Creator of CNCF's @Project_Harbor : https://xitter.cf/t.co/Am3dbzGuV6 . Co-author of "Blockchain Technical Guide". Opinions are mine.
Beijing, China
Joined April 2009
- Tweets297
- Following183
- Followers436
- Likes923
This tool leverages OpenClaw to manage VMware infrastructure via natural language. Probably the first of its kind! No more complex CLI.🤖
🔗 github.com/zw008/VMware-AIop… #AIops #OpenClaw
Haining Henry Zhang retweeted
Join @orlinvasilev and two of the core @project_harbor maintainers - @vad1mo and @wy65701436 in discussion of container and artefact registries based on their experience maintaining one of the @CloudNativeFdn graduated projects @project_harbor
okt.to/Za6QVk
Haining Henry Zhang retweeted
@wy65701436 singing the first copy at #KubeCon :) we have more just drop by kiosk number 6 :) at the open source project area at @KubeCon_
Haining Henry Zhang retweeted
🎉🎉🎉Happy Harbor 2.8 Release - The KubeCon Release! We are super happy to kick of the week of KubeCon with new release check more here: goharbor.io/blog/harbor-2.8/…and see you at KubeCon!🎉🎉🎉
Thanks @cswolf for the kind words. This book was the collective effort of Harbor maintainers and contributors, including but not limited to @alandren @wy65701436 @loneghost1982 @reasonerjt @DQbeta @kfanjian. Thanks all authors and translators!
Just got my copy of The Authoritative Guide to Harbor by @zhanghaining. The book is well structured with insights into artifact management, access control and security, governance and more. Nice job by the Harbor team and it’s great to see the project’s continued growth.
Thanks the hard work of the Harbor maintainers who made it possible for the publication of the book.
Thrilled to receive this book on @project_harbor! Thank you @zhanghaining and the rest of the Harbor team for their ongoing work on a vital @CloudNativeFdn graduated project.
To streamline the provisioning and management of federated clusters, Our team donated #OpenSource project, Federation Lifecycle Manager (FedLCM) to @LFAIDataFdn. Check out the details here: bit.ly/FedLCM
source code: github.com/FederatedAI/FedLC…
The latest release 1.6.1 of federated machine learning framework FATE.
Hi,
We are pleased to announce the release of FATE 1.61 and KubeFATE 1.6.1. Based from 1.6.0, there are many improvements including new features and bug-fix. Welcome to check them out!
Major Features and Improvements in FATE v1.6.1
github.com/FederatedAI/FATE/…
See how FATE can help with your federated learning applications.
Case-study: See how FATE can help in risk management of credit in small and micro enterprises. Spoiler alert - there is over 10+ percent in model performance enhancement thanks to the implementation of federated machine learning.link.medium.com/eLnuwifpxjb
Haining Henry Zhang retweeted
Case-study: See how FATE can help in risk management of credit in small and micro enterprises. Spoiler alert - there is over 10+ percent in model performance enhancement thanks to the implementation of federated machine learning.link.medium.com/eLnuwifpxjb
A new blog post on using Bitfusion via vSphere PVRDMA link.medium.com/2l9uxUNnwjb . This is from our work of open source Bitfusion device plugin: github.com/vmware/bitfusion-…
Federated learning is one of the important approaches to privacy preserving computation. Check out this white paper to learn more.
You’re unable to view this Post because this account owner limits who can view their Posts. Learn more
Haining Henry Zhang retweeted
Do you know KubeFATE can support deploy FATE using docker alone? You don't need Kubernetes installation to have a FATE cluster running. See how to launch a FATE instance with a simple script: link.medium.com/2GAyQHtf0ib
Haining Henry Zhang retweeted
Federated AI Technology Enabler (FATE) is an open-source project providing a secure computing framework to support the federated AI ecosystem. It implements secure computation protocols to support various machine-learning algorithms. @layne_peng explains. via.vmw.com/EWfw
Haining Henry Zhang retweeted
Harbor Operator 1.1.0 is released!
Major updates:
- Support deploying Harbor v2.3
- Support Kubernetes version 1.21
- Upgrade ingress version to v1
More details and downloads here:
github.com/goharbor/harbor-o…
Cloud Native Federated learning based on KubeFATE.
Want to get to know more about KubeFATE internals? KubeFATE is built around Helm but with another layer of abstraction to further enhance its flexibility. The juicy technical details of its implementation are addressed in this deep-dive:link.medium.com/nnf67e9lLib
Haining Henry Zhang retweeted
Federated learning is one of the most promising #ML technologies to help overcome data silos — strengthening data privacy and security — while still complying with laws and regulations, such as GDPR. Learn more in this great OCTO blog post by
@layne_peng: octo.vmware.com/federated-ma…
According to @CloudNativeFdn 's Survey China 2020, @project_harbor has shown impressive jumps in production usage in China, up from 27% to 47%, a 75% increase.
cncf.io/blog/2021/04/28/cncf…
We created an open source of Bitfusion device plugin for K8s. Feel free to try it out and let us know how it works.
Cool new tech from @vmwocto xLabs to start your Friday.
Our bitfusion #kubernetes device plug-in can allow any k8s pod to remotely access a shared GPU on a vSphere 7 host. Spread the word and contribute to this great project led by @zhanghaining.
github.com/vmware/bitfusion-…
Haining Henry Zhang retweeted
We’re excited to announce Harbor v2.2!
Major features:
- Multi-projects scoped robots
- Prometheus integration
- Proxy caching extended to GCR, Quay.io, ECR, & ACR
Read more about v2.2, our 2020 in review, and our roadmap for 2021:
goharbor.io/blog/harbor-2.2/