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Learn how Autodesk built RayLab, their next-generation deep learning platform, in this 31-minute conference talk from Ray Summit 2025. Discover the challenges Autodesk faced with managed solutions like AWS Batch and SageMaker, including scalability limitations, customization constraints, networking issues, and poor developer experience. Explore how the team leveraged Ray and KubeRay to overcome these obstacles and gain the flexibility needed to support diverse deep learning workloads across the organization. Understand the architecture and design decisions behind RayLab, Autodesk's internal platform that enables scalable training, data processing, and model serving. Gain practical insights into evaluating ML platforms, building distributed training systems, and scaling deep learning infrastructure from real-world implementation experience at a major technology company.
