | Against | Abstain |
---|---|---|
π | π | π |
Please note that voting for multiple options is not allowed and those votes won't be counted.
The vote will be open for 28days
. It will pass if at least 66%
of the users with binding votes vote In favor π
. Once it's closed, results will be published here as a new comment.
In favor
What does transitioning to CNCF mean in practice, ie., how does it impact governance, adopters and potential adopters? Whatever be the case, looking forward to keep participating and engaging with the awesome KServe community!
What does transitioning to CNCF mean in practice, ie., how does it impact governance, adopters and potential adopters? Whatever be the case, looking forward to keep participating and engaging with the awesome KServe community!
Thanks! There isnβt going to be much change in terms of governance, but it opens door to many other potential adopters in the cloud native space. kserve was created to build a standard cloud native ml inference platform and we are continuing to commit that by working more closely with cloud native AI community.
/check-vote
So far 37.50%
of the users with binding vote are in favor (passing threshold: 66%
).
In favor | Against | Abstain | Not voted |
---|---|---|---|
9 | 0 | 0 | 15 |
User | Vote | Timestamp |
---|---|---|
rachitchauhan43 | In favor | 2024-02-20 0:33:49.0 +00:00:00 |
andyi2it | In favor | 2024-02-20 2:38:53.0 +00:00:00 |
lizzzcai | In favor | 2024-02-20 2:42:37.0 +00:00:00 |
johnugeorge | In favor | 2024-02-20 3:07:59.0 +00:00:00 |
spolti | In favor | 2024-02-20 13:16:02.0 +00:00:00 |
sivanantha321 | In favor | 2024-02-20 6:43:34.0 +00:00:00 |
adriangonz | In favor | 2024-02-20 14:46:18.0 +00:00:00 |
taneem-ibrahim | In favor | 2024-02-20 17:58:10.0 +00:00:00 |
terrytangyuan | In favor | 2024-02-20 0:42:17.0 +00:00:00 |
@cmaddalozzo | Pending | |
@theofpa | Pending | |
@greenmoon55 | Pending | |
@houshengbo | Pending | |
@Jooho | Pending | |
@sriumcp | Pending | |
@Tomcli | Pending | |
@ddelange | Pending | |
@ReToCode | Pending | |
@njhill | Pending | |
@israel-hdez | Pending | |
@tessapham | Pending | |
@Iamlovingit | Pending | |
@alexagriffith | Pending | |
@gavrishp | Pending |
/check-vote
So far 54.17%
of the users with binding vote are in favor (passing threshold: 66%
).
In favor | Against | Abstain | Not voted |
---|---|---|---|
13 | 0 | 1 | 10 |
User | Vote | Timestamp |
---|---|---|
ReToCode | In favor | 2024-02-26 6:37:42.0 +00:00:00 |
spolti | In favor | 2024-02-20 13:16:02.0 +00:00:00 |
gavrishp | In favor | 2024-02-25 13:25:56.0 +00:00:00 |
terrytangyuan | In favor | 2024-02-20 0:42:17.0 +00:00:00 |
ddelange | Abstain | 2024-02-24 22:01:07.0 +00:00:00 |
johnugeorge | In favor | 2024-02-20 3:07:59.0 +00:00:00 |
adriangonz | In favor | 2024-02-20 14:46:18.0 +00:00:00 |
sivanantha321 | In favor | 2024-02-20 6:43:34.0 +00:00:00 |
taneem-ibrahim | In favor | 2024-02-20 17:58:10.0 +00:00:00 |
rachitchauhan43 | In favor | 2024-02-20 0:33:49.0 +00:00:00 |
sriumcp | In favor | 2024-02-25 0:50:39.0 +00:00:00 |
tessapham | In favor | 2024-02-26 4:34:23.0 +00:00:00 |
andyi2it | In favor | 2024-02-20 2:38:53.0 +00:00:00 |
lizzzcai | In favor | 2024-02-20 2:42:37.0 +00:00:00 |
@cmaddalozzo | Pending | |
@theofpa | Pending | |
@greenmoon55 | Pending | |
@houshengbo | Pending | |
@Jooho | Pending | |
@Tomcli | Pending | |
@njhill | Pending | |
@israel-hdez | Pending | |
@Iamlovingit | Pending | |
@alexagriffith | Pending |
In favor π
/check-vote
Votes can only be checked once a day.
The vote passed! π
75.00%
of the users with binding vote were in favor (passing threshold: 66%
).
In favor | Against | Abstain | Not voted |
---|---|---|---|
18 | 0 | 1 | 5 |
User | Vote | Timestamp |
---|---|---|
@ReToCode | In favor | 2024-02-26 6:37:42.0 +00:00:00 |
@gavrishp | In favor | 2024-02-25 13:25:56.0 +00:00:00 |
@israel-hdez | In favor | 2024-02-27 15:22:11.0 +00:00:00 |
@rachitchauhan43 | In favor | 2024-02-20 0:33:49.0 +00:00:00 |
@terrytangyuan | In favor | 2024-02-20 0:42:17.0 +00:00:00 |
@tessapham | In favor | 2024-02-26 4:34:23.0 +00:00:00 |
@Tomcli | In favor | 2024-02-27 16:48:54.0 +00:00:00 |
@spolti | In favor | 2024-02-20 13:16:02.0 +00:00:00 |
@greenmoon55 | In favor | 2024-02-27 19:39:43.0 +00:00:00 |
@sivanantha321 | In favor | 2024-02-20 6:43:34.0 +00:00:00 |
@johnugeorge | In favor | 2024-02-20 3:07:59.0 +00:00:00 |
@Jooho | In favor | 2024-02-27 14:18:11.0 +00:00:00 |
@taneem-ibrahim | In favor | 2024-02-20 17:58:10.0 +00:00:00 |
@lizzzcai | In favor | 2024-02-20 2:42:37.0 +00:00:00 |
@ddelange | Abstain | 2024-02-24 22:01:07.0 +00:00:00 |
@sriumcp | In favor | 2024-02-25 0:50:39.0 +00:00:00 |
@adriangonz | In favor | 2024-02-20 14:46:18.0 +00:00:00 |
@houshengbo | In favor | 2024-02-27 14:50:42.0 +00:00:00 |
@andyi2it | In favor | 2024-02-20 2:38:53.0 +00:00:00 |
/check-vote
The proposal for moving KServe to CNCF was submitted to CNCF TOC: https://github.com/cncf/toc/pull/1353
Here's the new link to the proposal to follow the new template from CNCF TOC: https://github.com/cncf/toc/issues/1367
KServe is a community driven open source project, aiming to deliver a cloud-native, scalable, extensible serverless ML inference platform. It provides an open standard control and data plane for serving production ML models including Scikit-learn, Tensorflow, PyTorch and large language models(LLMs).
Since its inception in 2019, previously known as KFServing under Kubeflow, the KServe project has gained significant traction with support from leading industry players such as Bloomberg, IBM, RedHat, Intuit, SAP, AliCloud. It has fostered a diverse and inclusive community including both end users and cloud vendors. Embracing an open governance model, KServe has established a clear process for promoting reviewers and approvers, ensuring transparency and fairness in decision-making.
KServe plays a vital role for deploying the trained models to production to realize the business values in enabling the end to end ML lifecycle, including model development, training and pipeline. With the rise of LLMs, the need for scalable and cost-effective serving solutions like KServe has become increasingly evident.
Given the recent incubation of Kubeflow within CNCF, the collaborative efforts with CNCF Cloud Native AI working group as well as the community asks, the KServe community propose transitioning the KServe project from LFAI to CNCF. We are using issue to initiate the voting process.
Dan Sun on behalf of the KServe community