Leveraging open source with Ubuntu Pro on Azure: Economics, Velocity & Security

In this session we will talk about: Inference engines deployment

In this session we will talk about, workstation vs server vs cloud, ephemeral environments, GPU/acceleration.

Although the public cloud market is mostly dominated by the hyperscalers, using cloud services from AWS, Azure or Google in some parts of the world is challenging due to local regulations, digital sovereignty concerns and latency issues. As a result, many businesses have started implementing their own public cloud infrastructure to offer cloud services on local markets. Leveraging open source technologies enabled them to reduce the TCO of cloud infrastructure maintenance and offer their services to their customers at a better price than the hyperscalers.

Join Thierry Carrez, VP of Engineering at the Open Infrastructure Foundation, Nauman Vawda, CEO & Founder at iVolve Technologies and Tytus Kurek, Product Manager at Canonical to learn how OpenStack enables businesses to implement local public cloud infrastructure.

In the world of IoT, it is crucial to be fully in control of your devices. Over-the-air (OTA) updates are essential for a distributed set of devices but must be carefully managed to ensure that an update is not pushed at a time where the device is active and operation should not be interrupted. To enable this level of control, we have developed the Snap Store Proxy, an on-premise edge proxy to the general Snap Store that can do more than simply managing updates. Join Holly Hall, Product Lead at Canonical and Przemysław Suliga, Software Engineer at Canonical, to gain an understanding of the features and applications of the Snap Store Proxy, with a technical demonstration of how to set up, configure and use the proxy to control updates.

The need for efficient allocation of compute resources and planning of utilization capacity is fast becoming a necessity in many Enterprise Machine Learning Operation endeavors. Optimizing resource allocation, from both a cost and technical perspective, is driving many organizations to strongly consider a hybrid-cloud infrastructure setup.

Architectural best practices that have emerged in recent times around ML workflow pipelines, cloud-agnostic model deployment and serving, feature stores, data versioning and more, make it easy for companies looking in this direction to bootstrap and get up and running.

In this webinar, we will cover:
1. How to effectively bring your models to production across clouds
2. How to make the best use of feature stores
3. How to use Kubeflow Pipelines with a feature store
4. How to use Apache Hudi to unify historical and new data
5. How to use Kubeflow with Apache Spark operator
6. How to leverage model-driven operators to deploy and manage your MLOps stack
7. Storage agnostic best practices (s3, gs, az storage) in the public cloud and (ceph) on-prem

Join us to discuss Ubuntu Pro on Azure for the LATAM Market, we will be going through common use cases we see and key features that will help take your enterprise to the next level.