Nacho

Couple nice AI buildout plays pulling back into their 200 MA's $ETN $ANET

$HUBB Less hyped electric grid buildout name, producer of transmission components.. slicing through the 200 day, but into previous support, starting to get way oversold.. trades cheaper than $ETN

I took one key insight from this convo: inference disaggregation between prefill and decode enable GPU lifespan to be extended to 10+ years. This totally shifts the risk and return profile of datacenter capex - especially for neoclouds such as $CRWV $NBUS $IREN . Private credit breaths alleviated. $OWL $APO $BLX Breaking it down: 1) Inference, which is the real-time generation of an AI response, is actually two distinct tasks: "Prefill" (processing the prompt) and "Decode" (generating the output). 2) These tasks require totally different hardware capabilities. Prefill is fundamentally a memory *capacity* bound problem, needing massive space to hold your context. Decode is a memory *bandwidth* constraint, needing blazing speed to generate new tokens. 3) Because of these different physical constraints, architects no longer need one perfect chip to do both. They can put ultra-fast, specialized chips (like Groq or $CBRS) right in front of older-generation $NVDA GPUs (like Hopper or Ampere). 4) The older GPU handles the memory-heavy prefill stage, while the new custom chip takes over the high-speed decode. This dynamic dramatically extends the useful life of GPUs from a few years to 10 or 15 years,allowing companies to run them until it melts. 5) This mathematically changes how the entire AI buildout is financed. With 10+ year asset lives, the private credit industry can underwrite GPU loans at 5% or 6% instead of >7%. This architectural innovation fundamentally lowers the global cost of financing compute.

🚨President Trump did not go to China for nothing. 🚨We are seeing the results on the ground and high seas as we speak.