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SemiAnalysis on $META “overcapacity” and market reactions with $NBIS and others: “We believe Meta’s datacenter and compute will accelerate”. “Capex in 2027 will be shockingly high”. Recent global crash, especially in the photonics sector was stupid… Off misleading narratives of Meta dropping out of AI race to sell excess compute… When in fact things are likely to accelerate from Meta catching up to GPT5.5. I’m personally expecting a sharp V recovery, especially with the names that crashed 50%+ from this narrative.
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Be SemiAnalysis: - Post a scathing piece on CPO delays + optical company valuations, causing a crash. Which $NVDA, analyst desks, and major optical companies refuted - Launch an institutional photonics ETF after optical names dropped 40-60%.
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New SemiAnalysis on Cerebras: GTC 2026 key note:
Morgan Stanley says SemiAnalysis' report on Nvidia's planned large-scale shipments of 800VDC power architecture being pushed back to 2028 is contrary to their own supply chain checks at Computex. "Nvidia at GTC Taipei Indicated 800 VDC developments are ongoing with 800 VDC power rack being ready for mass production in 3Q26. +-400 VDC development has been redirected to 800 VDC focus across various hyperscalers."
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DC POWER UPGRADE FUD: Market weakness begets fear and shortens investor duration, hence tendency to question pie in the sky technology stories. Power transition to 800V seeing some negative press and power names e.g., DELTA $2308; ROHM $6963; $485A; passives in general -- impacted
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We are proud to share that Bitdeer AI has been ranked in the Bronze Tier SemiAnalysis GPU Cloud ClusterMAX™ Rating in its April 2026 report, standing out among more than 80 neocloud providers 🎉. SemiAnalysis looks beyond surface-level pricing, evaluating the technical pillars that determine true business value: 🔹 Reliability & Support 🔹 High-Performance Networking & Storage 🔹 Orchestration Excellence 🔹 Total Cost of Ownership (TCO) As AI workloads scale in complexity, raw hardware is only half the story - operational efficiency and architectural integrity are the only way forward. This recognition validates our commitment to building enterprise-grade AI infrastructure ready for the most demanding training and inference workloads. Thank you, @SemiAnalysis_ team, for the deep dive and the recognition. We are already hard at work on our next phase of optimizations, further refining our cloud capabilities and O&M excellence to stay ahead of the curve. 🔗 Read the full SemiAnalysis breakdown: #BitdeerAICloud# #SemiAnalysis# #AIInfrastructure# #GPUCloud# #neocloud# #CloudComputing#
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"you should subscribe to your tokenomics model so you can read bangers like this" Tokenomics Subscribers got access to SemiAnalysis’ latest Hyperscaler and AI Lab Estimates today. Long story short, AI spend continues to accelerate and hyperscalers are benefitting. Contact sales@semianalysis.com to learn more"
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Chinese memory maker CXMT is rapidly catching up to Micron in DRAM production, according to a new report. SemiAnalysis estimates that by the end of 2026, CXMT could reach around 350,000 wafer starts per month, while Micron is expected to be at about 385,000. If that happens, CXMT will be much closer to matching one of the world's biggest memory chip makers in production capacity. CXMT is already the world's fourth-largest DRAM maker by wafer capacity and is expected to keep growing over the next few years.
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Featuring the man of the moment @dylan522p @shaunmmaguire in today's Training Data episode. Nobody is a more trusted industry insider to the biggest infrastructure build-out in history. The story of how Dylan became @SemiAnalysis_ is even more awe inspiring: a young motel kid, following his curiosity about the compute industry relentlessly down rabbit holes, from Reddit forums to audiobooks to Japanese chemicals conferences... 00:00 Introduction 01:58 Motel Kid Origins 03:11 Xbox Repair Spark 04:23 Internet Forums to Semis 06:42 From Quant to Founder 09:16 Homeless Research Roadtrip 14:04 InferenceX and Benchmarking 34:35 Sparse vs Dense Models 35:08 Interconnect Shapes Architecture 35:48 CUDA Moat Is Shifting 36:46 Ecosystems and Co-Design 38:46 Cerebras Speed and Limits 42:07 ROI Debates and Hot Takes 44:20 Ten Year Tech Bets 50:48 Compute Crunch and NeoClouds
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Is SMIC N+3’s Metal Pitch Smaller than Intel 18A’s? SMIC N+3 Node Deep Dive vs TSMC N6, TechInsights Private Equity Sale, SemiAnalysis Teardown Engineering & Evaluation Lab, HiSilicon Kirin 9030, Process Technology, Pattering, Cell Architecture
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CPO & 800V DC selloff — delayed, not dead 🙃 A SemiAnalysis report flagged timeline slips for two big AI trades. ➡️ Nvidia's native 800V DC pushed to 2028 ➡️ CPO mass production maybe slipping to 2028-2029 Both trades already ran high on hype. A credible report and
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