ML/AI in the cloud - State of the Art in 2025
from OpsGuru (London, the UK)
About speaker
Experienced engineering leader with a strong interest in distributed, highly-scalable and cloud-based systems.
About speakers company
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Abstracts
Creating a framework to make sense of the sheer volume of options to run ML workloads in the cloud. To help explain the tradeoffs between one and the other. Aimed at experienced cloud architects who are approaching the ML/AI domain.
In only a few years, the number of options available to build and deploy ML workloads in the Cloud has literally exploded. Each provider now offers various of “slightly different” services, each with its own minor trade-offs. Furthermore, running your ML models in 2025 is definitely not like doing it in 2022: some of the new managed options offer unique value propositions that shouldn’t be missed. It’s easy to get overwhelmed!
This talk will introduce a framework that will help you choose among the various options available on AWS, Azure & GCP, focusing on what is state-of-the-art in 2025. We’ll look at MLOps and its evolution. We’ll explain the trade-offs between different categories from a technical and organizational standpoint.
We’ll then do a deep dive into some of the new services, and features, that have been recently launched and that are quickly evolving to change the game: AWS BedRock, Azure AI Services and GCP Vertex AI.
The Program Committee has not yet taken a decision on this talk
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