The landscape of AI infrastructure - Changelog Master Fee...

What this episode covers

Being that this is “practical” AI, we decided that it would be good to take time to discuss various aspects of AI infrastructure. In this full-connected episode, we discuss our personal/local infrastructure along with trends in AI, including infra for training, serving, and data management.Sponsors:DigitalOcean – Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads. Get started for free with a $100 credit. Learn more at do.co/changelog. DataEngPodcast – A podcast about data engineering and modern data infrastructure. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Our locally installed stuff:JupyterDockerPythonGoPostmanWhere we see AI workflows running:AWSGCPAzureKubernetes and KubeFlowOn-prem workstations: NVIDIALambda LabsSystem76Experimentation / model development:JupyterLabGoogle ColaboratoryAWS SageMakerData Science platforms: DominoDataBricksDataRobotH2O.aiPipelining and automation:PachydermAirflowLuigiModel optimization: OpenVinoTensorRTTensorFlow LiteServing:MXNetTensorFlow servingSeldonMonitoring/visibility:TensorBoardNetronKnock knockPrometheusElasticSearchUpcoming Events: Register for upcoming webinars here!

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How long is this episode of Changelog Master Feed?

This episode is 51 minutes long.

When was this Changelog Master Feed episode published?

This episode was published on April 2, 2019.

What is this episode about?

Being that this is “practical” AI, we decided that it would be good to take time to discuss various aspects of AI infrastructure. In this full-connected episode, we discuss our personal/local infrastructure along with trends in AI, including infra...

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