Ubuntu AI Podcasts | by Canonical
Ubuntu AI is a community where experts talk about the impact of artificial intelligence, machine learning and data science. There will be technical and business conversations focused on open-source technology and its importance of it in the area.
Andreea Munteanu, AI/ML Product Manager, and Maciej Mazur, Principal AI/ML Engineer, are your hosts, walking through a wide range of conversations about machine learning operations, open source tooling, artificial intelligence and more…
If you want to read more from us, you can go to our publication: https://medium.com/ubuntu-ai
Podcasting since 2023 • 19 episodes
Ubuntu AI Podcasts | by Canonical
Latest Episodes
Ubuntu AI | S2E6 | Kubernetes Orchestration for AI workloads: how to optimise it
A lot of the AI tools are cloud-native applications. Kubernetes is often used, yet professionals from the ML space lack knowledge about how to maximise its potential. From how to optimise the Kubernetes usage to how Kubernetes orchestrator simp...
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Season 2
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Episode 6
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38:25
Ubuntu AI | S2E5 | All about Ops: DataOps, MLOps, DevOps, AIOps
The emergence of DevOps has changed the way enterprises handle software delivery processes, leading to faster and improved quality. After DevOps has been coined, other practices such as DataOps, MLOps, and AIOps have emerged. In the podcast, Mi...
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Season 2
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Episode 5
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28:46
Ubuntu AI | S2E4 | AI on public cloud: what should you know?
Weka report from 2024 showed that 47% of respondents will use the public cloud as the primary place to develop their machine learning projects. This is a result of a correlation of factors which include the need for compute power, easy scalabil...
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Season 2
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Episode 4
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29:11
Ubuntu AI | S2E3 | GPU utilisation optimisation at KubeconEU 2024
Maciej is not only the host of our podcast, but also an experienced keynote speaker. After a joint keynote at KubeconEU 2023 about highly sensitive data, in 2024, Maciej goes to Paris to talk about the GPU utilisation. During our podcast, we co...
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Season 2
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Episode 3
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28:01