May 21, 2026
|
Convene, One Liberty Plaza

Ray Day: NYC

Scale AI with confidence— Learn directly from Ray’s creators and power builders at this free technical event featuring real-world talks and hands-on workshops designed to move your AI workloads from experiment to production.

Ray Day NYC

What to expect

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Technical Talks

Community-Led Talks

Learn real-world lessons, proven architectures, and scaling patterns from teams actively building with Ray.

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Direct Expert Access

Engage directly with Ray’s creators and builders to get answers, insights, and best practices for productionizing AI.

Icon for Hands-on Workshops

Hands-on Workshops

Accelerate your path to production with an instructor-led Ray workshop covering Ray’s AI libraries.

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Peer Networking

Connect with experienced engineers and AI teams and learn from shared experiences.

Featured Speakers

Robert Nishihara

Robert Nishihara

Co-founder

Co-founder
Serrana Aguirregaray

Serrana Aguirregaray

Senior Software Engineer, Machine Learning Platform

Senior Software Engineer, Machine Learning Platform
Nate Qu

Nate Qu

AVP, Data & AI Platform

AVP, Data & AI Platform
Christian Stano

Christian Stano

Field CTO

Field CTO
Aman Choudhary

Aman Choudhary

Software Engineer

Software Engineer
Neil Wadhvana

Neil Wadhvana

Group Lead- ML Frameworks, Platform and Data Ops

Group Lead- ML Frameworks, Platform and Data Ops
Elizabeth Hu

Elizabeth Hu

Product Manager

Product Manager
Akshay Malik

Akshay Malik

Engineering Manager

Engineering Manager
Ian Jordan

Ian Jordan

Member of Technical Staff- Distributed AI Training

Member of Technical Staff- Distributed AI Training
Suman Debnath

Suman Debnath

Technical Lead - ML

Technical Lead - ML

Agenda at a glance

Morning

9:00 - 9:30 AMRegistration + Networking
9:30 - 10:15 AMOpening Remarks + Keynote: Scaling AI with Ray
10:15 AM - 12:30 PMRay User Talks
12:30 - 1:30 PMExpo hall: Lunch and Networking

Afternoon

1:15 - 4:45 PM
Hands-on workshop
VLA Track — Fine tune VLA models for physical AI
Ray Track — Distributed training with Ray and PyTorch
1:15 - 1:30 PM
Training kickoff and environment setup
Training kickoff and environment setup
1:30 - 2:15 PM
Module 1: Ray, the Foundation for Distributed Physical AI
Overview of Ray's core concepts: How Ray provides simple, unified APIs for cluster computing. Ray Libraries. Setup and basic execution examples.
Module 1: Scaling Python for AI Workloads with Ray
Learn Ray’s core concepts, including tasks, actors, and clusters. Understand how Ray scales Python and ML workloads, manage resources, and run distributed programs reliably across nodes.
2:15 - 3:15 PM
Module 2: Large scale VLA fine-tuning
Overview of data preprocessing and distributed training libraries, Ray Data & Ray Train, with an emphasis on vision language action models.
Module 2: Building scalable multimodal data pipelines
Ingest, transform, and preprocess large multimodal datasets, then create streaming pipelines to chunk data, generate embeddings at scale.
3:15 - 3:30 PM
Break
Break
3:30 - 4:30 PM
Module 3: Robotics simulation
Using Ray Core to parallelize computationally intensive simulations (e.g., Mujoco, Isaac Sim)
Module 3: Distributed Training at scale
Scale model training with data and model parallelism (e.g., FSDP). Run distributed jobs, manage checkpoints, and integrate frameworks like PyTorch with reliability and performance.
4:30 - 4:45 PM
Q&A and closing remarks
Q&A and closing remarks
2:00 - 3:15 PM
Future of Ray: Technical Roundtable (Invite-only)
Please reach out to your Anyscale contact for more information
4:45 - 6:30 PM
Happy Hour + Networking

Thank you to our sponsors

sponsor aws
Microsoft logo (2012) 1
Core Weave

Convene, One Liberty Plaza

Convene One Liberty Plaza
1 Liberty St, New York, NY 10006
Ray Day NYC - Convene, One Liberty Plaza

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