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Closed: Oct 16, 16:00:00 (EDT)Millions Watched Zuckerberg Sip A Guinness. Nobody Heard What He Said Next.
ZeroHedge·- Meta CEO Mark Zuckerberg stated that used H100 GPU values have increased due to ongoing compute scarcity, challenging the assumption that AI chips behave like perishable goods. - Meta extended its server useful life to 5.5 years in January 2025, which reduced depreciation by $2.92 billion, while Amazon took the opposite view by shortening server life due to rapid AI development. - Durable AI hardware could eventually transition to cheaper inference work and smaller businesses, helping close the technology adoption gap.Nvidia Stocks Slip 0.7% Although RTX Spark Opens a $2,599 Local-AI Channel
GuruFocus·- Nvidia launched RTX Spark laptops on October 16 starting at $2,599 to bring local AI agents and CUDA to Windows laptops, while shares slipped 0.7 % to trade at $215.7. - Six manufacturers are currently selling these systems with up to 128GB of unified memory, though software compatibility and real-world performance remain crucial factors for buyers. - While Nvidia's GF Score stands at 95/100, future sales volumes and developer usage will determine if local AI can drive meaningful earnings and justify its valuation.Nvidia Stock Price Forecast: Jensen Huang Says AI Chip Demand Is Strong, Dan Ives Sees Selloff as Buying Opportunity; Can the Stock Return to an Uptrend?
TradingKey·- Nvidia stock rose against the market trend on October 16 as CEO Jensen Huang reaffirmed strong and continuous demand for AI computing infrastructure. - Analyst Dan Ives viewed recent sector pullbacks as a buying opportunity, maintaining a price target of $300 based on robust forward growth and expanding infrastructure dominance. - Technically, the stock is undergoing low-level consolidation after breaking below its ascending channel, testing support near the $216 level amid short-term weakening momentum.Nvidia, Micron and Broadcom Already Trade Like Cisco Post Dot-Com Burst: Bank of America
benzinga_article·- Bank of America reports that major chip stocks like Nvidia, Broadcom, and Micron trade at an average of 13 times forward earnings, mirroring valuations seen after the dot-com crash. - The Philadelphia Semiconductor Index entered a bear market after dropping about 22 percent from its June record close amid inflation worries and market share concerns. - Bank of America notes that unlike the dot-com era's unused fiber-optic cable, AI hardware operates at near 100 percent utilization with continuously climbing demand and rising rental prices.Stocks Bounce, Credit Worries Stay
benzinga_article·- U.S. stocks experienced a market rebound with the Dow gaining over 1%, while persistent credit concerns and hot inflation continued to impact the financial sector. - CoreWeave faced a difficult financing test as bond yields surged above 15%, contrasting with Nvidia's strong demand and TSMC's robust Q3 revenue of $46.72 billion. - September producer prices rose 6.3% year over year alongside a headline CPI increase of 3.7%, signaling ongoing margin pressures and tighter borrowing conditions.NVDA-Led AI Boom Looks a Lot Like the Railroad Bubble of 1873, Pulitzer-Winning Historian Warns
benzinga_article·- Pulitzer-Winning historian Liaquat Ahamed warned that the current Nvidia-led artificial intelligence boom has entered a manic phase resembling the 1873 railroad bubble. - Ahamed stated that intense competition, overbuilding, and opaque borrowing could trigger a financial crisis similar to the collapse caused by Jay Cooke's railroad funding failure. - He noted that modern hyperscalers and companies like Nvidia face warning signs including excess capacity and eroding profitability, though the boom may still last another 1 or 2 years.Nvidia GPUs Become Wall Street Collateral As AI Financing Expands
benzinga_article·- Nvidia chips, computing contracts, and expected revenue are increasingly being utilized by Wall Street lenders as collateral to finance AI infrastructure. - CoreWeave and Lambda have successfully secured billions of dollars in loans through this model, while Nvidia has partnered with six major financial institutions to mobilize over $500 billion in third-party capital. - This financing expansion enables broader hardware adoption and creates new lending opportunities, though lenders still face risks from potential customer defaults, hardware obsolescence, and weakening AI demand.Tesla's Roadster reveal, Apple and Meta team up, Nike's India push and more in Morning Squawk
CNBC·- Wall Street indices logged a winning session as investors rotated into blue-chip stocks amid ongoing technology sector AI cost concerns. - Tesla unveiled its long-delayed next-generation Roadster prototype in Texas, with production scheduled to begin in 2028. - Apple and Meta announced a collaboration allowing developers to run Meta's Muse Spark AI model locally on Mac models.Surface Laptop Ultra review: a different kind of MacBook Pro
The Verge·- Microsoft and Nvidia jointly launched the $5,900 Surface Laptop Ultra featuring Arm-based RTX Spark chips designed for developers. - The device aims to showcase the capability to run demanding AI models locally, along with AAA games and creative apps. - The laptop represents a significant development for Windows on Arm, though leveraging local AI presents practical challenges.Elon Musk Says Jensen Huang 'Rocks' as SpaceX, Nvidia Team Up on AI Data Centers in Space: ‘Far Better Than Almost Anyone Expects’
benzinga_article·- SpaceX and Nvidia are deepening their collaboration to co-develop the Starmind computer, a new server design aimed at operating AI data centers in space. - Elon Musk announced that the space-based AI computing system is scheduled to reach volume production in 2027. - Jensen Huang highlighted that this partnership explores the new market of orbital computing networks, while facing challenges like launch costs and thermal management.Tesla's New Roadster Sends Shares Surging; Semiconductor Stocks Broadly Under Pressure Pre-Market; Fed Chair Warns of Bumpy AI Transition
US Market Preview·- US pre-market trading showed semiconductor stocks generally declining while Tesla rose over 3% following the new Roadster unveiling. - The Federal Reserve Chairman warned that the transition to artificial intelligence could be very bumpy despite its productivity benefits. - Major tech companies including NVIDIA, Apple, and AMD are actively competing for TSMC's limited advanced AI chip manufacturing capacity.