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Nearly Half of Enterprises Waste Millions on Underutilized GPU Capacity

Nearly Half of Enterprises Waste Millions on Underutilized GPU Capacity

Published 1 month, 2 weeks ago
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This story was originally published on HackerNoon at: https://hackernoon.com/nearly-half-of-enterprises-waste-millions-on-underutilized-gpu-capacity.
Nearly half of enterprises waste millions on idle GPUs as manual workflows, poor automation, and weak governance stall AI at scale.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #enterprise-ai-infrastructure, #ai-cost-optimization, #ai-workload-orchestration, #underutilized-gpus, #ai-infrastructure-automation, #clearml-ai-report, #gpu-utilization, #good-company, and more.

This story was written by: @jonstojanjournalist. Learn more about this writer by checking @jonstojanjournalist's about page, and for more stories, please visit hackernoon.com.

ClearML’s 2025–2026 State of AI Infrastructure report reveals a costly disconnect in enterprise AI operations: nearly half of organizations waste millions on idle GPU capacity while AI teams wait in queues. Manual provisioning, weak automation, vendor lock-in, and immature governance block ROI just as AI agents and large-scale deployments accelerate.

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