The AI efficiency gap: from TCO crisis to optimized cost and performance
See how 1,300 IT leaders are navigating key decisions to control AI/ML infrastructure costs, boost performance, and drive innovation.
Download the whitepaper
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As organizations scale their AI initiatives, the complexity of managing infrastructure, controlling costs, and measuring ROI grows. This new IDC whitepaper, based on a survey of 1,300 global IT leaders, provides a detailed look at the current state of machine learning efficiency and the strategies top organizations are using to succeed.
Inside the whitepaper, you’ll discover:
Key trends for workload distribution, vendor selection, software, and hardware preferences
The top technical and operational challenges that hinder AI efficiency
Future investment priorities shaping the next 1-2 years of AI adoption
Get the data and insights you need to optimize your AI strategy and build a more efficient, high-performing AI stack. Download the full IDC whitepaper today.
