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#Ray Serve

Showing: 11 courses
MLOps World: Machine Learning in Production

Introduction to Model Deployment with Ray Serve

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Learn to deploy ML models using Ray Serve. Explore Ray Core APIs, create scalable architectures, and integrate with MLflow and FastAPI. Gain hands-on experience in distributed computing and model deployment.
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1 Lesons
1 hour 11 minutes
On-Demand
Free-Video
Anyscale

ByteDance's Platform for Reinforcement Learning from Human Feedback

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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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1 Lesons
32 minutes
On-Demand
Free-Video
Anyscale

Klaviyo's Journey to Robust Model Serving with Ray Serve

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Explore Klaviyo's journey in building DART, a model serving platform using Ray Serve. Gain insights into architecture, deployment strategies, and practical advice for implementing Ray Serve in your own projects.
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1 Lesons
31 minutes
On-Demand
Free-Video
Anyscale

Faster Model Serving with Ray and Anyscale - Ray Summit 2024

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Explore Ray Serve's capabilities for distributed model serving and deployment, focusing on Anyscale's solutions for large-scale AI models and the challenges of building AI applications in the era of generative AI.
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1 Lesons
31 minutes
On-Demand
Free-Video
Anyscale

Scaling Inference Deployments with NVIDIA Triton Inference Server and Ray Serve

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Explore the integration of Ray Serve and NVIDIA Triton Inference Server for enhanced ML model performance and scalability. Learn to optimize inference deployments using advanced tools and a new Python API.
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1 Lesons
32 minutes
On-Demand
Free-Video
Anyscale

Building Intelligent AI Infrastructure with ORI - Dynamic Query Routing and Model Management

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Discover how ORI dynamically routes AI queries to optimal language models, featuring chain atomic queries, benchmark matching, and ethical frameworks integrated with Ray Serve and vLLM for high-speed inference.
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1 Lesons
22 minutes
On-Demand
Free-Video
Anyscale

Scaling LLM Inference - AWS Inferentia Meets Ray Serve on EKS

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Discover how to build scalable, cost-effective LLM inference infrastructure using Ray Serve and AWS Inferentia on Amazon EKS, optimizing deployment of models like Llama2 and Mistral-7B.
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1 Lesons
13 minutes
On-Demand
Free-Video
Anyscale

Building Scalable Cross-Modal Search with Ray

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Discover how to build a powerful fashion image retrieval system using Ray and Pinecone, enabling efficient text-to-image and image-to-image search with CLIP embeddings and vector similarity.
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1 Lesons
11 minutes
On-Demand
Free-Video
Anyscale

High-Performance AI Model Serving with Ray Serve - A Rubrik Case Study

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Discover how Rubrik achieved high-performance AI inference using Ray Serve, exploring scalability solutions, fault tolerance strategies, and deployment techniques for handling millions of daily model evaluations.
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1 Lesons
14 minutes
On-Demand
Free-Video
Anyscale

Distributed Mesh Processing and Geometric Deep Learning for Wind Prediction

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Discover how Ray's distributed computing powers real-time wind prediction in urban design through mesh processing, geometric deep learning, and CFD data analysis for architectural innovation.
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1 Lesons
14 minutes
On-Demand
Free-Video
PyCon US

Patterns of ML Models in Production

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Explore ML model deployment patterns for production, covering online serving, offline processing, and scalable frameworks like Ray Serve, with insights from 100+ user interviews.
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15 Lesons
26 minutes
On-Demand
Free-Video