Data Conference Databasea Query.Farm index
Speakers

Jiaxin Shan

Employers on the program

  1. 2022ByteDance1 talk
  2. 2019Amazon Web Services3 talks
Events2
Conferences2
Talks4
Years active2019–2022
Miles between events4172 in-person events · 1 country

Appearances by year

201920202021202220232024202520262027
  • AWS re:Invent
  • Ray Summit

Talks

DateEventConferenceRoleTitleLinks
Aug 22, 2022Ray Summit 2022Ray SummitspeakerKubeRay: A Kubernetes Ray clustering solution
as ByteDance
Dec 2, 2019AWS re:Invent 2019AWS re:Inventworkshop[REPEAT 1] Machine learning with Kubeflow on AWS
as Amazon Web Services
In this hands-on workshop, learn how to build and run machine learning models using open-source software. We cover creating a Kubernetes cluster using Amazon…Show less

In this hands-on workshop, learn how to build and run machine learning models using open-source software. We cover creating a Kubernetes cluster using Amazon Elastic Kubernetes Service (Amazon EKS) and accelerated EC2 instances; training, optimizing, and deploying an ML model to your cluster; and building a pipeline to automate the entire process.

Slides
Dec 2, 2019AWS re:Invent 2019AWS re:Inventchalk talk[REPEAT 1] Move your machine learning workloads to Amazon EKS
as AWS
With the increased importance of machine learning (ML) and artificial intelligence (AI), companies are assembling dedicated ML teams and looking to move their…Show less

With the increased importance of machine learning (ML) and artificial intelligence (AI), companies are assembling dedicated ML teams and looking to move their ML infrastructure to Amazon Elastic Kubernetes Service (Amazon EKS). In this session, we discuss the principles and technical challenges in moving ML workloads to Kubernetes.

Slides
Dec 2, 2019AWS re:Invent 2019AWS re:Inventchalk talk[REPEAT 1] Performance-tuning tips and tricks for Apache Spark on Kubernetes
as Amazon EKS
Apache Spark is a popular execution framework for running machine-learning workloads. Since the beta release of spark-operator in early 2019, more users are…Show less

Apache Spark is a popular execution framework for running machine-learning workloads. Since the beta release of spark-operator in early 2019, more users are determined to move their big data analytics workloads to Kubernetes.

Slides

Frequent co-speakers

SpeakerShared eventsShared talksLast together
Travis Addair2—2022
Peter Dalbhanjan122019
Ali Kanso112022
Arun Gupta112019
Mike Stefaniak112019

Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.