$MU ABSOLUTELY CRUSHED THEIR EARNINGS
• Revenue $41.5B vs Est. $35.5B
• EPS $25.11 vs Est. $20.39
• Net Income $33.7B vs Est. $23.9B
• Gross Margin 85% vs Est. 82%
Q4 Guide
• Revenue $50B vs Est. $43B
• EPS $31.00 vs Est. $25.07
• Gross Margin 85% vs Est. 84%
TSMC was too naive from the start.
Intel is emerging as a serious competitor. TSMC has been extremely strict about preventing Samsung-designed chips from being manufactured at TSMC, so why did it allow Intel to manufacture chips at TSMC?
At this point, TSMC obviously has no reason to allocate CPU capacity to Intel anymore. Instead, it will—and should—actively allocate wafers to Intel’s CPU competitors.
Intel has been developing brain-inspired neuromorphic silicon technology for several years. We are now accelerating this work as we partner with Echo Neurotechnologies to develop algorithms that are not just brain-inspired, but actually trained on brain activity itself. This will allow us to build highly energy-efficient computing architectures and platforms that are faster, lighter and closer to how humans actually think. I am excited to work with my friend Dr. Eddie Chang and his talented team at Echo Neurotechnologies. Together, we will build AI that learns from the most powerful computer ever discovered, the human brain!
Nobody is asking who makes the <$1 multi-layer ceramic capacitor (MLCC) that keeps voltage stable across every chip in the rack, that every AI server needs tens of thousands of, that has long extended lead times, and going through an unprecedented price hike. AI server MLCC demand is growing ~5x by CY27. New production lines take 2 years to build. The bottleneck is spreading.