Coauthors: Jeremy Lewi (Google), Josh Bottum (Arrikto), Elvira Dzhuraeva (Cisco), David Aronchick (Microsoft), Amy Unruh (Google), Animesh Singh (IBM), and Ellis Bigelow (Google).
On behalf of the entire community, we are proud to announce Kubeflow 1.0, our first major release. Kubeflow was open sourced at Kubecon USA in December 2017, and during the last two years the Kubeflow Project has grown beyond our wildest expectations. There are now hundreds of contributors from over 30 participating organizations.
Kubeflow’s goal is to make it easy for machine learning (ML) engineers and data scientists to leverage cloud assets (public or on-premise) for ML…
We are excited that O’Reilly’s Open Source Software Conference (OSCON) has added “AI Enhanced” as an official track this year, exploring topics around applied artificial intelligence and machine learning. A majority of those talks will tackle the open source tools and best practices that ML professionals are developing to operationalize machine learning models & workflows.
There will be a bunch of Kubeflow contributors and users attending OSCON to discuss how they are approaching ML Ops.
The Kubeflow Product Management Working Group is excited to announce the release Kubeflow v0.5, which brings significant improvements to users’ model development experience!
New features in Kubeflow 0.5 include:
We thought the best way to illustrate Kubeflow 0.5’s …
An update from the Product Management team on what shipped with Kubeflow 0.4, including more details on Pipelines and examples on building, training and deploying models from Jupyter notebooks.
Kubeflow is building the leading Kubernetes-based open source community for Machine Learning (ML) software application development. Today, we’re pleased to announce that Kubeflow 0.4 is available and includes many important enhancements to speed the development of ML applications. Here we’ll review the new Pipelines functionality, take a look at Kubeflow 0.5 planning, and introduce two new community initiatives: the Kubeflow User Survey and the upcoming Kubeflow Day in Los Angeles.
The Kubeflow Product Management Team
Just a year ago, we released Kubeflow 0.1 at KubeCon Austin. Since then, the project and its community have grown significantly, both in members and contributions. As of December 18th, there are 100+ active Kubeflow members with the support of over 30+ organizations. In the last 6 months alone, the number of unique PR authors per month has nearly doubled from 40 to 80. (You can page through all these stats yourself here). Even better, many supporting projects have collaborated with the Kubeflow community to extend and expand the value of the ecosystem. …
Vartika Singh (NVIDIA), Jeffrey Tseng (PM for RAPIDS, NVIDIA), Pete MacKinnon (Red Hat), Abhishek Gupta (Google)
Data science workflows are complex, non-trivial to manage, and compute intensive. NVIDIA and the Kubeflow team are trying to simplify the process and, at the same time, speed them up.
Inherently complicated, data science pipelines span the iterative phases of ingestion, validation, training, deployment, and more. They scale across clusters of servers running software from different parts of the workflow. And they are often…
The Kubeflow Product Management Team
Kubeflow is building the leading Kubernetes-based open source community for Machine Learning (ML) software application development. We wanted to provide details on new features and valuable new functionality that’s been committed into the upcoming Kubeflow 0.4 release, and how they’ll benefit AI development. As of December 10, the Kubeflow 0.4 release development for the P0 and P1 priority open items is ~65% completed and a preview of the release is expected to be available by the end of the month.
Over the last year, the Kubeflow Community has effectively organized and delivered 90-day software releases…
This year’s GraphQL Summit conference was in San Francisco on October 25-26. It was an incredible event with tons of talks, panels, and hallway discussions about moving the GraphQL community forward.
If you couldn’t make it this year, we’ve put together a three-minute highlight video to capture the electric atmosphere at the event:
And now, without further ado, here’s the full playlist on YouTube with all 30 talk videos:
If you’ve got some time off in the coming weeks, that’s a great opportunity to kick back, make some tea, and start absorbing the…
GraphQL Summit 2017 is only a month away, on October 25 and 26, and we’re excited to roll out the full list of speakers who will be sharing their GraphQL best practices and adoption stories. Stay tuned for the full conference schedule with talk times early next week.
Tickets are selling fast, so reserve your seat now! Use the promo code GRAPHQLFTW for 10% off, or use the new buddy pass promotion to get 2 tickets for 20% off.
Let’s be real: It can be hard to find the time to consume a dense, 10-minute read about technical best practices. As much as we love churning those posts out on the Apollo publication, we don’t want time to stand between you and leveling up your GraphQL skills.
That’s why we’re excited to launch Apollo Mission Briefing, a brand new video series starring the newest member of the Apollo team, Peggy Rayzis! She’ll be making topical, bite-sized videos featuring the GraphQL tips and tricks that you most want to learn. …
open source strategy @kubeflow, formerly @apollographql @docker & @newrelic. makes a mean frittata.