All Blog Posts Tagged 'GCP' (3)

Scalable IoT ML Platform with Apache Kafka + Deep Learning + MQTT

I built a scenario for a hybrid machine learning infrastructure leveraging Apache Kafka as scalable central nervous system. The public cloud is used for training analytic models at extreme scale (e.g. using TensorFlow and TPUs on Google Cloud Platform (GCP) via Google ML Engine. The predictions (i.e.…

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Added by Kai Waehner on August 1, 2018 at 11:00pm — 1 Comment

Model Serving: Stream Processing vs. RPC / REST - A Deep Learning Example with TensorFlow and Kafka

Machine Learning / Deep Learning models can be used in different ways to do predictions. My preferred way is to deploy an analytic model directly into a stream processing application (like Kafka Streams or KSQL). You could e.g. use the …

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Added by Kai Waehner on July 8, 2018 at 4:26pm — No Comments

Deep Learning Infrastructure for Extreme Scale with  the Apache Kafka Open Source Ecosystem

I had a new talk presented at "Codemotion Amsterdam 2018" this week. I discussed the relation of Apache Kafka and Machine Learning to build a Machine Learning infrastructure for extreme scale.

Long version of the title:

"Deep Learning at Extreme Scale (in the Cloud)  with the Apache Kafka Open Source Ecosystem - How to Build a Machine Learning Infrastructure with Kafka, Connect, Streams, KSQL, etc."

As always, I want to share the slide deck. The talk was…

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Added by Kai Waehner on May 8, 2018 at 9:30pm — No Comments