Anyscale Connect

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Anyscale Connect

Ray Serve 101: Deploying your first ML model locally and as a managed service

Join this webinar for a primer on Ray Serve - an easy-to-use, scalable model serving library built on top of Ray.

05 . 05 . 2022   |   04:00 PM (UTC)Watch video
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Anyscale Connect

RL in production: A roundtable discussion with industry leaders

Reinforcement learning (RL) is the new kid on the machine learning block. Why are industry leaders giving RL a try? When...

04 . 13 . 2022   |   04:00 PM (UTC)Watch video
ray serve

Anyscale Connect

Introduction to Ray Serve

Ray Serve is Ray’s model serving library. Traditionally, model serving requires configuring a web server or a cloud-host...

03 . 23 . 2022   |   04:00 PM (UTC)Watch video

Anyscale Connect

Simplify and scale your XGBoost model using Ray on Anyscale

In this webinar, we will cover how Ray, a universal distributed computing framework running on Anyscale, simplifies the...

03 . 09 . 2022   |   05:00 PM (UTC)Register
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Anyscale Connect

Getting started with Anyscale concepts, code, and clusters

In this webinar, the Anyscale solutions team will guide you through the steps of taking your Python workloads to the clo...

03 . 01 . 2022   |   04:00 PM (UTC)Watch video
Ray Datasets

Anyscale Connect

Ray Datasets: Scalable data preprocessing for distributed ML

Ray Datasets is a Ray-native distributed dataset library that serves as the standard way to load, process, and exchange...

02 . 23 . 2022   |   05:00 PM (UTC)Watch video
Ray Train

Anyscale Connect

Ray Train: Production-ready distributed deep learning

Today, most frameworks for deep learning prototyping, training, and distributing to a cluster are either powerful and in...

02 . 09 . 2022   |   05:00 PM (UTC)Watch video
Time series

Anyscale Connect

Faster time series forecasting using Ray and Anyscale

Forecasting is an important part of running any business. The “embarrassingly parallel” pattern of distributed computin...

01 . 18 . 2022   |   05:00 PM (UTC)Watch video
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Anyscale Connect

RLlib: Scalable RL training and serving in the cloud with Ray

RLlib on Ray is an industrial-strength reinforcement learning (RL) framework with the power of Ray autoscaling built in....

12 . 01 . 2021   |   05:00 PM (UTC)Watch video

Anyscale Connect

Scaling Machine Learning Workloads with Ray

Modern machine learning (ML) workloads, such as deep learning and large-scale model training, are compute-intensive and...

11 . 17 . 2021   |   05:00 PM (UTC)Watch video