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The network becomes the computer as Cisco and Nvidia accelerate AI factory rack-scale

The first phase of the generative artificial intelligence infrastructure boom was defined by a race for graphics processing units. The next phase will be defined by what happens after those GPUs arrive. As the AI infrastructure buildout continues to advance rapidly the building and deploying massive accelerated-computing systems, and the challenge is shifting from acquiring […] The post The…

The network becomes the computer as Cisco and Nvidia accelerate AI factory rack-scale

We haven't written up this one. SiliconANGLE has the full story — the link below goes straight to it.

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Why Your AI Agent Fails at Observability: A Debugging Framework for Memory, Tool Calls, and RAG

Originally published on tamiz.pro . You built the agent. The prompt looks solid. The RAG pipeline is technically "working" because your vector DB returns results.

  • Agent failures often stem from opaque black box nature, not the LLM itself
  • Need semantic tracing to understand causal chain of tool calls and memory ops
  • Three pillars of observability: Memory State, Tool Execution, Retrieval Validity

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