Scaling Computer Vision Workloads with Ray Workshop

SFBayACM (www.sfbayacm.org)

A 2-day workshop intended to teach you how you can architect reliable scalable AI solutions with Ray Distributed

Hacker Dojo

<h2>Abstract </h2><p>Distributed Computing is the foundational underpinning of AI with increasing model size. In this 2-day workshop, we will cover Ray, an open-source tool that is used by a large number of startups and top Enterprises to run their deep learning workloads. Whether you are a data scientist, a DevOps engineer or someone who wants to take your deep learning knowledge to production, this is the course for you.</p><p>The course is offered in-person to enchance your learning experience. </p><h3>Motivation</h3><p>Distributed computing is becoming increasingly relevant for modern ML systems. OpenAI&#x27;s recent paper <a href="https://openai.com/blog/ai-and-compute/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">AI and Compute</a> suggests that the amount of compute needed to train AI models has roughly doubled every 3.5 months since 2012.</p><p>However, distributed systems are hard to program. Scaling a Python ML application to a cluster introduces challenges in communication, scheduling, security, failure handling, heterogeneity, transparency, and much more.</p><p>This context drove the development of Ray: a solution to enable developers to run Python code on clusters without having to think about how to orchestrate and utilize individual machines. You do not need to have a PhD in distributed systems to run large-scale distributed AI training and can instead focus on developing machine learning workloads.</p><p>For the first time, <strong>SF Bay ACM</strong> is partnering with <strong>Anyscale</strong>, a company behind Ray, to introduce to you this exciting and fast growing field - distributed ML applications.Sponsorship</p><h3>Event description</h3><p>This 2-day workshop is intended to teach you what Ray, Ray Core, Ray AI Runtime are and how to use them to scale ML applications and utilize large compute clusters.</p><p>During <strong>day 1</strong>, you will focus on Ray fundamentals. Via <strong>hands-on exercises and notebooks</strong> you will explore Ray APIs that allow you to run Python scripts and ML workloads in a distributed way.</p><p>During <strong>day 2</strong>, you will focus on computer vision tasks and explore how to perform batch inference and model training in a distributed way. You will also learn about approaches to debugging, optimizing and monitoring Ray clusters.</p><p><strong>NOTE</strong>: Attendees will have access to the full Deep Learning infra for training AI models and deploying at scale. There is a nominal charge for the 2-days of lecture &amp; hands-on exercises - please sign up early as we will keep the attendee count low. <strong>Registration also includes a 1-year SFBay ACM membership ($20 value) and select registrants will have the additional value of Ray Summit 2023 passes &amp; all registrants will get Anyscale swag :)</strong></p><p><strong>Interactive notebooks, hands-on exercises, slides and QA sessions </strong>will help you understand relevant concepts, APIs and best practices.</p><p>Check the event agenda below for more details.</p><h3>Access to the training materials</h3><p>You will have access to the dedicated GitHub repository with all training resources.</p><p>You will be provided with a dedicated Anyscale compute cluster that you will use for the duration of training. After the event, you will always be able to run Ray on your laptop with the training material on the Github repo.</p><h3>Organizers</h3><ul><li>Anyscale: Kamil Kaczmarek, Jules Damji, Emmy Li</li><li>SFBay ACM Prof Dev Chair: Yashesh Shroff</li></ul><p><strong>Join us to participate in the mix of Ray technical training and community building!</strong></p><p>Lunch, snacks, coffee, and community camaraderie included.</p><h2>Saturday, March 11th: 9:30am-6pm, Pacific Time</h2><h3>Modules 1-5: Distributed Systems with Ray, Foundational</h3><ul><li>Overview of Ray, Part 1 &amp; 2 + labs</li><li>Ray Core, Part 1 &amp; 2 + labs</li><li>Introduction to Ray AI Runtime + labs</li></ul><h2>Sunday, March 12: 9:30am - 5pm, Pacific Time</h2><h3>Modules 6-8: Advanced Concepts</h3><ul><li>Batch inference</li><li>Observabilioty (debug, optimize, monitor)</li><li>Model training</li><h3></h3></ul><p><strong>Organizer &amp; SFBay ACM Prof Dev Chair</strong>: Yashesh Shroff  <a href="http://twitter.com/yashroff" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">@yashroff</a></p><p>For more information about Registration, please contact SF Bay Chapter of the ACM, yshroff at g | m | a i l</p><p><strong>We look forward to seeing you at the workshop!</strong></p><p></p><p> </p>

Agenda

9:30am: doors open, morning coffee 10:00am: Welcome message - ACM SF Bay 10:05am: Welcome message - Ray/Anyscale 10:10am: Round of introductions 10:30am: Invited talk 10:50am: Short coffee break 11:10am: Course logistics (cluster, access, etc.)

Course Intro

Overview of Ray, Part 1

Lunch

Overview of Ray, Part 2 (with labs)

Ray Core, Part 1 (with labs)

Ray AI Runtime

Batch Inference

Lunch - Day 2

Observability (debug, optimize, monitor)

Coffee break

Model Training

Wrap up 

Our {communityGuidelinesLink} describe the sort of content we prohibit on Eventbrite. If you suspect an event may be in violation, you can report it to us so we can investigate.

To report other categories of prohibited or illegal content, submit {link}

Scaling Computer Vision Workloads with Ray Workshop

More events from SFBayACM (www.sfbayacm.org)

Discover more events from SFBayACM (www.sfbayacm.org), from Science & Tech to other experiences you might love.

Still looking for the right event?

Explore all events in Mountain View and filter by date, category, and more to find the perfect fit.

Scaling Computer Vision Workloads with Ray Workshop

More events from SFBayACM (www.sfbayacm.org)

Discover more events from SFBayACM (www.sfbayacm.org), from Science & Tech to other experiences you might love.

You might also like...

Browse more events with different dates, prices, and formats to find your next great experience.

Still looking for the right event?

Explore all events in Mountain View and filter by date, category, and more to find the perfect fit.