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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-
JPMorgan: Expects SanDisk Investor Day Revenue Guidance to Grow Over 20% YoY, LTAs/HBM/eSSD Triple Factors Reshape Storage Cycle
According to Chaoxiang Research, JPMorgan's expert commentary on August 12 noted that SanDisk will hold an Investor Day on August 13. The market expects management to provide guidance for annual revenue growth of over 20%, flat gross margin, operating leverage driving EPS growth of over 20% to 30%, and significantly reduced cyclicality. Investor communications indicate the market expects the annual buyback ratio to be around 10%. To date, SanDisk has signed 8 customers and 10 LTAs, covering over 50% of FY2027 wafer capacity, with minimum revenue commitments reaching $93.9 billion. The HBM market is moving from standardization to customization; Micron stated that HBM4E will usher in the era of "customized SKUs," and the ratio of HBM encroachment on traditional DRAM capacity has worsened from 3:1 to approximately 4:1. eSSDs now account for 48% of global NAND shipments, up from just 26% a year ago, with industry revenue increasing fivefold year-over-year. JPM judges that the combination of LTAs, HBM customization, and changes in eSSD demand structure is pushing memory chips from a commodity cycle to a structural cycle, and valuation methodologies may need adjustment. Quantinuum's quantum computer commercialization is accelerating, with CY27 revenue guidance exceeding $60 million (+34%); JPM maintains a $97 price target and Overweight rating. Super Micro Computer F4Q26 gross margin of 17.6% exceeded guidance, orders exceeded 6
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-
Goldman Sachs: US Plans to Ban Chinese Optical Modules, Leading Manufacturers' Moat Deeper Than Market Expects
According to TechFlow Research, Reuters reported on August 4 that the Trump administration and the FCC are drafting a plan to ban US imports of Chinese data center components, with optical modules specifically mentioned. Goldman Sachs responded to three core questions in an August 10 research report: rapid technological iteration, strong AI demand, and high R&D requirements for multiple SKU varieties make clients more reliant on existing leading manufacturers in the current environment and unlikely to switch to new suppliers easily. Seven of the top ten global optical module suppliers are headquartered in China, and their market share in 2025 will expand further compared to 2024. Goldman Sachs pointed out that leading manufacturers have outstanding advantages in capacity commitments, automated production, and manufacturing efficiency. Product upgrades to 1.6T and above further raise the manufacturing threshold, making it difficult for small and medium-sized manufacturers to catch up in the short term. Overseas capacity deployment is underway; Eoptolink's Phase I in Thailand is at full capacity, and Phase II will expand in 2026, establishing a long-term diversification trend. Goldman Sachs gave Buy ratings to Eoptolink and Robotechnik, and also gave Buy ratings to FOCI, LandMark, and VPEC (all Taiwan stocks), believing that technology, capacity, and customer synergy constitute difficult-to-replicate competitive barriers.
Related news
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-
JPMorgan: Expects SanDisk Investor Day Revenue Guidance to Grow Over 20% YoY, LTAs/HBM/eSSD Triple Factors Reshape Storage Cycle
According to Chaoxiang Research, JPMorgan's expert commentary on August 12 noted that SanDisk will hold an Investor Day on August 13. The market expects management to provide guidance for annual revenue growth of over 20%, flat gross margin, operating leverage driving EPS growth of over 20% to 30%, and significantly reduced cyclicality. Investor communications indicate the market expects the annual buyback ratio to be around 10%. To date, SanDisk has signed 8 customers and 10 LTAs, covering over 50% of FY2027 wafer capacity, with minimum revenue commitments reaching $93.9 billion. The HBM market is moving from standardization to customization; Micron stated that HBM4E will usher in the era of "customized SKUs," and the ratio of HBM encroachment on traditional DRAM capacity has worsened from 3:1 to approximately 4:1. eSSDs now account for 48% of global NAND shipments, up from just 26% a year ago, with industry revenue increasing fivefold year-over-year. JPM judges that the combination of LTAs, HBM customization, and changes in eSSD demand structure is pushing memory chips from a commodity cycle to a structural cycle, and valuation methodologies may need adjustment. Quantinuum's quantum computer commercialization is accelerating, with CY27 revenue guidance exceeding $60 million (+34%); JPM maintains a $97 price target and Overweight rating. Super Micro Computer F4Q26 gross margin of 17.6% exceeded guidance, orders exceeded 6
Goldman Sachs: US Plans to Ban Chinese Optical Modules, Leading Manufacturers' Moat Deeper Than Market Expects
According to TechFlow Research, Reuters reported on August 4 that the Trump administration and the FCC are drafting a plan to ban US imports of Chinese data center components, with optical modules specifically mentioned. Goldman Sachs responded to three core questions in an August 10 research report: rapid technological iteration, strong AI demand, and high R&D requirements for multiple SKU varieties make clients more reliant on existing leading manufacturers in the current environment and unlikely to switch to new suppliers easily. Seven of the top ten global optical module suppliers are headquartered in China, and their market share in 2025 will expand further compared to 2024. Goldman Sachs pointed out that leading manufacturers have outstanding advantages in capacity commitments, automated production, and manufacturing efficiency. Product upgrades to 1.6T and above further raise the manufacturing threshold, making it difficult for small and medium-sized manufacturers to catch up in the short term. Overseas capacity deployment is underway; Eoptolink's Phase I in Thailand is at full capacity, and Phase II will expand in 2026, establishing a long-term diversification trend. Goldman Sachs gave Buy ratings to Eoptolink and Robotechnik, and also gave Buy ratings to FOCI, LandMark, and VPEC (all Taiwan stocks), believing that technology, capacity, and customer synergy constitute difficult-to-replicate competitive barriers.