This is Part 3 of the series. In Part 2, I argued that open vs. closed is a control decision, not a quality decision. Now let’s make that practical: which …
Welcome back. This is Part 2 of the series. In Part 1, I defined an open weight model as a set of trained parameters you hold rather than a capability …
About this series Open weight models have gone from research curiosity to a line item in nearly every enterprise AI strategy I review. Yet most of the conversations I have …
This is Part 3 of a 4-part series on architecting security for LLM and agentic artificial intelligence systems in the enterprise. In [Part 1](https://www.vamsitalkstech.com/llm-security/llm-security-isnt-application-security-why-enterprises-need-a-new-architectural-model-%c2%bc/), I argued that LLMs break down …
Welcome back. This is Part 2 of our series on how to actually architect security for LLMs and agentic artificial intelligence systems in the real world. If you missed Part …
This is Part 1 of a four-part series on architecting security for LLM and agentic AI systems in the enterprise. I’ll cover why the threat model here is genuinely new, …
In my recent piece on sovereign AI and the geopolitics of compute, I covered export controls, national chip programs, and the fracturing of the global AI hardware stack. That’s the …
Every GPU procurement conversation in AI infrastructure focuses on acquisition — allocation, lead times, pricing on the newest generation. Almost none of it touches the other end of the asset …