Category: AI Infrastructure

Imagine processing 500 tokens per second with your RAG system, only to watch competitors serve the same quality responses at 18,000 tokens per second. That’s not a hypothetical scenario—it’s the reality facing enterprises still relying on traditional GPU-based inference for their retrieval-augmented generation systems. The challenge isn’t just about speed. When your RAG system takes…

Enterprise leaders are waking up to a harsh reality: their multi-million dollar AI investments are crumbling beneath poorly designed infrastructure. A recent study by Gartner reveals that 87% of enterprise RAG implementations fail to meet performance expectations, not because of inadequate models or data quality issues, but due to fundamental infrastructure oversights that were baked…

Picture this: Your company just invested millions in an AI agent system that promised to revolutionize customer service. The demo was flawless—agents answered complex queries, pulled relevant data instantly, and even handled edge cases with surprising sophistication. Six months later, your support tickets have doubled, customer satisfaction has plummeted, and your CTO is questioning every…

The Dawn of Sovereign AI Infrastructure In a sleek, temperature-controlled facility scheduled to open next year in southern Italy, rows of cutting-edge NVIDIA hardware will soon power what promises to be one of Europe’s most ambitious AI projects. This isn’t just another data center—it’s the Colosseum, a sovereign AI infrastructure that represents a fundamental shift…