{"product_id":"minimizing-data-movement-and-parameter-count-across-the-machine-learning-stack-everything-is-a-matrix-9783032230997","title":"Minimizing Data Movement and Parameter Count Across the Machine Learning Stack: Everything is a Matrix","description":"\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 110 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 02 July 2026\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer Nature Switzerland AG\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis book provides a focused, research-forward guide to making large AI models efficient in practice and also presents an array of novel techniques to reduce memory footprint, accelerate computation, and improve overall hardware utilization.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 240 x 168 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783032230997\u003c\/p\u003e","brand":"Andrew Sabot","offers":[{"title":"Hardback","offer_id":49718708895994,"sku":"9783032230997","price":30.73,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/files\/1783735671448_book.jpg?v=1784367581","url":"https:\/\/shulphink.com\/products\/minimizing-data-movement-and-parameter-count-across-the-machine-learning-stack-everything-is-a-matrix-9783032230997","provider":"Shulph Ink","version":"1.0","type":"link"}