Accelerating Machine Learning in Kubernetes at Massive Scale

In this webinar

As the MLOps ecosystem continues to grow at break-neck speed. Identifying the right tools for high performance production machine learning can become overwhelming.

In this session we provide a hands-on guide on how you can productionize optimized machine learning models in scalable ecosystems using production-ready open source tools & frameworks that scale.

By watching this video you’ll learn:

    • How to leverage these tools for your own models
    • The broad range of pre-trained models available
    • How each of the tools in the stack interoperate throughout the production machine learning lifecycle with a practical example
    • How to leverage ONNX Open Standard and Runtime for optimization
    • Scaling and monitoring machine learning at scale with low complexity


Alejandro Saucedo

Engineering Director, Seldon

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Open Source

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