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Canonical has been working closely with NVIDIA for many years to fuel innovation and support open source software with the power of accelerated processing. That already allowed us to jointly deliver GPU acceleration into Linux, OpenStack and container workloads on traditional datacenter servers. We continued working together, with Ubuntu ...
Register for the event Who is this event for? After the huge success of its latest virtual event on Kubernetes for the EMEA region, Canonical brings its expertise to the US with another educational discussion. On July 31st, Canonical’s panel of experts come together to share their insights from years of working with developers and ...
What is Ubuntu Masters? The Ubuntu Masters conference stemmed from a vision to bring the engineering community together to freely exchange innovative ideas, in the spirit of open source. After two hugely successful conferences, connecting IT teams across industries and countries, and featuring speakers from innovators such as Adobe, Netfl ...
With over 41 billion IoT devices expected to be active by 2027 — that’s at least 5 devices for every person on the planet — edge computing has emerged as a tenable solution to prevent the impending snowballing of network traffic. Allow me to lift the veil on this buzzword and explain why it’s been ...
Watch on demand With the benefits of Kubernetes now well established in the containerisation space, its adoption continues to exponentially increase. However, as developers and enterprises alike turn to Kubernetes for more and more types of use cases, available Kubernetes solutions often fail to meet their exact needs. Canonical’s extensi ...
The Ubuntu Masters Conference is a platform for IT practitioners to share how they are solving industry-wide challenges with the global engineering community. These are the real-life use cases they are executing in their professional environments today, giving you actionable ideas to take into your own corporate setting. Join us on Thursd ...
This is part of a blog series on the impact that 5G and GPUs at the edge will have on the roll out of new AI solutions. You can read the other posts here. Recap In part 1 we talked about the industrial applications and benefits that 5G and fast compute at the edge will ...
This is part of a blog series on the impact that 5G and GPUs at the edge will have on the roll out of new AI solutions. You can read the other posts here. Recap In part 1 we talked about the industrial applications and benefits that 5G and fast compute at the edge will ...
This is part of a blog series on the impact that 5G and GPUs at the edge will have on the roll out of new AI solutions. You can read the other posts here. Recap In part 1 we talked about the industrial applications and benefits that 5G and fast compute at the edge will ...
This is part of a blog series on the impact that 5G and GPUs at the edge will have on the roll out of new AI solutions. You can read the other posts here. Series overview In part 1 we will talk about the industrial applications and benefits that 5G and fast compute at the ...
Deploying AI/ML solutions in latency-sensitive use cases requires a new solution architecture approach for many businesses. Fast computational units (i.e. GPUs) and low-latency connections (i.e. 5G) allow for AI/ML models to be executed outside the sensors/actuators (e.g. cameras & robotic arms). This reduces costs through lower hardware ...
Cloud native software such as containers and Kubernetes and IoT/edge are playing a prominent role in the digital transformation of enterprise organisations. They are particularly critical to DevOps teams that are focused on faster software releases and more efficient IT operations through collaboration and automation. Most cloud native so ...
