KawzInvests 🦑-AuelyeiaPrecise Market Analysis

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@KawzInvests My strategy plan. 🔻↩️↩️

$AAOI's 1.6T pluggable optics line at OFC 26 is running on $VIAV ONE-1600 test equipment. This is the unsexy chokepoint of the optical transition. Nobody ships a 1.6T module without validating 224G SERDES, and $AAOI runs the largest US-based 1.6T transceiver production. “The demand for optical connectivity in data centers has exceeded our expectations,” said Dr. Thompson Lin, Founder, Chairman, and CEO of AOI. “We are focused on ensuring every critical function from supply chain and manufacturing capacity to quality, reliability, and customer support is positioned to scale rapidly to meet this demand. With the acquisition of these properties, we will have the footprint to expand our capacity to produce up to 700,000 units of 800G and 1.6T transceivers per month in the Houston area, while also expanding our laser fabrication capacity by around 350% by the end of 2027.” $AAOI guided 650,000 units per month by end of 2026 and 930,000 by end of 2027. That is one customer. $COHR , $LITE , $CIEN, and even $CRDO are running parallel 1.6T programs that need the same class of test capacity. As 1.6T volumes go from essentially zero to nine figures of annual shipments, the test floor scales with them. I do not know what share $VIAV holds versus $KEYS in production test. But the ONE-1600 sitting on $AAOI's OFC booth is interesting... $VIAV reports earnings Wednesday. I am watching it closely. $VIAV $AAOI $COHR $LITE $CIEN $KEYS

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The CPU is the bottleneck in agentic AI, not the GPU. Up to 90.6% of an AI agent's runtime, the GPU is idle. Georgia Tech and $INTC hooked five production-style agents to real hardware and stopwatched every step. Where the latency actually goes. > RAG retrieval. CPU document search consumes 83 to 89% of total latency. > SWE-Agent coding. CPU bash and Python execution accounts for 38 to 65%. > Web-augmented agents. CPU summarization runs 40 to 55% of total time. > ChemCrow chemistry. CPU conformer generation hits 85 to 88% on heavy molecules. Then they swapped in the H200, Nvidia's most expensive GPU. The CPU share got worse, not better. On SWE-Agent it climbed from 38% to 65%. Finishing the GPU part faster only makes the CPU wait look bigger. Every Nvidia upgrade widens the gap. This is why Intel's CFO told analysts unmet CPU demand "starts with a B." Billions of dollars in orders they cannot ship. $AMD $INTC $ARM $QCOM $TSM

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