E-Book

How to Put AI Models Into Production

Access the e-book to explore the challenges, solutions, and best practices in AI model deployment.

What Will You Learn?

Discover the modern landscape of AI inference, production use cases from companies, and real-world challenges and solutions. Also, explore the future of inference and what’s on the horizon in the deep learning and machine learning worlds. Citing actual inference use cases and common pitfalls, the ebook provides actionable steps to optimize AI inference deployments.

E-Book Chapters

Modern AI Inference Landscape

Modern AI Inference Landscape

Inference in machine learning, deep learning, challenges in production, and more

Real-World Inference Use Cases

Real-World Inference Use Cases

Across computer vision, NLP, recommenders; featuring Amazon, Microsoft, and others

Benefits, Challenges, and Solutions

Benefits, Challenges, and Solutions

Using NVIDIA Triton Inference Server™ and TensorRT™; handling different data types, sample code, and more

AI Inference Horizon

AI Inference Horizon

Evolution of AI algorithms, skills and talent, regulatory environments, and more

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