AI Infrastructure Drives Change with Open Approach

The Future of AIOps | Rob Hirschfeld, RackN

Guest: Rob Hirschfeld (LinkedIn) Company: RackN Show Name: An Eye on AI Topic: AI Infrastructure AIOps is no longer just about monitoring systems and running models — it’s becoming a core discipline of infrastructure management. In this clip, Rob Hirschfeld, CEO and Co-Founder of RackN, explores where AIOps is heading and how it’s beginning to merge with the world of platform engineering and infrastructure automation. Today, when most people tal…

The next phase of AI infrastructure: consistency, cost and consolidation

As AI matures, the focus shifts to consistent, cost-effective infrastructure and unified platforms, moving beyond hype to reliable, explainable AI systems at scale.

The next phase of AI infrastructure: consistency, cost and consolidation

As AI matures, the focus shifts to consistent, cost-effective infrastructure and unified platforms, moving beyond hype to reliable, explainable AI systems at scale.

The next phase of AI infrastructure: consistency, cost and consolidation

As AI matures, the focus shifts to consistent, cost-effective infrastructure and unified platforms, moving beyond hype to reliable, explainable AI systems at scale.

The next phase of AI infrastructure: consistency, cost and consolidation

As AI matures, the focus shifts to consistent, cost-effective infrastructure and unified platforms, moving beyond hype to reliable, explainable AI systems at scale.

How our team optimizes infrastructure for minimal AI video processing latency

Decart achieves subsecond latency for AI video generation, enabling real-time interactive applications through GPU optimization.