Anyscale Courses

Foundation Models in Drug Discovery - Ray Summit 2024

Explore how foundation models are revolutionizing drug discovery across multiple biological domains. Gain insights into Recursion's large-scale approach using GPUs, robotics, and petabytes of data to transform pharmaceutical innovation.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

A Brief History of Video Generation - Ray Summit 2024

Explore the rapid evolution of generative video with Runway's CTO, from recent breakthroughs to future possibilities. Gain insights into AI's transformative impact on audiovisual creativity and storytelling.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Instacart's Generative AI Strategy - Transforming Product Experience and Internal Productivity

Dive into Instacart's generative AI strategy with co-founder Brandon Leonardo. Explore how AI transforms product experience, boosts internal productivity, and shapes the company's future.

• YouTube
• 16 minutes
• Self-Paced
• Free Video

Transforming the Physical World with AI - Samsara's Journey in Fleet Management Technology

Explore how Samsara leverages Ray and Anyscale to revolutionize AI in fleet management. Discover the impact of AI across their entire pipeline, from training to deployment, and its transformative effects on physical operations.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

Optimized AI Workloads on Anyscale with RayTurbo

Optimize AI workloads globally with Ray's unified framework. Explore advanced instance management, multi-environment compute, and governance solutions to prevent AI sprawl.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

Unlocking Agentic AI with MCP

Discover how MCP revolutionizes agentic AI by solving integration challenges and error handling, with practical demos for local use and remote deployment considerations.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

Ray Libraries in Practice - Multimodal AI Workloads

Discover how to build and deploy multimodal AI applications using Ray libraries for distributed computing and machine learning workloads.

• YouTube
• 56 minutes
• Self-Paced
• Free Video

Ray Libraries in Practice - LLM Workflows

Discover how to implement large language model workflows using Ray libraries for distributed computing and scalable AI applications.

• YouTube
• 56 minutes
• Self-Paced
• Free Video

Scaling LinkedIn's Online Training Solution with Ray

Discover how LinkedIn transformed their recommendation system using Ray, achieving 8.9× cost savings while enabling real-time model updates for better user engagement.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

How Daft Boosts Batch Inference Throughput with Dynamic Partitioning

Discover how Daft revolutionizes petabyte-scale multimodal query processing with dynamic prefix partitioning, maximizing GPU utilization and cache hit rates for high-performance batch inference.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

How Zoox Built a Reliable, High-Velocity Model Serving Platform with Ray Serve

Discover how Zoox redesigned their ML infrastructure with Ray Serve, achieving deployment times from days to minutes while maintaining reliability across diverse production workloads.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Inside Uber - Scaling Model Training with Ray

Discover how Uber leverages Ray for scalable ML training across multi-cloud environments, covering architectural strategies, disaster recovery, and performance optimization techniques.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Ray + vLLM - Efficient Multi-Node Orchestration for Sparse MoE Model Serving

Discover how Ray Serve and vLLM enable efficient multi-node orchestration for Mixture-of-Experts models, tackling KV-cache bottlenecks and complex parallelism strategies at scale.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Inside Netflix's Mako - The Next-Gen ML Training Platform

Discover how Netflix built Mako, their next-gen ML training platform with custom GPU scheduling, Ray integration, and architectural insights for scaling AI workloads efficiently.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

Matrix - Reliable Framework for Data-Centric Experimentation at Scale

Discover Matrix, Meta's framework for large-scale data-centric AI experimentation with LLMs and multimodal models, featuring auto-scaled data generation and reproducible evaluation pipelines.

• YouTube
• 25 minutes
• Self-Paced
• Free Video