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Superman18d
#OPPOFindX9Pro vs #GalaxyS26Ultra specs comparison ๐Ÿ“ฑ OPPO Find X9 Pro ๐Ÿ”ธ 6.78" LTPO AMOLED ๐Ÿ”ธ 120Hz refresh rate ๐Ÿ”ธ 3600 nits peak brightness ๐Ÿ”ธ 1800 nits HBM Brightness ๐Ÿ”ธ MediaTek Dimensity 9500 (3nm) ๐Ÿ”ธ Corning Gorilla Glass Victus 2 ๐Ÿ”ธ Ultra HDR image support ๐Ÿ”ธ 12/16GB LPDDR5X RAM ๐Ÿ”ธ 256GB/512GB/1TB UFS 4.1 Storage ๐Ÿ”ธ 50MP Main Camera ๐Ÿ”ธ 200MP 3x Periscope Telephoto ๐Ÿ”ธ 50MP Ultra-Wide ๐Ÿ”ธ 4K120FPS, 10-bit Video, Dolby Vision, LOG Video ๐Ÿ”ธ 50MP Selfie Camera ๐Ÿ”ธ 4K60FPS, HDR Front Video ๐Ÿ”ธ Stereo Speakers ๐Ÿ”ธ NFC IR Blaster ๐Ÿ”ธ eSIM Support ๐Ÿ”ธ USB Type-C 3.2 ๐Ÿ”ธ Ultrasonic In-Display Fingerprint Scanner ๐Ÿ”ธ 7500mAh Battery ๐Ÿ”ธ 80W Wired 50W Wireless Charging ๐Ÿ”ธ 10W Reverse Wireless Charging ๐Ÿ”ธ Android 16 (ColorOS) ๐Ÿ”ธ 5 6 Years of Updates ๐Ÿ”ธ IP69 Rating ๐Ÿ“ฑ Samsung Galaxy S26 Ultra ๐Ÿ”ธ 6.9" Dynamic AMOLED 2X ๐Ÿ”ธ 120Hz refresh rate ๐Ÿ”ธ 2600 nits peak brightness ๐Ÿ”ธ 1850 HBM Brightness ๐Ÿ”ธ Corning Gorilla Armor 2 ๐Ÿ”ธ DX Anti-Reflective Coating ๐Ÿ”ธ Privacy Display ๐Ÿ”ธ Snapdragon 8 Elite Gen 5 (3nm) ๐Ÿ”ธ 12/16GB LPDDR5X RAM ๐Ÿ”ธ 256GB/512GB/1TB UFS 4.0 Storage ๐Ÿ”ธ 200MP Main Camera ๐Ÿ”ธ 10MP 3x Telephoto ๐Ÿ”ธ 50MP 5x Periscope ๐Ÿ”ธ 50MP Ultra-Wide ๐Ÿ”ธ 8K30FPS, 4K120FPS, 10-bit HDR, HDR10 LOG Video Support ๐Ÿ”ธ 12MP Selfie Camera ๐Ÿ”ธ 4K60FPS, HDR Front Video ๐Ÿ”ธ Stereo Speakers ๐Ÿ”ธ NFC ๐Ÿ”ธ eSIM Support ๐Ÿ”ธ USB Type-C 3.2 ๐Ÿ”ธ Ultrasonic In-Display Fingerprint Scanner ๐Ÿ”ธ 5000mAh Battery ๐Ÿ”ธ 60W Wired 25W Wireless Charging ๐Ÿ”ธ 4.5W Reverse Wireless Charging ๐Ÿ”ธ Android 16 (One UI 8) ๐Ÿ”ธ 7 Years of Major Updates ๐Ÿ”ธ S Pen Support ๐Ÿ† Performance: Galaxy S26 Ultra ๐Ÿ† Display: Galaxy S26 Ultra ๐Ÿ† Cameras: OPPO Find X9 Pro ๐Ÿ† Selfies: OPPO Find X9 Pro ๐Ÿ† Battery Life: OPPO Find X9 Pro ๐Ÿ† Charging: OPPO Find X9 Pro ๐Ÿ† Productivity: Galaxy S26 Ultra ๐Ÿ† Software Support: Galaxy S26 Ultra ๐Ÿ‘‘ Overall Winner: OPPO Find X9 Pro #oppo #samsung #ColorOS #OneUI #Android #flagship #tech
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Jordy retweeted
Beth_Kindig
Corning: โ€œMost sources project that new incremental AI power coming online per year will double from '25 to 2028. Likewise, the rate of GPUs deployed over this period roughly follows the same trajectory.โ€ $GLW $MSFT $META $AMZN $GOOG $NVDA
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Newbie retweeted
ourbit
$GLW @Corning Futures Carnival! Deposit, trade daily, and share the $168K reward pool
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jounilx
Corning taking the fuck outta sincere dick omg??
this is soooobcjxnxhxn
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0xGKz
Replying to @ourbit @Corning
Welcome
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TradeThePool
Todayโ€™s Strategy Playbook. July 6, 2026 โšกTheme Today > The market is snapping back into action following the July 4th weekend with a hyper-focus on AI's physical hardware and memory foundation. A historic $28 billion US Nasdaq listing from South Korea's SK Hynix is injecting massive structural hype directly into the RAM/memory complex. Capital is aggressively hunting the foundational enablers-from TSMC's foundries to Corning's high-density fiber cables and Micron's memory chips. Stay focused on the hardware supply chain, buy the confirmed technical setups, and let the pre-earnings momentum carry the tape into mid-month. Long $MU โ€“ The South Korean ADR hype trade. South Korean memory giant SK Hynix just launched a blockbuster $28 billion ADR listing on the Nasdaq, which is scheduled to debut on July 10. This historic offering is injecting massive hype across the entire RAM and memory complex, confirming we are in the midst of a powerful memory supercycle driven by AI demand. The massive listing is expected to broaden the global investor base and potentially narrow the valuation discount between SK Hynix and its US rival, Micron. Use the surging momentum and passive index flow surrounding this Nasdaq debut to press long positions on $MU, as the rising tide lifts the top-tier memory suppliers. Long $GLW โ€“ The AI fiber infrastructure breakout. Corning is aggressively dominating the fiber-optic infrastructure space required for high-speed, AI-driven data centers. The company's advanced tech packs twice as many strands into the same physical space, making it a critical supplier for hyperscalers like Meta, Amazon, Google, and Microsoft. With direct partnerships to supply Nvidia and Meta with advanced connectivity solutions, $GLW is positioned at the forefront of AI's physical implementation phase. Continue to scalp technical pullbacks and accumulate shares as the market aggressively prices in this multi-year data center buildout. Long $TSM โ€“ The pre-earnings mega-cap run. Taiwan Semiconductor is marching toward a massive $3 trillion market valuation, currently trading near $434.70 as AI chip demand explodes. Heading into its Q2 earnings release on July 16, consensus projections expect a massive $40.02 billion in quarterly sales, up sharply from $30.07 billion a year ago. Citi analysts just upgraded their price targets significantly, noting that robust AI semiconductor demand is rapidly expanding beyond GPUs into tensor processing units and custom silicon. Ride this pre-earnings momentum and look for a breakout push toward the $520 consensus price objective. Stock N Roll!
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Semiconsight
1๊ฐœ์˜ ํ•ฉ์ž‘๋ฒ•์ธ์ด ์ด‰๋ฐœํ•œ AI ํŒจํ‚ค์ง• ํ˜๋ช…, ๊ธ€๋ผ์Šค ์ฝ”์–ด ์ƒํƒœ๊ณ„ ์ง€๊ฐ๋ณ€๋™ ์œ ๊ธฐ ์†Œ์žฌ ๊ธฐ๋ฐ˜์˜ ํŒจํ‚ค์ง€ ๊ธฐํŒ์€ ๋ฌผ๋ฆฌ์  ํ•œ๊ณ„์— ๋„๋‹ฌํ–ˆ๋‹ค. ๊ธ€๋กœ๋ฒŒ ๋ฐ˜๋„์ฒด ์—…๊ณ„๊ฐ€ HBM ์ ์ธต๊ณผ CoWoS ์บํŒŒ ํ™•๋ณด์— ํ˜ˆ์•ˆ์ด ๋˜์–ด ์žˆ๋Š” ์‚ฌ์ด, ์ง„์ •ํ•œ ์ฐจ์„ธ๋Œ€ AI ๋ฐ˜๋„์ฒด์˜ ๋ณ‘๋ชฉ ํ˜„์ƒ์€ ์นฉ์˜ ํ•˜๋‹จ, ์ฆ‰ ๊ธฐํŒ์—์„œ ๋ฐœ์ƒํ•˜๊ณ  ์žˆ๋‹ค. ์‚ผ์„ฑ์ „๊ธฐ์™€ ์Šค๋ฏธํ† ๋ชจํ™”ํ•™(๋™์šฐํ™”์ธ์ผ)์ด ์ „๊ฒฉ์ ์œผ๋กœ ์ฒด๊ฒฐํ•œ 1๊ฐœ์˜ ํ•ฉ์ž‘๋ฒ•์ธ ์„ค๋ฆฝ ๊ณ„์•ฝ์€ ๋‹จ์ˆœํ•œ ์†Œ์žฌ ๊ณต๊ธ‰๋ง ํ™•๋ณด๊ฐ€ ์•„๋‹ˆ๋‹ค. ์ด๋Š” ์ธํ…”์ด ์ฃผ๋„๊ถŒ์„ ์ฅ” ๊ธ€๋ผ์Šค ๊ธฐํŒ ์‹œ์žฅ์—์„œ ์ˆ˜์œจ์˜ ํ•ต์‹ฌ์ธ ๊ธ€๋ผ์Šค ์ฝ”์–ด๋ฅผ ๋‚ด์žฌํ™”ํ•˜์—ฌ ํŒ์„ ๋’ค์ง‘๊ฒ ๋‹ค๋Š” ์‚ผ์„ฑ์˜ ์น˜๋ฐ€ํ•œ ์ง€์ •ํ•™์  ์Šน๋ถ€์ˆ˜๋‹ค. 1. ํ•ต์‹ฌ ๊ธฐ์ˆ  ์ด์Šˆ ๋ฐ˜๋„์ฒด ๋ฏธ์„ธ๊ณต์ •์˜ ์ „๊ณต์ •(Front-end) ์Šค์ผ€์ผ๋ง์ด ํ•œ๊ณ„์— ์ง๋ฉดํ•˜๋ฉด์„œ, ์—…๊ณ„์˜ ์ดˆ์ ์€ ์ฒจ๋‹จ ํŒจํ‚ค์ง•์œผ๋กœ ์ด๋™ํ–ˆ๋‹ค. ํ˜„์žฌ ํ•˜์ด์—”๋“œ AI ๊ฐ€์†๊ธฐ์— ์‚ฌ์šฉ๋˜๋Š” ํ”Œ๋ฆฝ์นฉ ๋ณผ๊ทธ๋ฆฌ๋“œ ์–ด๋ ˆ์ด(FC-BGA)๋Š” ์œ ๊ธฐ๋ฌผ(ํ”Œ๋ผ์Šคํ‹ฑ) ๊ธฐ๋ฐ˜์ด๋‹ค. ์นฉ์˜ ํฌ๊ธฐ๊ฐ€ ์ปค์ง€๊ณ  I/O ๋‹จ์ž๊ฐ€ ๊ธฐํ•˜๊ธ‰์ˆ˜์ ์œผ๋กœ ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ, ์œ ๊ธฐ ๊ธฐํŒ์€ ๊ณ ์—ด์—์„œ ํœ˜์–ด์ง€๋Š” ์›Œํ”ผ์ง€(Warpage) ํ˜„์ƒ๊ณผ ์‹ ํ˜ธ ์†์‹ค์ด๋ผ๋Š” ์น˜๋ช…์ ์ธ ๋ฌผ๋ฆฌ์  ๊ฒฐํ•จ์„ ๋…ธ์ถœํ•˜๊ณ  ์žˆ๋‹ค. ์ด๋ฅผ ๊ทน๋ณตํ•˜๊ธฐ ์œ„ํ•œ ๊ถ๊ทน์˜ ํ•ด๊ฒฐ์ฑ…์ด ๋ฐ”๋กœ ์ฐจ์„ธ๋Œ€ ๋ฐ˜๋„์ฒด ํŒจํ‚ค์ง€ ๊ธฐํŒ์œผ๋กœ ๋ถˆ๋ฆฌ๋Š” ๊ธ€๋ผ์Šค ๊ธฐํŒ์ด๋‹ค. ์œ ๋ฆฌ๋Š” ํ‘œ๋ฉด์ด ์›์ž ๋‹จ์œ„๋กœ ํ‰ํƒ„ํ™”๋˜์–ด ์žˆ์–ด ๋ฏธ์„ธ ํšŒ๋กœ ํŒจํ„ฐ๋‹์— ๊ทน๋„๋กœ ์œ ๋ฆฌํ•˜๋ฉฐ, ์—ดํŒฝ์ฐฝ๊ณ„์ˆ˜(CTE)๊ฐ€ ์‹ค๋ฆฌ์ฝ˜ ์นฉ๊ณผ ์œ ์‚ฌํ•ด ์—ด ๋ณ€ํ˜•์ด ๊ทนํžˆ ์ ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์œ ๋ฆฌ๋Š” ํƒœ์ƒ์ ์œผ๋กœ ๊นจ์ง€๊ธฐ ์‰ฝ๊ณ (Fragility), ์œ ๋ฆฌ์— ๋ฏธ์„ธํ•œ ๊ตฌ๋ฉ์„ ๋šซ๊ณ  ๊ตฌ๋ฆฌ๋ฅผ ์ฑ„์›Œ ๋„ฃ๋Š” TGV ๊ณต์ •์˜ ๋‚œ์ด๋„๊ฐ€ ๊ทน์•…์— ๋‹ฌํ•œ๋‹ค. ๋ ˆ์ด์ €๋กœ ์œ ๋ฆฌ๋ฅผ ํƒ€๊ฒฉํ•  ๋•Œ ๋ฐœ์ƒํ•˜๋Š” ๋ฏธ์„ธ ํฌ๋ž™(Micro-crack)์€ ํ›„์† ๊ณต์ •์—์„œ ๊ธฐํŒ ์ „์ฒด๊ฐ€ ์‚ฐ์‚ฐ์กฐ๊ฐ ๋‚˜๋Š” ์›์ธ์ด ๋œ๋‹ค. ์—ฌ๊ธฐ์„œ ๊ธ€๋ผ์Šค ์ฝ”์–ด์˜ ํ’ˆ์งˆ์ด ์ „์ฒด ๊ธฐํŒ์˜ ์ˆ˜์œจ์„ ์ขŒ์šฐํ•œ๋‹ค. ์‚ผ์„ฑ์ „๊ธฐ๊ฐ€ ์Šค๋ฏธํ† ๋ชจํ™”ํ•™์˜ ํ•œ๊ตญ ์žํšŒ์‚ฌ์ธ ๋™์šฐํ™”์ธ์ผ๊ณผ ์†์„ ์žก์€ ์ด์œ ๋Š” ๋ช…ํ™•ํ•˜๋‹ค. ๋™์šฐํ™”์ธ์ผ์€ ๊ณผ๊ฑฐ ๋””์Šคํ”Œ๋ ˆ์ด ์‚ฐ์—…์—์„œ ์ถ•์ ํ•œ ์œ ๋ฆฌ๊ธฐํŒ ์‹๊ฐ ๋ฐ ์ฝ”ํŒ… ๊ธฐ์ˆ ์˜ ์ ˆ๋Œ€ ๊ฐ•์ž๋‹ค. ์‚ผ์„ฑ์ „๊ธฐ๋Š” ๊ธฐํŒ ์„ค๊ณ„ ๋ฐ ํŒจํ‚ค์ง• ์—ญ๋Ÿ‰์„, ์Šค๋ฏธํ† ๋ชจํ™”ํ•™์€ ์›์ดˆ์ ์ธ ์œ ๋ฆฌ ์†Œ์žฌ ๊ฐ€๊ณต ๋ฐ ํ™”ํ•™์  ์ฒ˜๋ฆฌ ์—ญ๋Ÿ‰์„ ๊ฒฐํ•ฉํ•จ์œผ๋กœ์จ, TGV ๊ณต์ •์—์„œ ๋ฐœ์ƒํ•˜๋Š” ํฌ๋ž™ ๋ฌธ์ œ๋ฅผ ํ™”ํ•™์  ์‹๊ฐ(Wet Etching)์œผ๋กœ ์น˜์œ (Healing)ํ•˜์—ฌ ์›์ฒœ์ ์œผ๋กœ ํ†ต์ œํ•˜๋ ค๋Š” ๊ฒƒ์ด๋‹ค. ์ด๋Š” ๋‹จ์ˆœํžˆ ๋ฒค๋”๋ฅผ ๋‹ค๋ณ€ํ™”ํ•˜๋Š” ์ฐจ์›์„ ๋„˜์–ด, ํ•ต์‹ฌ ์†Œ์žฌ์˜ ๋ ˆ์‹œํ”ผ ์ž์ฒด๋ฅผ ํ†ต์ œํ•˜๋ ค๋Š” ๊ธ€๋กœ๋ฒŒ ๊ฐ€์น˜ ์‚ฌ์Šฌ(GVC) ์ƒ์˜ ์ˆ˜์ง๊ณ„์—ดํ™” ์ „๋žต์œผ๋กœ ํ•ด์„ํ•ด์•ผ ํ•œ๋‹ค. 2. ๋ฐธ๋ฅ˜์ฒด์ธ 2-1. ํ•ต์‹ฌ ๋ถ€ํ’ˆ ๋ฐ ์†Œ์žฌ ๊ณต๊ธ‰๋ง ๋ณ€ํ™” ์ด๋ฒˆ ํ•ฉ์ž‘๋ฒ•์ธ ์„ค๋ฆฝ์€ ๋ฐ˜๋„์ฒด ํŒจํ‚ค์ง€ ๊ธฐํŒ ๋ฐธ๋ฅ˜์ฒด์ธ์˜ ๋ฌด๊ฒŒ ์ค‘์‹ฌ์„ ๊ธฐ์กด ์œ ๊ธฐ ํ™”ํ•™ ์†Œ์žฌ ๊ธฐ์—…์—์„œ ํŠน์ˆ˜ ์œ ๋ฆฌ ๋ฐ ๋ ˆ์ด์ € ์žฅ๋น„ ๊ธฐ์—…์œผ๋กœ ๊ธ‰๊ฒฉํžˆ ์ด๋™์‹œํ‚จ๋‹ค. ๊ธฐ์กด FC-BGA ์ƒํƒœ๊ณ„์—์„œ๋Š” ์•„์ง€๋…ธ๋ชจํ†  ๋นŒ๋“œ์—… ํ•„๋ฆ„(ABF)์„ ๋…์  ๊ณต๊ธ‰ํ•˜๋Š” ์ผ๋ณธ ์•„์ง€๋…ธ๋ชจํ† ์˜ ์ž…๊น€์ด ์ ˆ๋Œ€์ ์ด์—ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๊ธ€๋ผ์Šค ์ฝ”์–ด ๊ธฐ๋ฐ˜์˜ ์ƒํƒœ๊ณ„์—์„œ๋Š” ์ฝ”๋‹, ์‡ผํŠธ, ์•„์‚ฌํžˆ๊ธ€๋ผ์Šค ๋“ฑ ์›์ดˆ์  ์œ ๋ฆฌ ์ œ์กฐ์‚ฌ์™€ ์ด๋ฅผ ์ •๋ฐ€ํ•˜๊ฒŒ ๊ฐ€๊ณตํ•˜๋Š” ๋ ˆ์ด์ € ๋“œ๋ฆด๋ง ์žฅ๋น„์‚ฌ, ๊ทธ๋ฆฌ๊ณ  ์œ ๋ฆฌ ํ‘œ๋ฉด์˜ ์ ‘์ฐฉ๋ ฅ์„ ๋†’์ด๋Š” ํŠน์ˆ˜ ๋„๊ธˆ ๋ฐ ํ™”ํ•™ ์ฒ˜๋ฆฌ ๊ธฐ์—…๋“ค์ด ์ƒˆ๋กœ์šด ๊ถŒ๋ ฅ์œผ๋กœ ๋ถ€์ƒํ•œ๋‹ค. ๊ตญ๋‚ด ์†Œ๋ถ€์žฅ ์ƒํƒœ๊ณ„์—๋„ ๋ง‰๋Œ€ํ•œ ํŒŒ๊ธ‰ ํšจ๊ณผ๊ฐ€ ์˜ˆ์ƒ๋œ๋‹ค. ์‚ผ์„ฑ์ „๊ธฐ๊ฐ€ ๋‚ด์žฌํ™”๋œ ๊ธ€๋ผ์Šค ์ฝ”์–ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์–‘์‚ฐ ์ฒด์ œ๋ฅผ ๊ตฌ์ถ•ํ•˜๋ฉด, ๊ตญ๋‚ด ํด๋Ÿฌ์Šคํ„ฐ ๋‚ด์˜ ๊ฒ€์‚ฌ ์žฅ๋น„, ๋ ˆ์ด์ € ์œ ๋„ ์‹๊ฐ ์žฅ๋น„, ๊ทธ๋ฆฌ๊ณ  ์œ ๋ฆฌ๊ธฐํŒ ์ „์šฉ ํ•ธ๋“ค๋ง ๋กœ๋ด‡ ๋“ฑ์„ ๊ณต๊ธ‰ํ•˜๋Š” ๋ฒค๋”๊ตฐ์ด ๊ฐ•๋ ฅํ•œ ๋‚™์ˆ˜ํšจ๊ณผ๋ฅผ ๋ˆ„๋ฆฌ๊ฒŒ ๋œ๋‹ค. ํŠนํžˆ ์œ ๋ฆฌ๋Š” ํˆฌ๋ช…ํ•˜๊ณ  ๊ตด์ ˆ๋ฅ ์ด ๋‹ฌ๋ผ ๊ธฐ์กด ๊ด‘ํ•™ ๊ฒ€์‚ฌ(AOI) ์žฅ๋น„๋กœ๋Š” ๋‚ด๋ถ€ ๊ฒฐํ•จ์„ ์ฐพ๊ธฐ ์–ด๋ ต๊ธฐ ๋•Œ๋ฌธ์—, ์ƒˆ๋กœ์šด ๊ด‘ํ•™ ์•Œ๊ณ ๋ฆฌ์ฆ˜๊ณผ ๋น„ํŒŒ๊ดด ๊ฒ€์‚ฌ ๊ธฐ์ˆ ์„ ํƒ‘์žฌํ•œ ์ฐจ์„ธ๋Œ€ ๊ณ„์ธก ์žฅ๋น„ ์ˆ˜์š”๊ฐ€ ํญ๋ฐœ์ ์œผ๋กœ ์ฆ๊ฐ€ํ•  ๊ฒƒ์ด๋‹ค. 2-2. ๊ธ€๋กœ๋ฒŒ ์ฃผ์š” ์ œ์กฐ์‚ฌ๋ณ„ ๊ธฐ์ˆ  ๋„์ž… ๋กœ๋“œ๋งต ๊ฒฉ์ฐจ ํ˜„์žฌ ์ฐจ์„ธ๋Œ€ ๋ฐ˜๋„์ฒด ํŒจํ‚ค์ง€ ๊ธฐํŒ ์‹œ์žฅ์˜ ์„ ๋‘์ฃผ์ž๋Š” ๋‹จ์—ฐ ์ธํ…”์ด๋‹ค. ์ธํ…”์€ 10๋…„ ์ „๋ถ€ํ„ฐ R&D๋ฅผ ์ง„ํ–‰ํ•ด ์™”์œผ๋ฉฐ, ์• ๋ฆฌ์กฐ๋‚˜ ๊ณต์žฅ์— ๋Œ€๊ทœ๋ชจ ํŒŒ์ผ๋Ÿฟ ๋ผ์ธ์„ ๊ตฌ์ถ•ํ•˜๊ณ  ์ƒํƒœ๊ณ„ ํ‘œ์ค€์„ ์ฃผ๋„ํ•˜๊ณ  ์žˆ๋‹ค. ๋ฐ˜๋ฉด TSMC๋Š” CoWoS์˜ ๊ณ ๋„ํ™”์— ์ง‘์ค‘ํ•˜๋А๋ผ ์œ ๋ฆฌ ๊ธฐํŒ ๋„์ž…์—๋Š” ์ƒ๋Œ€์ ์œผ๋กœ ๋ณด์ˆ˜์ ์ธ ์ž…์žฅ์„ ์ทจํ•ด์™”์œผ๋‚˜, ์ตœ๊ทผ ์—”๋น„๋””์•„ ๋“ฑ ํŒน๋ฆฌ์Šค ๊ณ ๊ฐ์‚ฌ๋“ค์˜ ํผํŒฉํ„ฐ ๋Œ€ํ˜•ํ™” ์š”๊ตฌ์— ๋– ๋ฐ€๋ ค R&D๋ฅผ ๊ฐ€์†ํ™”ํ•˜๊ณ  ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ์ƒํ™ฉ์—์„œ ์‚ผ์„ฑ์ „๊ธฐ์˜ ํ–‰๋ณด๋Š” ์‚ผ์„ฑ์ „์ž ํŒŒ์šด๋“œ๋ฆฌ ๋ฐ ๋ฉ”๋ชจ๋ฆฌ ์‚ฌ์—…๋ถ€์™€์˜ ์‹œ๋„ˆ์ง€๋ฅผ ์—ผ๋‘์— ๋‘” ํฌ์„์ด๋‹ค. SKC์˜ ์žํšŒ์‚ฌ ์•ฑ์†”๋ฆญ์Šค๊ฐ€ AMD ๋“ฑ๊ณผ ํ˜‘๋ ฅํ•˜๋ฉฐ ๋ฏธ๊ตญ ์กฐ์ง€์•„์ฃผ์—์„œ ์–‘์‚ฐ์„ ์„œ๋‘๋ฅด๋Š” ๊ฐ€์šด๋ฐ, ์‚ผ์„ฑ์ „๊ธฐ๋Š” ์ผ๋ณธ ์ตœ๊ณ ์˜ ํ™”ํ•™ ์†Œ์žฌ ๊ธฐ์—…๊ณผ ํ˜ˆ๋งน์„ ๋งบ์Œ์œผ๋กœ์จ '์†Œ์žฌ(์Šค๋ฏธํ† ๋ชจ)-๊ธฐํŒ(์‚ผ์„ฑ์ „๊ธฐ)-ํŒจํ‚ค์ง•(์‚ผ์„ฑ์ „์ž AVP)-ํŒŒ์šด๋“œ๋ฆฌ(์‚ผ์„ฑ์ „์ž)'๋กœ ์ด์–ด์ง€๋Š” ํ„ดํ‚ค(Turn-key) ์†”๋ฃจ์…˜์˜ ํผ์ฆ์„ ์™„์„ฑํ•˜๋ ค ํ•œ๋‹ค. ์ด๋Š” TSMC์˜ CoWoS ๋…์ ์„ ๊นฐ ์ˆ˜ ์žˆ๋Š” ๊ฐ•๋ ฅํ•œ ๋ฌด๊ธฐ๊ฐ€ ๋  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ๊ธ€๋กœ๋ฒŒ ํŒŒ์šด๋“œ๋ฆฌ ์ง€ํ˜•๋„๋ฅผ ๋’คํ”๋“ค ์ž ์žฌ๋ ฅ์„ ์ง€๋‹Œ๋‹ค. 3. ๊ธฐ์ˆ ์  ์ด๋ฉด์˜ ๋ณต์„  ๋ฐ ํ–ฅํ›„ ๊ด€์ „ ํฌ์ธํŠธ ๊ฒ‰์œผ๋กœ ๋ณด์ด๋Š” ํ™”๋ คํ•œ ํ•ฉ์ž‘ ๋ฐœํ‘œ ์ด๋ฉด์—๋Š” ์—”์ง€๋‹ˆ์–ด๋ง ๊ด€์ ์˜ ๋ผˆ์•„ํ”ˆ ๋ณต์„ ์ด ๊น”๋ ค ์žˆ๋‹ค. ์ฒซ์งธ, ๊ธ€๋ผ์Šค ์ฝ”์–ด์˜ ๋Œ€๋ฉด์ ํ™”์— ๋”ฐ๋ฅธ ์ˆ˜์œจ ํ™•๋ณด ๋ฌธ์ œ๋‹ค. AI ๊ฐ€์†๊ธฐ์šฉ ๊ธฐํŒ์€ ์ผ๋ฐ˜ PC์šฉ๋ณด๋‹ค ๋ฉด์ ์ด 4๋ฐฐ ์ด์ƒ ํฌ๋‹ค. ๋ฉด์ ์ด ์ปค์งˆ์ˆ˜๋ก TGV ๊ณต์ • ์ค‘ ์œ ๋ฆฌ๊ฐ€ ํŒŒ์†๋  ํ™•๋ฅ ์€ ๊ธฐํ•˜๊ธ‰์ˆ˜์ ์œผ๋กœ ์ƒ์Šนํ•œ๋‹ค. ๋™์šฐํ™”์ธ์ผ์˜ ํ™”ํ•™์  ์‹๊ฐ ๊ธฐ์ˆ ์ด ๋ ˆ์ด์ € ๋“œ๋ฆด๋ง์ด ๋‚จ๊ธด ๋ฏธ์„ธ ํฌ๋ž™์„ ์–‘์‚ฐ ์ˆ˜์ค€์—์„œ ์–ผ๋งˆ๋‚˜ ์™„๋ฒฝํ•˜๊ณ  ๊ท ์ผํ•˜๊ฒŒ ์น˜์œ ํ•  ์ˆ˜ ์žˆ๋Š”์ง€๊ฐ€ 1์ฐจ ๊ด€๊ฑด์ด๋‹ค. ๋‘˜์งธ, ์ด์ข… ์†Œ์žฌ ๊ฐ„์˜ ๊ณ„๋ฉด ๋ฐ•๋ฆฌ(Delamination) ํ˜„์ƒ์ด๋‹ค. ์œ ๋ฆฌ ํ‘œ๋ฉด์€ ๊ทน๋„๋กœ ๋งค๋„๋Ÿฌ์›Œ ๊ตฌ๋ฆฌ ํšŒ๋กœ๋ฅผ ์ฆ์ฐฉํ•˜๊ธฐ ์–ด๋ ต๋‹ค. ์ด๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด ํƒ€์ดํƒ€๋Š„(Ti) ๋“ฑ์˜ ์‹œ๋“œ์ธต(Seed layer)์„ ํ˜•์„ฑํ•ด์•ผ ํ•˜๋Š”๋ฐ, ๊ณ ์˜จ์˜ ๋ฆฌํ”Œ๋กœ์šฐ(Reflow) ๊ณต์ •์—์„œ ์œ ๋ฆฌ์™€ ๊ธˆ์† ๊ฐ„์˜ ์—ดํŒฝ์ฐฝ๊ณ„์ˆ˜ ์ฐจ์ด ๋ฐ ์ ‘์ฐฉ๋ ฅ ๋ถ€์กฑ์œผ๋กœ ์ธํ•ด ๋ฏธ์„ธ ํšŒ๋กœ๊ฐ€ ๋œฏ๊ฒจ ๋‚˜๊ฐ€๋Š” ๋ฆฌ์Šคํฌ๊ฐ€ ์ƒ์กดํ•œ๋‹ค. ํ–ฅํ›„ ์‹œ์žฅ์„ ์ฝ๋Š” 3๊ฐ€์ง€ ๊ด€์ „ ํฌ์ธํŠธ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. - 2026๋…„์œผ๋กœ ์˜ˆ์ •๋œ ์ธํ…”์˜ ์ฒซ ์ƒ์šฉํ™” ์ œํ’ˆ์˜ ์‹ค์ œ ์–‘์‚ฐ ์ˆ˜์œจ ๋ฐ ๊ฒฐํ•จ๋ฅ  ์ง€ํ‘œ - ์‚ผ์„ฑ์ „๊ธฐ-์Šค๋ฏธํ† ๋ชจ ํ•ฉ์ž‘๋ฒ•์ธ์˜ ์ดˆ๊ธฐ ์ƒ์‚ฐ ์บํŒŒ(CAPA) ๊ทœ๋ชจ ๋ฐ ์ˆ˜๋™์†Œ์ž ๋‚ด์žฅ(Embedded) ๊ธฐ์ˆ ์˜ ์™„๋ฒฝํ•œ ๊ตฌํ˜„ ์—ฌ๋ถ€ - ์• ํ”Œ, ์—”๋น„๋””์•„, AMD ๋“ฑ ๋น…ํ…Œํฌ ํŒน๋ฆฌ์Šค๋“ค์ด ํ•˜์ด์—”๋“œ ์ œํ’ˆ๊ตฐ์—์„œ ์œ ๊ธฐ ๊ธฐํŒ ์„ค๊ณ„๋ฅผ ํ๊ธฐํ•˜๊ณ  ์œ ๋ฆฌ ๊ธฐํŒ์œผ๋กœ ํผํŒฉํ„ฐ๋ฅผ ์ „ํ™˜ํ•˜๋Š” ํ‹ฐํ•‘ ํฌ์ธํŠธ(Tipping Point) ์‹œ์  ์ด ์„ธ ๊ฐ€์ง€ ์ง€ํ‘œ๊ฐ€ ์ฐจ์„ธ๋Œ€ ๋ฐ˜๋„์ฒด ํŒจํ‚ค์ง€ ๊ธฐํŒ ์‹œ์žฅ์˜ ๊ฐœํ™” ์‹œ๊ธฐ์™€ ์Šน์ž๋ฅผ ๊ฒฐ์ •์ง€์„ ๊ฒƒ์ด๋‹ค. 4. ์ข…ํ•ฉ์  ์‹œ์‚ฌ์  ๋ฐ ๊ฒฐ๋ก  ๊ฒฐ๋ก ์ ์œผ๋กœ ์‚ผ์„ฑ์ „๊ธฐ์™€ ์Šค๋ฏธํ† ๋ชจํ™”ํ•™์˜ ํ•ฉ์ž‘๋ฒ•์ธ ์„ค๋ฆฝ์€ ๋‹ค๊ฐ€์˜ค๋Š” AI ํ•˜๋“œ์›จ์–ด ํŒจ๋Ÿฌ๋‹ค์ž„ ์ „ํ™˜๊ธฐ์—์„œ ์ฃผ๋„๊ถŒ์„ ์ฅ๊ธฐ ์œ„ํ•œ ํ•„์—ฐ์  ์„ ํƒ์ด๋‹ค. ๋ฌด์–ด์˜ ๋ฒ•์น™์ด ํ•œ๊ณ„์— ๋‹ฌํ•œ ํ˜„์‹œ์ ์—์„œ, ๋ฐ˜๋„์ฒด์˜ ์„ฑ๋Šฅ ํ–ฅ์ƒ์€ ์นฉ ์ž์ฒด์˜ ๋ฏธ์„ธํ™”๊ฐ€ ์•„๋‹Œ ํŒจํ‚ค์ง•๊ณผ ๊ธฐํŒ์˜ ํ˜์‹ ์— ์ „์ ์œผ๋กœ ์˜์กดํ•˜๊ณ  ์žˆ๋‹ค. ๊ธ€๋ผ์Šค ์ฝ”์–ด๋Š” ๋‹จ์ˆœํ•œ ๊ธฐํŒ ์†Œ์žฌ์˜ ๋ณ€๊ฒฝ์ด ์•„๋‹ˆ๋ผ, ๋ฐ˜๋„์ฒด ํ›„๊ณต์ • ์ƒํƒœ๊ณ„ ์ „์ฒด์˜ ๋ฃฐ์„ ๋ฐ”๊พธ๋Š” ๊ฒŒ์ž„ ์ฒด์ธ์ €๋‹ค. ํ•œ๊ตญ์˜ ๊ณ ๋„ํ™”๋œ ๊ธฐํŒ ์ œ์กฐ ์—ญ๋Ÿ‰๊ณผ ์ผ๋ณธ์˜ ์••๋„์ ์ธ ๊ธฐ์ดˆ ํ™”ํ•™/์†Œ์žฌ ์—ญ๋Ÿ‰์ด ๊ฒฐํ•ฉ๋œ ์ด๋ฒˆ ๋ฒค์ฒ˜๋Š”, ์ธํ…”์ด ๋…์ฃผํ•˜๋ ค๋Š” ์œ ๋ฆฌ ๊ธฐํŒ ํ‘œ์ค€ํ™” ์ „์Ÿ์—์„œ ๊ฐ€์žฅ ๊ฐ•๋ ฅํ•œ ๋Œ€ํ•ญ๋งˆ๋กœ ๋ถ€์ƒํ•  ๊ฒƒ์ด๋‹ค. ๊ตญ๋‚ด ์†Œ๋ถ€์žฅ ๊ธฐ์—…๋“ค์€ ๊ธฐ์กด FC-BGA ๋ฐธ๋ฅ˜์ฒด์ธ์— ์•ˆ์ฃผํ•˜๋Š” ์šฐ๋ฅผ ๋ฒ”ํ•ด์„œ๋Š” ์•ˆ ๋œ๋‹ค. ์œ ๋ฆฌ ๊ธฐ๋ฐ˜์˜ ์‹๊ฐ, ๋„๊ธˆ, ๊ฒ€์‚ฌ, ํ•ธ๋“ค๋ง ๊ธฐ์ˆ ๋กœ ์‹ ์†ํžˆ R&D ๋ฐฉํ–ฅ์„ ํ”ผ๋ฒ—(Pivot)ํ•ด์•ผ๋งŒ ๋‹ค๊ฐ€์˜ค๋Š” ๋ฐ˜๋„์ฒด ํŒจํ‚ค์ง€ ๊ธฐํŒ์˜ ์„ธ๋Œ€๊ต์ฒด ํญํ’ ์†์—์„œ ์ƒ์กด์„ ๋‹ด๋ณดํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค. 5. ๊ด€๋ จ ๊ธ€๋กœ๋ฒŒ ํ•ต์‹ฌ ์ข…๋ชฉ ๋ฐ ํˆฌ์ž ์‹œ์‚ฌ์  ์‚ผ์„ฑ์ „๊ธฐ: ๊ธ€๋ผ์Šค ์ฝ”์–ด ๋‚ด์žฌํ™”๋ฅผ ํ†ตํ•œ ์ฐจ์„ธ๋Œ€ ๊ธฐํŒ ๋งˆ์ง„์œจ ๊ฐœ์„  ๋ฐ ์‚ผ์„ฑ์ „์ž AVP ํ„ดํ‚ค ์ˆ˜์ฃผ ์ˆ˜ํ˜œ ๊ธฐ๋Œ€. ๋‹จ, ์ดˆ๊ธฐ TGV ๊ณต์ • ์ˆ˜์œจ ํ™•๋ณด ๋ฐ ๋ผ์ธ ์…‹์—…์— ๋ง‰๋Œ€ํ•œ CAPEX๊ฐ€ ์†Œ์š”๋  ๋ฆฌ์Šคํฌ๊ฐ€ ์กด์žฌํ•จ. $INTC (Intel): ์œ ๋ฆฌ ๊ธฐํŒ ์„ ๋„ ๊ธฐ์—…. 2020๋…„๋Œ€ ํ›„๋ฐ˜ ์ƒ์šฉํ™”๋ฅผ ๋ชฉํ‘œ๋กœ ์ƒํƒœ๊ณ„ ํ‘œ์ค€์„ ์ฃผ๋„ ์ค‘. ํŒŒ์šด๋“œ๋ฆฌ ์‚ฌ์—…๋ถ€์˜ ์ฒœ๋ฌธํ•™์  ์ ์ž๋ฅผ ํŒจํ‚ค์ง• ๊ธฐ์ˆ ๋ ฅ์˜ ์ดˆ๊ฒฉ์ฐจ๋กœ ๋งŒํšŒํ•  ์ˆ˜ ์žˆ์„์ง€๊ฐ€ ํ•ต์‹ฌ ๊ด€๊ฑด. $GLW (Corning): ๋ฐ˜๋„์ฒด ํŒจํ‚ค์ง•์šฉ ํŠน์ˆ˜ ์œ ๋ฆฌ(SG) ์›์žฅ ๊ณต๊ธ‰์˜ ํ•ต์‹ฌ ๋ฒค๋”. ์œ ๊ธฐ ๊ธฐํŒ์—์„œ ์œ ๋ฆฌ ๊ธฐํŒ์œผ๋กœ ํผํŒฉํ„ฐ๊ฐ€ ์ „ํ™˜๋  ์‹œ ๊ฐ€์žฅ ํ™•์‹คํ•œ ์—…์ŠคํŠธ๋ฆผ(Upstream) ๋…์ ์  ์ˆ˜ํ˜œ์ฃผ. ํ•„์˜ตํ‹ฑ์Šค: ์œ ๋ฆฌ ๊ธฐํŒ์šฉ TGV ๋ ˆ์ด์ € ๋“œ๋ฆด๋ง ์žฅ๋น„ ๊ตญ์‚ฐํ™” ์„ ๋‘์ฃผ์ž. ์‚ผ์„ฑ์ „๊ธฐ ๋“ฑ ๊ตญ๋‚ด ๊ธฐํŒ ์ œ์กฐ์‚ฌ์˜ ํŒŒ์ผ๋Ÿฟ ๋ผ์ธ ๋ฐ ์–‘์‚ฐ ๋ผ์ธ ์ฆ์„ค ์‹œ ์ง์ ‘์ ์ธ ์žฅ๋น„ ๋ฐœ์ฃผ ์ˆ˜ํ˜œ ๊ฐ€๋Šฅ์„ฑ. $AMAT (Applied Materials): ์œ ๋ฆฌ ๊ธฐํŒ ํ‘œ๋ฉด์˜ ๊ธˆ์†ํ™”(Metallization) ๋ฐ ์‹œ๋“œ์ธต ์ฆ์ฐฉ์„ ์œ„ํ•œ PVD/CVD ์žฅ๋น„ ํฌํŠธํด๋ฆฌ์˜ค ๋ณด์œ . ํŒจํ‚ค์ง• ๊ณต์ •์ด ์ „๊ณต์ •ํ™”(Front-end like) ๋˜๋ฉด์„œ ํ›„๊ณต์ • ๋ผ์ธ์—์„œ์˜ ๊ณ ๋ถ€๊ฐ€ ์žฅ๋น„ ์ˆ˜์š” ์ฆ๊ฐ€ ์˜ˆ์ƒ.
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psychononumber
Replying to @ourbit @Corning
Letโ€™s goo Ourbie
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MantisXRP589
Replying to @ourbit @Corning
$GLW ๐Ÿ”ฅ ๐Ÿš€
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0xDonmike
Replying to @ourbit @Corning
๐Ÿง๐Ÿง๐Ÿง $GLW
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bricexeth
Replying to @ourbit @Corning
Time to make some good gains
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YeboahWalee
BofA maintains Buy on Corning ($GLW), raises price target to $243 from $223, implying roughly 22% upside from the current price of $199.9. โ€ขRating: Buy, maintained โ€ขPrice target raised to $243 from $223 โ€ขCurrent price: $199.9 โ€ขImplied upside: ~22% Key Drivers โ€ขOptical segment expected to benefit from AI infrastructure buildouts โ€ขBofA highlighted progress in glass substrate technology for advanced semiconductor packaging โ€ขLong-term opportunities in optical and new market applications support higher estimates
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NATOITIA
Replying to @ourbit @Corning
glad youre here
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exacobain69
Replying to @ourbit @Corning
Cook ๐Ÿ”ฅ
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talktomoyo
Replying to @ourbit @Corning
Trade with Ourbit
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CryptoDancer13
Replying to @ourbit @Corning
$GLW ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ
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zaheerain
Replying to @ourbit @Corning
Need some rewards
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