Skip to main content
  1. Blog
  2. Article

Canonical
on 5 July 2017

Ubuntu Foundations Development Summary: July 5, 2017


This newsletter is to provide a status update from the Ubuntu Foundations Team. There will also be highlights provided for any interesting subjects the team may be working on.

If you would like to reach the Foundations team, you can find us at the #ubuntu-devel channel on freenode.

Highlights

The State of the Archive

  • OCaml 4.04 transition in progress
  • The initial ghc migration for the cycle has completed, another round is now in progress
  • The opt-in Artful Alpha 1 was released this week for several flavors. The archive is again unfrozen and packages are proceeding normally.

Upcoming Ubuntu Dates

16.10 EoL in July 2017
16.04.3 point release is scheduled for August 3, 2017

Weekly Meeting

IRC Log: http://ubottu.com/meetingology/logs/ubuntu-meeting/2017/ubuntu-meeting.2017-06-29-15.01.moin.txt

Related posts


estelacarmona
11 June 2026

The next era of telco clouds: get open infrastructure choice with Sylva and Canonical Kubernetes

5G Article

Achieving vendor neutrality in telco clouds requires an infrastructure layer that respects open standards, without wrapping them in rigid platform layers. By combining upstream alignment with up to 15 years of support longevity, Canonical’s approach to Sylva is built around a requirement that matters deeply to telcos: follow upstream clou ...


Benjamin Ryzman
9 June 2026

What is RDMA over Converged Ethernet (RoCE)?

AI Networking

Previous articles walked through RDMA (Remote Direct Memory Access) as a programming model and InfiniBand as the fabric that was built around it. Both led to the same conclusion, even if it was never stated outright: moving data, not compute, becomes the bottleneck once systems scale. So what happens when you want RDMA, but you’re ...


Freyja Cooper
5 June 2026

Beyond tokens per watt – using Ubuntu 26.04 LTS for AI

AI Article

Tokens per watt (TpW) – the measure of useful AI work produced per watt of energy consumed – is the metric at top of mind for CEOs, heads of AI, and infrastructure teams alike. With the tremendous cost of GPU clusters, extracting as much value as possible from the expense is critical. But in the ...