Anyscale Connect

Event Type

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

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 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

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

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 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

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

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

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

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

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