Skip to main content

Your submission was sent successfully! Close

Thank you for signing up for our newsletter!
In these regular emails you will find the latest updates from Canonical and upcoming events where you can meet our team.Close

Thank you for contacting us. A member of our team will be in touch shortly. Close

An error occurred while submitting your form. Please try again or file a bug report. Close

  1. Blog
  2. Article

Ellen Arnold
on 16 January 2015

Skymind join Charm Partner Programme


Canonical is excited to announce the newest addition to their Charm Partner Programme, Skymind.  Skymind is the company behind the open-source project DeepLearning4J, which is the first commercial-grade, open-source deep-learning library written in Java.

Samuel Cozannet, Strategic Programme Manager at Canonical says, “We are very excited to welcome DeepLearning4J to our ecosystem. This demonstrates Juju adding value at the cutting edge of Data Science. We are looking forward to business solutions leveraging both the power of Deep Learning and the simplicity of Juju to bring value to our customers and partners.”

Adam Gibson, co-founder of Skymind, says “Combining Canonical’s Juju Charm program with Deeplearning4j will bring powerful new data science tools to a much wider user base. With Juju Charm, Skymind technology will become even easier to deploy in the cloud.”

Canonical’s Charm Partner Programme enables solution providers to make best use of Canonical’s award-winning open source cloud orchestration tool, Juju, which allows them to  instantly integrate into hundreds of other solutions; scale at the click of button and share blueprint deployments in a drag-and-drop environment. To learn more about the programme, please visit our partner portal.

Skymind’s Deeplearning4j framework is making deep and scalable neural nets to all developers who need to handle unstructured data such as raw text, images, sound and times series. Its artificial neural nets are being used to augment text and image search, conduct sentiment analysis identify anomalies and create powerful recommendation engines.

Related posts


Benjamin Ryzman
5 September 2025

Bringing Canonical Kubernetes to Sylva: a new chapter for European telco clouds

5G Article

The telecommunications industry is undergoing its most significant transformation in decades. The move from vertically integrated, proprietary systems to disaggregated, cloud-native infrastructure has unlocked enormous potential for agility and innovation. Yet, for many operators, the challenge has been how to realize that potential while ...


Giulia Lanzafame
4 September 2025

Implement an enterprise-ready data lakehouse architecture with Spark and Kyuubi 

Data Platform Article

Here at Canonical we are excited to announce that we have shipped the first release of our solution for enterprise-ready data lakehouses, built on the combination of Apache Spark and Apache Kyuubi. Using our Charmed Apache Kyuubi in integration with Spark, you can deliver a robust, production-level, and open source data lakehouse . Our Ap ...


Lidia Luna Puerta
3 September 2025

54% of European enterprises want long term open source support: how Ubuntu Pro + Support delivers

Ubuntu Article

Europe’s open source ecosystem is at a turning point. The Linux Foundation’s Open Source as Europe’s Strategic Advantage: Trends, Barriers, and Priorities for the European Open Source Community amid Regulatory and Geopolitical Shifts report shows organizations across the continent are broadly adopting open source software (OSS). But adopt ...