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Könyv Establishing AI-Specific Cloud Computing Infrastructure Nitin

Establishing AI-Specific Cloud Computing Infrastructure

Szerző: Nitin, Sumit Kumar
Nyelv: Angol
Kötés: Kemény kötésű
Kiadó: IGI Global
Elérhetőség: Beszállítói készleten
Küldés 10-18 napon belül
147 636 Ft
As artificial intelligence (AI) continues to drive innovation across industries, the need for specia...

Információk a könyvről

Szerző
Nitin, Sumit Kumar
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2025
oldal
654
EAN
9798369396940
Enbook ID
48380088
Kiadó
IGI Global
Súly
1879
Méretek
221 x 286 x 39

Teljes leírás

As artificial intelligence (AI) continues to drive innovation across industries, the need for specialized cloud computing infrastructure to support AI workloads is critical. Traditional cloud platforms often struggle to meet the high computational demands and storage requirements of AI models, especially as they grow in complexity and scale. Establishing AI-specific cloud computing infrastructure involves designing systems optimized for the needs of AI, such as powerful processing capabilities, massive data storage, and real-time processing. With advancements in hardware like graphics processing units and tensor processing units, along with sophisticated data management solutions, businesses can better harness the full potential of AI technologies. This specialized infrastructure enhances the performance and scalability of AI applications while enabling faster innovation and more efficient deployment of AI-driven solutions across sectors. Establishing AI-Specific Cloud Computing Infrastructure explores how AI has evolved as a transformative new technology, capable of delivering large incremental value to a wide range of sectors. It examines recent advances in innovation, specifically how computing power, data storage, and digitized data have led to AI-based applications for business and governance. This book covers topics such as digital technology, sustainable development, and artificial intelligence, and is a useful resource for computer engineers, business owners, academicians, data scientists, and researchers.

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