Scientific Books

Ai Systems Performance Engineering: Optimizing Model Training And Inference Workloads With Gpus, Cuda, And Pytorch

Authored by Chris Fregly, a performance-focused engineering and product leader, this resource transforms complex AI systems into streamlined, high-impact AI solutions.

Inside, you'll discover...

Authored by Chris Fregly, a performance-focused engineering and product leader, this resource transforms complex AI systems into streamlined, high-impact AI solutions.

Inside, you'll discover step-by-step methodologies for fine-tuning GPU CUDA kernels, PyTorch-based algorithms, and multinode training and inference systems.

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Description

Description

Authored by Chris Fregly, a performance-focused engineering and product leader, this resource transforms complex AI systems into streamlined, high-impact AI solutions.

Inside, you'll discover step-by-step methodologies for fine-tuning GPU CUDA kernels, PyTorch-based algorithms, and multinode training and inference systems.

Manufacturer

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Specifications

Specifications

Publisher
O'Reilly Media
Type
Technology, Logic, Communication & Media, Artificial Intelligence
Language
English
Subtitle
-
Cover
Soft
Number of Pages
954
Release Date
12/2025
Publication Date
2025
Dimensions
-
ISBN-13
9798341627789

Important information

Specifications are collected from official manufacturer websites. Please verify the specifications before proceeding with your final purchase. If you notice any problem you can report it here.

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Description & Specifications

Authored by Chris Fregly, a performance-focused engineering and product leader, this resource transforms complex AI systems into streamlined, high-impact AI solutions.

Inside, you'll discover step-by-step methodologies for fine-tuning GPU CUDA kernels, PyTorch-based algorithms, and multinode training and inference systems.

Manufacturer

Publisher
O'Reilly Media
Type
Technology, Logic, Communication & Media, Artificial Intelligence
Language
English
Subtitle
-
Cover
Soft
Number of Pages
954
Release Date
12/2025
Publication Date
2025
Dimensions
-
ISBN-13
9798341627789

Important information

Specifications are collected from official manufacturer websites. Please verify the specifications before proceeding with your final purchase. If you notice any problem you can report it here.

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