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Master scalable AI infrastructure deployment using KubeRay and Kubernetes, covering gang scheduling, distributed checkpointing, and integration with cloud providers for efficient AI workload management.
Optimize AI workloads globally with Ray's unified framework. Explore advanced instance management, multi-environment compute, and governance solutions to prevent AI sprawl.
Explore Anyscale's innovative approach to optimizing large-scale batch inference using Ray Data and infrastructure advancements, offering insights to enhance ML deployments and reduce operational costs.
Explore Airbnb's journey in evolving LLM fine-tuning support using Ray, showcasing efficient techniques and real-world applications in customer support through SFT and DPO.
Uncover Pinterest's ML journey in optimizing recommender systems using Ray for distributed training. Explore challenges, solutions, and innovations in scaling data-intensive workloads across thousands of jobs.
Explore Meta's roadmap for full-stack AI with Joe Spisak. Gain insights into the Llama ecosystem, building generative AI agents at scale, and leveraging open AI for innovation and application development.
Uncover Apple's innovative approach to GPU resource management for AI/ML workloads using Ray. Learn about queuing, quota management, and advanced techniques for optimizing GPU utilization and scalability.
Dive into the evolution of Large Language Models with Meta's GenAI Director. Explore Llama's journey, its impact on open AI, and the future of collaborative LLM development.
Explore LlamaIndex's vision for advanced AI assistants, delving into multi-agent systems, sophisticated reasoning, and cutting-edge RAG modules for tackling complex tasks across diverse data sources.
Discover how Uber leverages Ray for marketplace optimization, achieving 40x speed improvements. Learn about parallelizing operations, exploring broader parameter spaces, and driving efficiency in large-scale systems.
Dive into eBay's AI platform transformation, exploring Ray's impact on batch inference, feature engineering, distributed training, and comprehensive AI solutions. Gain insights on challenges, solutions, and lessons learned.
Unlock secure enterprise AI adoption with confidential computing. Learn how to leverage LLMs while keeping sensitive data encrypted throughout the AI workflow, maintaining prediction quality and data privacy.
Uncover Coinbase's ML infrastructure transformation, exploring the shift from Sagemaker to Ray. Learn how this change accelerated training, scaled to terabyte datasets, and reduced costs by 20%, revolutionizing ML operations.
Discover how LanceDB and Ray revolutionize multimodal AI development by enhancing data management for massive video and audio datasets, offering rapid indexing and targeted filtering for ML training.
Explore ByteDance's journey in building a video data processing pipeline using Ray's ecosystem for creating realistic video generation models from text instructions.
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