Insights

This is the AI industry’s most expensive secret. The average enterprise GPU spends 40% to 80% of its life doing nothing.

Seven signals that reveal hidden issues in enterprise AI, including pipeline bottlenecks and low GPU utilization.

From stale data to near real-time intelligence. See how NCBA Group uses SCAILIUM to bridge the gap between high-speed reporting and a fully industrial AI environment.

January 2026 marked the moment AI Factories moved from theory into production. Humanoid robots entered factories, nations invested in sovereign AI infrastructure, and trillion-dollar compute bets reshaped how intelligence gets built and deployed.

Eight clear predictions shaping AI factories in 2026. Learn how AI shifts from software to industrial production, driven by energy, infrastructure, and real-world execution.

As AI scaling hits a wall, power is the new bottleneck. Discover why tech giants have GPUs sitting idle and how a GPU-native AI Production Layer solves energy constraints through throughput efficiency.

Discover the top AI Factory news for December 2025.

Enterprise GPU utilization often hovers between 30-50%, creating a 'Silent Crisis' that costs millions in wasted OPEX.

Discover the AI Production Layer, the emerging infrastructure category solving GPU starvation and bridging the gap between enterprise storage and modern silicon.

SCAILIUM launches the AI Production Layer, a new AI infrastructure solving GPU starvation. Increase GPU utilization to 80%+ and optimize performance per watt.