// agentic AI systems

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Sep 28

AWS Targets the Black Box Problem in Autonomous AI Systems

AWS CloudWatch Omni's move into agentic AI observability reveals a fracture in the observability stack. Traditional metrics—uptime, latency, error rates—lose relevance when an AI agent autonomously takes actions you didn't predict. Infrastructure vendors now must rebuild around explainability and auditability instead of performance monitoring alone. Enterprises need new tooling layers to trace agent reasoning and catch failure modes before they cascade. The competitive pressure shifts from observability vendors to whoever makes autonomous systems legible to the humans responsible for them.

theme-connected storage infrastructure agentic AI systems inference architecture

Jul 9

Storage becomes critical AI infrastructure as inference workloads shift

Source: SiliconANGLE

Solidigm's pivot toward inference-optimized storage reflects a market shift: as AI moves from training to deployment, the bottleneck shifts from compute to data movement. Inference engines at scale need fast feeds. That matters because inference is where AI generates revenue—chatbots, recommendations, autonomous systems. Companies that control the storage layer in that pipeline gain leverage over the AI stack, similar to how Nvidia dominates training.

theme-connected storage infrastructure data centers agentic AI systems

Jul 8

Storage becomes critical infrastructure for agentic AI systems

Source: SiliconANGLE

As AI agents move from single-task models to autonomous systems that need persistent memory and state management across multiple steps, data infrastructure companies are repositioning storage from a commodity layer to a strategic capability. Vendors like NetApp, Pure Storage, and cloud providers now compete on retrieval speed, metadata management, and vector database integration rather than raw capacity. The shift advantages storage vendors with AI-native designs and disadvantages those still selling undifferentiated capacity, while enterprises face a new infrastructure procurement cycle earlier than anticipated.