In-person + Virtual
16 -20 May
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Wednesday, May 18 • 16:30 - 17:05
Accelerating High-Performance Machine Learning at Scale in Kubernetes - Alejandro Saucedo, The Institute for Ethical AI & Machine Learning & Elena Neroslavskaya, Microsoft

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Identifying the right tools for high-performance production machine learning may be overwhelming as the ecosystem continues to grow at break-neck speed. In this industry collaboration we aim to provide a hands-on guide on how practitioners can productionize optimized machine learning models in cloud native ecosystems using production-ready open source frameworks. We will dive into a practical use-case, deploying the renowned GPT-2 NLP machine learning model in Kubernetes leveraging the ONNX Runtime from the Seldon Core Triton server, which will provide us with a scalable production NLP microservice serving the ML model that can power intelligent text generation applications. We will present some of the key challenges currently being faced in the MLOps space, as well as how each of the tools in the stack interoperate throughout the production machine learning lifecycle.

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avatar for Alejandro Saucedo

Alejandro Saucedo

Engineering Director, Seldon Technologies
Alejandro Saucedo is the Director of Machine Learning Engineering at Seldon Technologies, where he leads teams of machine learning engineers focused on the scalability and extensibility of machine learning deployment and monitoring products with over 5 million installations. Alejandro... Read More →
avatar for Elena Neroslavskaya

Elena Neroslavskaya

Cloud Solution Architect, Microsoft
Cloud Solution Architect and Technology Enthusiast at Microsoft. Love everything Cloud Native and ML. Working with many client on serving their ML models and optimizing the processes.

Wednesday May 18, 2022 16:30 - 17:05 CEST
Pavilion 4, Room B | Level 2 | Central Forum