To: Optntrdr1999 who wrote (196276 ) 10/28/2025 6:05:40 PM From: Jim Mullens 2 RecommendationsRecommended By GR8FORM JeffreyHF
Read Replies (1) | Respond to of 196287 Optntrdr, re: --- well, lets see how it pans out – Well, a few weeks ago Haas “planted the seeds” with >>>> Arm Holdings CEO _ Haas- : move AI workloads from cloud to reduce power Sbfm wrote >>>QCOM has been talking about - and developing its chips for - AI at the edge for years. Eventually, Haas' comments will begin to filter through to the analysts and someone figures out that Snapdragon's will power that move >>>>>>>> To which I suggested the ball was in CA court to keep the QCOM inference DC initiative alive / moving forward. Yesterday CA did just that – moved the ball forward with the QCOM / Humain PR . The inference data “seed” has been planted and now must be nurtured. QCOM is being officially recognized as a new player in the AI data center (inference) market. Of note : the WSJ (which seldom covers QCOM / & mostly negatively when it does) had 2 positive articles today, one , the leading article on the Business section front page. Article 1: “Qualcomm Stock Surges on AI Chip Launch” Section: Business & Technology Date: October 28, 2025 Focus: Qualcomm unveiled its AI200 and AI250 chips targeting rack-scale inference in data centers. Market Reaction: Stock jumped 20% intraday, driven by investor enthusiasm for Qualcomm’s pivot from mobile to infrastructure AI. Strategic Edge: Qualcomm emphasized low power , high memory bandwidth , and total cost of ownership (TCO) advantages over GPU incumbents. ?? Article 2: “Heard on the Street: Qualcomm’s AI Bet Is a Long Game” Section: Heard on the Street Date: October 28, 2025 Focus: Commentary on Qualcomm’s acquisition of Alphawave IP for $2.4B and its broader AI infrastructure ambitions. Key Insight: Qualcomm is building a full-stack solution —from edge inference to rack-scale compute and interconnect IP. Skepticism: Column notes that while Qualcomm’s retrofit economics are compelling, execution risk and competition from Nvidia, AMD, and hyperscalers remain high. Quote: “Qualcomm’s chips may be cheaper and more efficient, but it will take time to convince data center operators to switch horses midstream.”