AI Systems Performance Engineering: Optimizing Model Training and Inference Workloads with Gpus, Cuda, and Pytorch -- Chris Fregly, Paperback

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AI Systems Performance Engineering: Optimizing Model Training and Inference Workloads with Gpus, Cuda, and Pytorch -- Chris Fregly, Paperback

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Step-by-step methodologies for GPU, CUDA, and PyTorch optimization enable practical performance improvements
Covers multinode training and inference systems for scalable AI deployment
Includes a 175-item checklist for proven, ready-to-use optimizations to streamline workflow
Utilizes industry-leading scalability tools and frameworks for robust, reliable AI systems
Profiling and diagnosing performance bottlenecks across complex AI pipelines ensures maximum efficiency

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4.8 (535)

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Step-by-step methodologies for GPU, CUDA, and PyTorch optimization enable practical performance improvements
Covers multinode training and inference systems for scalable AI deployment
Includes a 175-item checklist for proven, ready-to-use optimizations to streamline workflow
Utilizes industry-leading scalability tools and frameworks for robust, reliable AI systems
Profiling and diagnosing performance bottlenecks across complex AI pipelines ensures maximum efficiency

Returns accepted within 30 days

Exclusions may apply. See full policy

Exclusive deal available

Flowerburst

4.8 (535)

AI Systems Performance Engineering: Optimizing Model Training and Inference Workloads with Gpus, Cuda, and Pytorch -- Chris Fregly, Paperback

AI Systems Performance Engineering: Optimizing Model Training and Inference Workloads with Gpus, Cuda, and Pytorch -- Chris Fregly, Paperback

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Delivery & Returns

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