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Cloud, Onix Expand Partnership to Accelerate Enterprise AI, Onix Says","url":"https://stock-news.laohu8.com/highlight/detail?id=2625727806","media":"MT Newswires Live","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2625727806?lang=en_us&edition=fundamental","pubTime":"2026-04-06 22:21","pubTimestamp":1775485282,"startTime":"0","endTime":"0","summary":"Alphabet's  Google Cloud has expanded its strategic collaboration with Onix to help enterprises deploy artificial intelligence tools faster and at scale using Onix's proprietary Wingspan platform, Onix said Monday.The partnership is expected to focus on joint go-to-market initiatives, increased vertical investments and a unified platform approach aimed at accelerating data modernization and AI enablement, according to Onix.The collaboration will also introduce an outcome-based delivery model, shifting away from large project teams toward AI-assisted deployment pods focused on measurable business performance and return on investment, Onix said.Price: 295.44, Change: +0.98, Percent Change: 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Pressure Amazon, Microsoft, and Google Over Data Center Water and Energy Usage","url":"https://stock-news.laohu8.com/highlight/detail?id=1184632291","media":"Deep News","labels":["policyRegulatory"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1184632291?lang=en_us&edition=fundamental","pubTime":"2026-04-06 21:22","pubTimestamp":1775481741,"startTime":"0","endTime":"0","summary":"Amazon, Microsoft, and Google, owned by Alphabet, have recently halted multi-billion-dollar data center construction projects due to community opposition. Now, these companies are facing 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Strategy For SPY, QQQ, AAPL, MSFT, NVDA, GOOGL, META, And TSLA","url":"https://stock-news.laohu8.com/highlight/detail?id=2625674937","media":"Benzinga_recent_news","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2625674937?lang=en_us&edition=fundamental","pubTime":"2026-04-06 21:12","pubTimestamp":1775481120,"startTime":"0","endTime":"0","summary":"Today's economic calendar kicks off the week with extremely limited data, setting the stage for a quieter session ahead of more impactful releases later in the week. The primary data point comes at 10:00AM ET with ISM Services PMI, which will provide insight into the health of the services sector and inflation pressures through its Prices Paid component.Treasury activity continues with the 3 and 6 Month Bill Auction at 11:30AM ET. While today's data is light, traders are already looking ahead to a much more significant second half of the week, including FOMC meeting minutes, PCE inflation data, and CPI. With major catalysts on deck, expect markets to remain somewhat position driven today as participants prepare for upcoming volatility.Now, we will discuss SPY, QQQ, AAPL, MSFT, NVDA, GOOGL, META, and TSLA.SPDR S&P 500 ETF Trust SPY is currently trading around 656.75 as markets begin the week with limited data and attention shifting toward major catalysts later in the week. If buyers 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just sucker-punched these highflying tech stocks - don't let the relief rally fool you","url":"https://stock-news.laohu8.com/highlight/detail?id=2625679827","media":"Dow Jones","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2625679827?lang=en_us&edition=fundamental","pubTime":"2026-04-06 19:50","pubTimestamp":1775476200,"startTime":"0","endTime":"0","summary":"Google's TurboQuant cracks the memory-chip cartel - the hardware-heavy AI thesis now looks like yesterday's news. One algorithm. Six times less memory. Zero accuracy loss. And the entire investment thesis for the AI hardware boom just got compressed along with it.Memory-chip stocks were supposed to be the safe way to play AI. The picks and shovels. The people selling jeans to the gold miners.Now the gold miners have figured out how to pan without jeans.The entire memory sector is under pressure. Not because of poor earnings. But because of a research paper that a team from Alphabet's   Google published in April 2025.Here's how to explain this to your financial adviser: Every time an AI model has a conversation with you, it remembers what you've said. That memory lives on expensive chips. As conversations get longer, the memory required becomes enormous - hundreds of gigabytes per session.South Korea's Samsung  and SK Hynix  operated with what analysts politely call \"supply discipline\" 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