News Heat Trend
Project Overview
CoreWeave is a specialized cloud, purpose-built for GPU-accelerated workloads. CoreWeave run a fully managed, bare metal serverless Kubernetes infrastructure to deliver the best performance in the industry while reducing your DevOps overhead.
AI data center operator DataVita completes £300 million funding round with participation from ING and others
Odaily News: AI data center operator DataVita has announced securing £300 million (approximately $406 million) in funding to expand its artificial intelligence data center campus at the AI Growth Zone in Lanarkshire, Scotland.The funding was provided by a consortium consisting of ING, ABN AMRO, Spain's Santander Bank, the Scottish National Investment Bank, and Siemens Financial Services, with the UK National Wealth Fund guaranteeing £202 million of the loans.DataVita stated that the funds will be used to expand its existing DV1 data center and construct the new DV3 facility. Upon completion, both DV1 and DV3 will each provide 40MW of power capacity, adding a total of 80MW of new capacity. Currently, AI cloud computing provider CoreWeave has already pre-leased the full capacity of both data centers under a 15-year lease term. CoreWeave primarily provides computing infrastructure services to multiple leading AI model developers. (Bloomberg)
Serenity: The AI Supply Chain Boom Is Far From Over, With Storage, Packaging, and Power Sectors Poised for Long-Term Demand Surge
Odaily News "White-Haired Stock God" Serenity shared insights on the AI industry chain on the X platform, noting that AI infrastructure demand is driving multiple sectors—including storage, advanced packaging, computing power financing, optical communications, power supply, and electronic components—into a long-term expansion cycle. The AI supply chain remains in a phase of rapid growth.In the storage sector, Serenity cited UBS forecasts indicating that traditional DRAM manufacturers (such as Micron) could see gross margins reach an unprecedented 95% by 2027, potentially even surpassing the gross margin levels of HBM products. Additionally, SanDisk's long-term agreements already cover approximately two-thirds of its 2028 production capacity, with minimum contracted revenue reaching $93 billion. Given its current market cap of around $239 billion, this suggests its future revenue targets could persist for years, making it difficult to simply classify the company as a traditional cyclical stock.On the cloud computing infrastructure front, CoreWeave has signed agreements to use Nvidia A100 GPUs through 2029. This is a positive development for emerging cloud computing companies such as Nebius and Iren, and it also weakens some investors' bearish thesis centered on the rapid depreciation of older GPUs.AI model companies are also continuing to grow at a pace that exceeds expectations. Frontier AI labs are still maintaining extremely rapid growth rates, and a slowdown in growth would actually be a cause for concern. The market projects that Anthropic's 2028 revenue could reach $190 billion to $200 billion.However, advanced packaging and semiconductor infrastructure remain core bottlenecks. The head of advanced packaging at TSMC has stated that in the coming years, the industry may face not only memory shortages but also tight supply of ABF substrates.Serenity concluded that the AI infrastructure supply chain is continuously expanding. From GPUs, storage, and advanced packaging to power, optical communications, and electronic components, every segment is showing a long-term demand growth trend. The AI supply chain is still in a high-speed development stage.
Morgan Stanley: CoreWeave Adds Record 500MW Capacity in Single Quarter, High Debt and Customer Concentration Weigh on Valuation
According to TechFlow Research, Morgan Stanley's August Q2 earnings report indicated that CoreWeave added 500MW of net active power in a single quarter, exceeding any quarter in history, more than three times year-over-year. Management reaffirmed the target of reaching at least 8GW before 2030. FY26 revenue guidance midpoint was raised 2% to $12.4 billion to $13.2 billion, ARR midpoint was raised 3% to $18.5 billion to $19.5 billion. The company raised full-year capital expenditure guidance midpoint by 12% to $35.5 billion to $39.0 billion, Q3 capital expenditure guidance is $11.5 billion to $13.5 billion, higher than the market expectation of $10 billion. Managed Inference Platform (managed inference platform) ARR grew from $1 million to over $100 million, expected to reach at least $250 million by year-end. The research report judges that Q2 adjusted operating margin was about 8%, higher than expected, but Q3 margin guidance of 5.8% to 7.2% is lower than market expectations, Q4 margin needs to increase significantly to achieve full-year guidance. Morgan Stanley expects CoreWeave FY27 operating margin to be 15.9%, FY28 to be 22.4%, free cash flow to remain negative until 2028, and debt is expected to increase to approximately $38 billion by the end of 2026. Morgan Stanley maintains Equal-weight (in line with the market) rating and $99 price target.
CoreWeave and Nebius Earnings Reveal AI Cloud Computing Trends: Supply Shortage Persists, CSPs Move Toward "AI Infrastructure Operating Systems"
Odaily News - Analyst qinbafrank posted on X platform, stating that the latest earnings reports from CoreWeave (CRWV) and Nebius show the AI cloud computing (CSP) industry is entering a phase of rapid expansion. The competitive focus is shifting from simply providing GPU leasing to building AI infrastructure platforms that encompass computing power, software, data, and operational capabilities.Currently, AI computing demand still significantly exceeds short-term deliverable supply. Meanwhile, pricing power for AI computing is strengthening, but price increases are mainly concentrated on high-value resources. CoreWeave stated that prices for various GPU computing SKUs rose by approximately 25% on average in July; Nebius disclosed that prices for previous-generation GPUs increased by over 30% compared to Q1, with new contracts signed in Q2 averaging over $20 million in annualized revenue per MW, some projects reaching $20 million to $25 million, and short-term emergency capacity prices even reaching $40 million to $50 million per MW.However, price increases are mainly occurring in short-term capacity, next-generation GPUs, large-scale clusters, and production-grade AI inference scenarios. Traditional low-priority, long-term locked-in bare computing power has not seen concurrent price increases. From a profitability model perspective, project-level returns on AI computing are becoming clearer, but overall corporate return on invested capital (ROIC) still needs time to be validated. Nebius has for the first time disclosed relatively clear project payback periods, while CoreWeave is reducing GPU investment pressure through long-term contracts and asset-level financing. However, both companies remain in a high-capital-expenditure phase, with depreciation and financing costs continuing to compress profit margins.Nevertheless, an increasing number of individual projects are achieving closed-loop economic models, indicating that the AI infrastructure business model is gradually maturing. Additionally, both CoreWeave and Nebius are upgrading toward becoming "AI infrastructure operating systems." Future CSP competition will no longer be just about renting out GPU hours but will cover complete service systems including AI training, inference, storage, networking, model deployment, monitoring, security governance, and Agent runtime environments.In terms of capital models, the two companies are also taking different paths: Nebius leans more toward an asset-light model, building AI data centers through capital partners while providing AI infrastructure operations and software capabilities itself; CoreWeave, on the other hand, is promoting a hybrid cloud model through its Omni strategy, deploying complete AI cloud platforms to customers' own data centers and GPU resources, placing greater emphasis on enterprise-level and sovereign AI delivery.Overall, the AI cloud computing industry is evolving from "GPU rental providers" to "AI infrastructure platforms." Short-
AI computing financing heats up: Nvidia-backed Lambda plans to purchase GPUs with $917 million loan
Odaily News Nvidia-backed AI cloud computing provider Lambda is raising $917 million through the leveraged loan market to procure AI chips. As artificial intelligence infrastructure construction accelerates, chip financing is emerging as a new avenue for capital investment in the AI industry.Lambda belongs to the rapidly growing camp of "neoclouds" in recent years, primarily offering GPU computing power and AI infrastructure services to enterprises and developers. This financing plan will be carried out through a GPU-backed loan based on GPU asset-related rights, designed to support the company in expanding its AI computing resources.According to reports, AI infrastructure companies are actively exploring new financing methods to meet the massive capital investments required to build large-scale computing clusters. Previously, AI cloud service provider CoreWeave completed the first chip financing transaction in the institutional leveraged loan market, providing a new financing model for the industry.As demand for generative AI continues to grow, Nvidia GPU supply has become a core resource for AI companies' expansion. By using GPU assets as a financing basis, AI cloud providers can rapidly scale up computing capacity without relying entirely on equity financing, while also bringing traditional credit markets into the wave of AI infrastructure investment. (Bloomberg)
CoreWeave Makes Significant Concessions for $2.6 Billion Financing, Oversubscribed 3x After Terms Improved
According to Yonhap News Agency, AI cloud computing company CoreWeave was forced to make significant concessions in a $2.6 billion loan project collateralized by compute supply contracts with Anthropic due to sluggish investor demand: raising the annual yield on the loan to 9.1% and adding a "Cash Flow Lockbox" protection clause to ensure revenue generated from Anthropic contracts is prioritized for debt repayment, a clause that will remain in effect until 50% of the loan principal is repaid or the server utilization rate falls below a specific level. Following the adjustment of terms, subscription demand reversed rapidly—buy orders received on the morning of July 30 totaled as high as $9 billion, exceeding the target financing amount by more than three times. A CoreWeave spokesperson expressed satisfaction with the financing results, describing the term revision as a "natural process of introducing innovative financial structures in a volatile market environment."
CoreWeave and Nebius Earnings Reveal AI Cloud Computing Trends: Supply Shortage Persists, CSPs Move Toward "AI Infrastructure Operating Systems"
Odaily News - Analyst qinbafrank posted on X platform, stating that the latest earnings reports from CoreWeave (CRWV) and Nebius show the AI cloud computing (CSP) industry is entering a phase of rapid expansion. The competitive focus is shifting from simply providing GPU leasing to building AI infrastructure platforms that encompass computing power, software, data, and operational capabilities.Currently, AI computing demand still significantly exceeds short-term deliverable supply. Meanwhile, pricing power for AI computing is strengthening, but price increases are mainly concentrated on high-value resources. CoreWeave stated that prices for various GPU computing SKUs rose by approximately 25% on average in July; Nebius disclosed that prices for previous-generation GPUs increased by over 30% compared to Q1, with new contracts signed in Q2 averaging over $20 million in annualized revenue per MW, some projects reaching $20 million to $25 million, and short-term emergency capacity prices even reaching $40 million to $50 million per MW.However, price increases are mainly occurring in short-term capacity, next-generation GPUs, large-scale clusters, and production-grade AI inference scenarios. Traditional low-priority, long-term locked-in bare computing power has not seen concurrent price increases. From a profitability model perspective, project-level returns on AI computing are becoming clearer, but overall corporate return on invested capital (ROIC) still needs time to be validated. Nebius has for the first time disclosed relatively clear project payback periods, while CoreWeave is reducing GPU investment pressure through long-term contracts and asset-level financing. However, both companies remain in a high-capital-expenditure phase, with depreciation and financing costs continuing to compress profit margins.Nevertheless, an increasing number of individual projects are achieving closed-loop economic models, indicating that the AI infrastructure business model is gradually maturing. Additionally, both CoreWeave and Nebius are upgrading toward becoming "AI infrastructure operating systems." Future CSP competition will no longer be just about renting out GPU hours but will cover complete service systems including AI training, inference, storage, networking, model deployment, monitoring, security governance, and Agent runtime environments.In terms of capital models, the two companies are also taking different paths: Nebius leans more toward an asset-light model, building AI data centers through capital partners while providing AI infrastructure operations and software capabilities itself; CoreWeave, on the other hand, is promoting a hybrid cloud model through its Omni strategy, deploying complete AI cloud platforms to customers' own data centers and GPU resources, placing greater emphasis on enterprise-level and sovereign AI delivery.Overall, the AI cloud computing industry is evolving from "GPU rental providers" to "AI infrastructure platforms." Short-
Whale Rock Flagship Fund Plummets 21.7% in July, AI Bet's Year-to-Date Gains Nearly Halved
The fund previously held heavy positions in the chip and AI infrastructure sectors, with holdings including SanDisk, Bloom Energy, and CoreWeave, all three of which encountered the overall sell-off in the memory chip sector in July, with SanDisk dropping cumulatively 30% over the past month. Large tech stocks such as Google and Meta also experienced slight pullbacks, as market concerns over sustained high spending on AI intensified.
Wintermute Weekly Report: Fed Hawkish Divergence Continues, AI Mega Fund Forced Liquidation
According to the market weekly report released by market maker Wintermute (@wintermute_t), the macro and crypto markets experienced multiple shocks over the past week: On the macro level, the Federal Reserve maintained interest rates unchanged at 3.50-3.75% with a 9-3 vote. Officials Hammack, Kashkari, and Logan rarely voted together to support a 25bp rate hike, marking dissent at the second meeting since Chairman Warsh took office. The 30-year US Treasury yield once touched 5.24%, hitting a new high since July 2007, while the 10-year yielded 4.67%. The yield curve bear-steepened, indicating market doubts about the Federal Reserve's inflation credibility. On the stock market level, AI leveraged fund Situational Awareness (under Leopold Aschenbrenner) encountered margin calls due to leverage as high as 400%. Its size plummeted from $45 billion in early July to about $10 billion, forced to sell all public positions to Citadel at a discount. Long positions in AI infrastructure such as SK Hynix and CoreWeave fell sharply, partially explaining the reason for the continuous decline in chip stocks in July. On the crypto level, BTC fell 2.84% weekly and ETH fell 3.63% weekly, but Wintermute believes major sellers are nearly exhausted, and the painful trade direction has turned upward. ETH has outperformed BTC for two consecutive months,
CoreWeave explores using financial derivatives to hedge against the risk of declining memory and storage chip prices
Citrini analyst Jukan posted on X platform, stating that according to sources, CoreWeave is exploring the use of financial derivatives to hedge against the risk of future declines in memory and storage chip prices.
NVIDIA increased its stake in CoreWeave by approximately $1.78 billion in Q1 and initiated new positions in Coherent and Generate Biomedicines.
According to the latest 13F filing, as of the end of Q1 2026, NVIDIA’s proprietary investment portfolio held stocks with a total market value of approximately $18.374 billion—significantly up from $13 billion at the end of 2025. The portfolio is highly concentrated in AI-ecosystem-related names (semiconductors, cloud computing infrastructure, EDA, optics, networking, and biopharmaceuticals). Notably, in Q1, NVIDIA increased its stake in CoreWeave by 94.5% to approximately 47.21 million shares, raising the holding’s value by roughly $1.78 billion. It also initiated new positions in Coherent Corp. (approximately 7.8 million shares) and Generate Biomedicines (approximately 833,000 shares). Intel remains NVIDIA’s largest holding, with over 214.7 million shares. This reflects Jensen Huang’s strategic initiative to support the entire AI ecosystem—from chips and cloud computing to networking, photonics, and drug discovery.
Galaxy Digital Reports $216 Million Net Loss for Q1 2026, Stock Rises 5% Against Market Trend
Galaxy Digital released its first-quarter 2026 financial results, reporting a net loss of $216 million and a diluted loss per share of $0.49. The primary driver was the broad downturn in cryptocurrency markets during the quarter, with total crypto market capitalization shrinking by approximately 20%. Its crypto asset holdings declined from $1.67 billion in Q4 2025 to $1.36 billion. As of the end of March, its largest crypto holding was 6,894 BTC (approximately $431 million), followed by $61 million worth of SOL and $42 million worth of ETH. Despite the pressure on earnings, Galaxy Digital’s AI infrastructure business is progressing smoothly: the company confirmed delivery of its first data center facility to CoreWeave and expects to fulfill its full commitment of 133 megawatts of AI/IT infrastructure by the end of Q2. Boosted by this news, the company’s stock (NASDAQ: GLXY) rose 5% intraday—a move that diverged from Bitcoin’s concurrent decline. Wall Street analysts currently assign GLXY an aggregate rating of “Moderate Buy,” with a consensus target price of $39.40—implying roughly 50% upside from its share price of $26.30 at the time of writing.
Serenity: The AI Supply Chain Boom Is Far From Over, With Storage, Packaging, and Power Sectors Poised for Long-Term Demand Surge
Odaily News "White-Haired Stock God" Serenity shared insights on the AI industry chain on the X platform, noting that AI infrastructure demand is driving multiple sectors—including storage, advanced packaging, computing power financing, optical communications, power supply, and electronic components—into a long-term expansion cycle. The AI supply chain remains in a phase of rapid growth.In the storage sector, Serenity cited UBS forecasts indicating that traditional DRAM manufacturers (such as Micron) could see gross margins reach an unprecedented 95% by 2027, potentially even surpassing the gross margin levels of HBM products. Additionally, SanDisk's long-term agreements already cover approximately two-thirds of its 2028 production capacity, with minimum contracted revenue reaching $93 billion. Given its current market cap of around $239 billion, this suggests its future revenue targets could persist for years, making it difficult to simply classify the company as a traditional cyclical stock.On the cloud computing infrastructure front, CoreWeave has signed agreements to use Nvidia A100 GPUs through 2029. This is a positive development for emerging cloud computing companies such as Nebius and Iren, and it also weakens some investors' bearish thesis centered on the rapid depreciation of older GPUs.AI model companies are also continuing to grow at a pace that exceeds expectations. Frontier AI labs are still maintaining extremely rapid growth rates, and a slowdown in growth would actually be a cause for concern. The market projects that Anthropic's 2028 revenue could reach $190 billion to $200 billion.However, advanced packaging and semiconductor infrastructure remain core bottlenecks. The head of advanced packaging at TSMC has stated that in the coming years, the industry may face not only memory shortages but also tight supply of ABF substrates.Serenity concluded that the AI infrastructure supply chain is continuously expanding. From GPUs, storage, and advanced packaging to power, optical communications, and electronic components, every segment is showing a long-term demand growth trend. The AI supply chain is still in a high-speed development stage.
CoreWeave and Nebius Earnings Reveal AI Cloud Computing Trends: Supply Shortage Persists, CSPs Move Toward "AI Infrastructure Operating Systems"
Odaily News - Analyst qinbafrank posted on X platform, stating that the latest earnings reports from CoreWeave (CRWV) and Nebius show the AI cloud computing (CSP) industry is entering a phase of rapid expansion. The competitive focus is shifting from simply providing GPU leasing to building AI infrastructure platforms that encompass computing power, software, data, and operational capabilities.Currently, AI computing demand still significantly exceeds short-term deliverable supply. Meanwhile, pricing power for AI computing is strengthening, but price increases are mainly concentrated on high-value resources. CoreWeave stated that prices for various GPU computing SKUs rose by approximately 25% on average in July; Nebius disclosed that prices for previous-generation GPUs increased by over 30% compared to Q1, with new contracts signed in Q2 averaging over $20 million in annualized revenue per MW, some projects reaching $20 million to $25 million, and short-term emergency capacity prices even reaching $40 million to $50 million per MW.However, price increases are mainly occurring in short-term capacity, next-generation GPUs, large-scale clusters, and production-grade AI inference scenarios. Traditional low-priority, long-term locked-in bare computing power has not seen concurrent price increases. From a profitability model perspective, project-level returns on AI computing are becoming clearer, but overall corporate return on invested capital (ROIC) still needs time to be validated. Nebius has for the first time disclosed relatively clear project payback periods, while CoreWeave is reducing GPU investment pressure through long-term contracts and asset-level financing. However, both companies remain in a high-capital-expenditure phase, with depreciation and financing costs continuing to compress profit margins.Nevertheless, an increasing number of individual projects are achieving closed-loop economic models, indicating that the AI infrastructure business model is gradually maturing. Additionally, both CoreWeave and Nebius are upgrading toward becoming "AI infrastructure operating systems." Future CSP competition will no longer be just about renting out GPU hours but will cover complete service systems including AI training, inference, storage, networking, model deployment, monitoring, security governance, and Agent runtime environments.In terms of capital models, the two companies are also taking different paths: Nebius leans more toward an asset-light model, building AI data centers through capital partners while providing AI infrastructure operations and software capabilities itself; CoreWeave, on the other hand, is promoting a hybrid cloud model through its Omni strategy, deploying complete AI cloud platforms to customers' own data centers and GPU resources, placing greater emphasis on enterprise-level and sovereign AI delivery.Overall, the AI cloud computing industry is evolving from "GPU rental providers" to "AI infrastructure platforms." Short-
AI computing financing heats up: Nvidia-backed Lambda plans to purchase GPUs with $917 million loan
Odaily News Nvidia-backed AI cloud computing provider Lambda is raising $917 million through the leveraged loan market to procure AI chips. As artificial intelligence infrastructure construction accelerates, chip financing is emerging as a new avenue for capital investment in the AI industry.Lambda belongs to the rapidly growing camp of "neoclouds" in recent years, primarily offering GPU computing power and AI infrastructure services to enterprises and developers. This financing plan will be carried out through a GPU-backed loan based on GPU asset-related rights, designed to support the company in expanding its AI computing resources.According to reports, AI infrastructure companies are actively exploring new financing methods to meet the massive capital investments required to build large-scale computing clusters. Previously, AI cloud service provider CoreWeave completed the first chip financing transaction in the institutional leveraged loan market, providing a new financing model for the industry.As demand for generative AI continues to grow, Nvidia GPU supply has become a core resource for AI companies' expansion. By using GPU assets as a financing basis, AI cloud providers can rapidly scale up computing capacity without relying entirely on equity financing, while also bringing traditional credit markets into the wave of AI infrastructure investment. (Bloomberg)
Wintermute Weekly Report: Fed Hawkish Divergence Continues, AI Mega Fund Forced Liquidation
According to the market weekly report released by market maker Wintermute (@wintermute_t), the macro and crypto markets experienced multiple shocks over the past week: On the macro level, the Federal Reserve maintained interest rates unchanged at 3.50-3.75% with a 9-3 vote. Officials Hammack, Kashkari, and Logan rarely voted together to support a 25bp rate hike, marking dissent at the second meeting since Chairman Warsh took office. The 30-year US Treasury yield once touched 5.24%, hitting a new high since July 2007, while the 10-year yielded 4.67%. The yield curve bear-steepened, indicating market doubts about the Federal Reserve's inflation credibility. On the stock market level, AI leveraged fund Situational Awareness (under Leopold Aschenbrenner) encountered margin calls due to leverage as high as 400%. Its size plummeted from $45 billion in early July to about $10 billion, forced to sell all public positions to Citadel at a discount. Long positions in AI infrastructure such as SK Hynix and CoreWeave fell sharply, partially explaining the reason for the continuous decline in chip stocks in July. On the crypto level, BTC fell 2.84% weekly and ETH fell 3.63% weekly, but Wintermute believes major sellers are nearly exhausted, and the painful trade direction has turned upward. ETH has outperformed BTC for two consecutive months,
$3.5 Billion Debt Financing: Galaxy Digital to Support Data Center Projects
sources familiar with the matter revealed Galaxy Digital Inc. plans to issue approximately $3.5 billion in high-yield bonds for the first time, aiming to fund data center projects associated with CoreWeave Inc. According to the sources, Galaxy Digital is marketing the bond issuance to investors at a yield of around 9%. Morgan Stanley and Goldman Sachs are acting as underwriters for this issuance, with pricing expected to be finalized on Thursday. The sources requested anonymity as the information has not yet been made public.
Binance will add 10 new bStocks as collateral assets
According to the official announcement, Binance will add 10 bStocks tokens as eligible collateral assets to Cross Margin, Portfolio Margin, and Portfolio Margin Pro on July 22, 2026 at 13:30 (UTC), including SouthKoreaBull3XETF (KORUB), AXT (AXTIB), CoreWeave (CRWVB), DirexionMUBull2XETF (MUUB), GraniteShares2XLongMRVLETF (MVLLB), Tradr2XLongSNDKETF (SNXXB), GraniteShares2XLongINTCETF (INTWB), ProSharesUltraProQQQ (TQQQB), Quantinuum (QNTB), and Oracle (ORCLB). Margin trading for the corresponding bStocks trading pairs will be enabled simultaneously. This feature is available only to VIP3 and above users; borrowing is not currently supported.
Related news
Hudson River Trading Signs Multi-Billion-Dollar AI Cloud Computing Agreement with CoreWeave
According to Bloomberg, Hudson River Trading has signed a multi-year agreement with CoreWeave Inc. to leverage the latter's AI computing services to build new trading research and models. CoreWeave Chief Revenue Officer Jon Jones stated that the agreement represents a "major expansion" of their existing partnership, but did not disclose specific financial details.
AI data center operator DataVita completes £300 million funding round with participation from ING and others
Odaily News: AI data center operator DataVita has announced securing £300 million (approximately $406 million) in funding to expand its artificial intelligence data center campus at the AI Growth Zone in Lanarkshire, Scotland.The funding was provided by a consortium consisting of ING, ABN AMRO, Spain's Santander Bank, the Scottish National Investment Bank, and Siemens Financial Services, with the UK National Wealth Fund guaranteeing £202 million of the loans.DataVita stated that the funds will be used to expand its existing DV1 data center and construct the new DV3 facility. Upon completion, both DV1 and DV3 will each provide 40MW of power capacity, adding a total of 80MW of new capacity. Currently, AI cloud computing provider CoreWeave has already pre-leased the full capacity of both data centers under a 15-year lease term. CoreWeave primarily provides computing infrastructure services to multiple leading AI model developers. (Bloomberg)
Serenity: The AI Supply Chain Boom Is Far From Over, With Storage, Packaging, and Power Sectors Poised for Long-Term Demand Surge
Odaily News "White-Haired Stock God" Serenity shared insights on the AI industry chain on the X platform, noting that AI infrastructure demand is driving multiple sectors—including storage, advanced packaging, computing power financing, optical communications, power supply, and electronic components—into a long-term expansion cycle. The AI supply chain remains in a phase of rapid growth.In the storage sector, Serenity cited UBS forecasts indicating that traditional DRAM manufacturers (such as Micron) could see gross margins reach an unprecedented 95% by 2027, potentially even surpassing the gross margin levels of HBM products. Additionally, SanDisk's long-term agreements already cover approximately two-thirds of its 2028 production capacity, with minimum contracted revenue reaching $93 billion. Given its current market cap of around $239 billion, this suggests its future revenue targets could persist for years, making it difficult to simply classify the company as a traditional cyclical stock.On the cloud computing infrastructure front, CoreWeave has signed agreements to use Nvidia A100 GPUs through 2029. This is a positive development for emerging cloud computing companies such as Nebius and Iren, and it also weakens some investors' bearish thesis centered on the rapid depreciation of older GPUs.AI model companies are also continuing to grow at a pace that exceeds expectations. Frontier AI labs are still maintaining extremely rapid growth rates, and a slowdown in growth would actually be a cause for concern. The market projects that Anthropic's 2028 revenue could reach $190 billion to $200 billion.However, advanced packaging and semiconductor infrastructure remain core bottlenecks. The head of advanced packaging at TSMC has stated that in the coming years, the industry may face not only memory shortages but also tight supply of ABF substrates.Serenity concluded that the AI infrastructure supply chain is continuously expanding. From GPUs, storage, and advanced packaging to power, optical communications, and electronic components, every segment is showing a long-term demand growth trend. The AI supply chain is still in a high-speed development stage.
Morgan Stanley: CoreWeave Adds Record 500MW Capacity in Single Quarter, High Debt and Customer Concentration Weigh on Valuation
According to TechFlow Research, Morgan Stanley's August Q2 earnings report indicated that CoreWeave added 500MW of net active power in a single quarter, exceeding any quarter in history, more than three times year-over-year. Management reaffirmed the target of reaching at least 8GW before 2030. FY26 revenue guidance midpoint was raised 2% to $12.4 billion to $13.2 billion, ARR midpoint was raised 3% to $18.5 billion to $19.5 billion. The company raised full-year capital expenditure guidance midpoint by 12% to $35.5 billion to $39.0 billion, Q3 capital expenditure guidance is $11.5 billion to $13.5 billion, higher than the market expectation of $10 billion. Managed Inference Platform (managed inference platform) ARR grew from $1 million to over $100 million, expected to reach at least $250 million by year-end. The research report judges that Q2 adjusted operating margin was about 8%, higher than expected, but Q3 margin guidance of 5.8% to 7.2% is lower than market expectations, Q4 margin needs to increase significantly to achieve full-year guidance. Morgan Stanley expects CoreWeave FY27 operating margin to be 15.9%, FY28 to be 22.4%, free cash flow to remain negative until 2028, and debt is expected to increase to approximately $38 billion by the end of 2026. Morgan Stanley maintains Equal-weight (in line with the market) rating and $99 price target.
CoreWeave and Nebius Earnings Reveal AI Cloud Computing Trends: Supply Shortage Persists, CSPs Move Toward "AI Infrastructure Operating Systems"
Odaily News - Analyst qinbafrank posted on X platform, stating that the latest earnings reports from CoreWeave (CRWV) and Nebius show the AI cloud computing (CSP) industry is entering a phase of rapid expansion. The competitive focus is shifting from simply providing GPU leasing to building AI infrastructure platforms that encompass computing power, software, data, and operational capabilities.Currently, AI computing demand still significantly exceeds short-term deliverable supply. Meanwhile, pricing power for AI computing is strengthening, but price increases are mainly concentrated on high-value resources. CoreWeave stated that prices for various GPU computing SKUs rose by approximately 25% on average in July; Nebius disclosed that prices for previous-generation GPUs increased by over 30% compared to Q1, with new contracts signed in Q2 averaging over $20 million in annualized revenue per MW, some projects reaching $20 million to $25 million, and short-term emergency capacity prices even reaching $40 million to $50 million per MW.However, price increases are mainly occurring in short-term capacity, next-generation GPUs, large-scale clusters, and production-grade AI inference scenarios. Traditional low-priority, long-term locked-in bare computing power has not seen concurrent price increases. From a profitability model perspective, project-level returns on AI computing are becoming clearer, but overall corporate return on invested capital (ROIC) still needs time to be validated. Nebius has for the first time disclosed relatively clear project payback periods, while CoreWeave is reducing GPU investment pressure through long-term contracts and asset-level financing. However, both companies remain in a high-capital-expenditure phase, with depreciation and financing costs continuing to compress profit margins.Nevertheless, an increasing number of individual projects are achieving closed-loop economic models, indicating that the AI infrastructure business model is gradually maturing. Additionally, both CoreWeave and Nebius are upgrading toward becoming "AI infrastructure operating systems." Future CSP competition will no longer be just about renting out GPU hours but will cover complete service systems including AI training, inference, storage, networking, model deployment, monitoring, security governance, and Agent runtime environments.In terms of capital models, the two companies are also taking different paths: Nebius leans more toward an asset-light model, building AI data centers through capital partners while providing AI infrastructure operations and software capabilities itself; CoreWeave, on the other hand, is promoting a hybrid cloud model through its Omni strategy, deploying complete AI cloud platforms to customers' own data centers and GPU resources, placing greater emphasis on enterprise-level and sovereign AI delivery.Overall, the AI cloud computing industry is evolving from "GPU rental providers" to "AI infrastructure platforms." Short-
CoreWeave extends Nvidia A100 GPU lease contract through 2029
Odaily News: Nitin Agrawal, CFO of AI cloud computing company CoreWeave, stated that the company recently signed a new lease contract for Nvidia A100 GPUs, extending through 2029. He also noted that CoreWeave's older-generation Nvidia GPUs are now "basically fully leased out." (Business Insider)