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On August 20, Alibaba Group (09988.HK) released its financial report for the first quarter of fiscal year 2027. During the analyst conference call, Group CEO Wu Yongming stated that AI has become the core engine driving accelerated growth for Alibaba Cloud. This quarter, the annual recurring revenue (ARR) from AI-related products surpassed 49.5 billion yuan (7.3 billion USD), accounting for 35% of Alibaba Cloud's external commercialization revenue. The gross margin for AI-related products is significantly higher than the average level for cloud products.

[Alibaba's Wu Yongming: AI Annual Revenue Exceeds 49.5 Billion Yuan]On August 20, Alibaba Group (09988.HK) released its financial report for the first quarter of fiscal year 2027. During the analyst conference call, Group CEO Wu Yongming stated that AI has become the core engine driving accelerated growth for Alibaba Cloud. This quarter, the annual recurring revenue (ARR) from AI-related products surpassed 49.5 billion yuan (7.3 billion USD), accounting for 35% of Alibaba Cloud's external commercialization revenue. The gross margin for AI-related products is significantly higher than the average level for cloud products.

Alibaba's Wu Yongming: AI Annual Revenue Exceeds 49.5 Billion Yuan

On August 20, Cronos Labs CEO Ryan Wyatt stated, "There is a need to reassess the token economics of CRO. The team has much to discuss and plan in the coming months. This includes the buyback and burn mechanism corresponding to the revenue from the Cronos App, community burns, and other related arrangements. These topics have been incorporated into the project's Q4 roadmap, and a complete plan will be gradually announced at that time."

[Cronos Co-Founder: New CRO Token Economics to be Announced in Q4, Plans for Revenue Buyback and Burn]On August 20, Cronos Labs CEO Ryan Wyatt stated, "There is a need to reassess the token economics of CRO. The team has much to discuss and plan in the coming months. This includes the buyback and burn mechanism corresponding to the revenue from the Cronos App, community burns, and other related arrangements. These topics have been incorporated into the project's Q4 roadmap, and a complete plan will be gradually announced at that time."

Cronos Co-Founder: New CRO Token Economics to be Announced in Q4, Plans for Revenue Buyback and Burn

On August 20, Cronos Labs CEO Ryan Wyatt stated, "There is a need to reassess the token economics of CRO. The team has a lot to discuss and plan in the coming months. In particular, the buyback and burn mechanism corresponding to Cronos App revenue, community burns, and other related arrangements. These topics have been included in the project’s Q4 roadmap, and the complete plan will be gradually announced at that time."

[Cronos Co-Founder: New CRO Token Economics to be Announced in Q4, Plans for Revenue Buyback and Burn]On August 20, Cronos Labs CEO Ryan Wyatt stated, "There is a need to reassess the token economics of CRO. The team has a lot to discuss and plan in the coming months. In particular, the buyback and burn mechanism corresponding to Cronos App revenue, community burns, and other related arrangements. These topics have been included in the project’s Q4 roadmap, and the complete plan will be gradually announced at that time."

Beating AI News: UK-based AI infrastructure company Callosum has completed a $100 million seed round of financing, led by Atomico, with participation from Plural, DCVC, and the UK Sovereign AI Fund. The company has developed a suite of AI scheduling software that automatically selects the appropriate models and chips for different tasks, aiming to reduce costs and latency while ensuring effectiveness. This system goes a layer deeper than conventional model routing. A complex task can be broken down into multiple subtasks, which are then assigned to different 'model + chip' combinations. Simple tasks can run on cheaper smaller models, while speed-sensitive tasks can be handled by Cerebras, and other tasks can be allocated to various GPUs or AI acceleration chips. In previous tests, some combinations achieved costs as low as one-twelfth of GPT-5 with comparable accuracy, and speed improvements of up to 5.5 times. Callosum is also the first equity investment from the UK’s £500 million Sovereign AI Fund. The company has announced a partnership with Cerebras and has already integrated with chip manufacturers such as Rebellions and Axelera AI.

[Callosum Secures $100 Million Seed Round to Automate AI Model and Chip Selection]Beating AI News: UK-based AI infrastructure company Callosum has completed a $100 million seed round of financing, led by Atomico, with participation from Plural, DCVC, and the UK Sovereign AI Fund. The company has developed a suite of AI scheduling software that automatically selects the appropriate models and chips for different tasks, aiming to reduce costs and latency while ensuring effectiveness. This system goes a layer deeper than conventional model routing. A complex task can be broken down into multiple subtasks, which are then assigned to different 'model + chip' combinations. Simple tasks can run on cheaper smaller models, while speed-sensitive tasks can be handled by Cerebras, and other tasks can be allocated to various GPUs or AI acceleration chips. In previous tests, some combinations achieved costs as low as one-twelfth of GPT-5 with comparable accuracy, and speed improvements of up to 5.5 times. Callosum is also the first equity investment from the UK’s £500 million Sovereign AI Fund. The company has announced a partnership with Cerebras and has already integrated with chip manufacturers such as Rebellions and Axelera AI.

Callosum Secures $100 Million Seed Round to Automate AI Model and Chip Selection

According to Beating AI news, UK-based AI infrastructure company Callosum has completed a $100 million seed funding round led by Atomico, with participation from Plural, DCVC, and the UK Sovereign AI Fund. The company has developed a suite of AI scheduling software that automatically selects the appropriate models and chips for different tasks, aiming to reduce costs and latency while ensuring effectiveness. This system goes one step deeper than conventional model routing. A complex task can be broken down into multiple subtasks, each assigned to different 'model + chip' combinations. Simple tasks can utilize cheaper small models, while speed-sensitive tasks can be handled by Cerebras, and other tasks can be distributed across various GPUs or AI acceleration chips. In previous tests, some combinations achieved costs as low as one-twelfth that of GPT-5 while maintaining similar accuracy, with speed improvements of up to 5.5 times. Callosum's funding round marks the first equity investment from the UK’s £500 million Sovereign AI Fund. The company also announced a partnership with Cerebras and has already integrated with chip manufacturers such as Rebellions and Axelera AI.

[Callosum Secures $100 Million Seed Funding to Automate AI Model and Chip Selection]According to Beating AI news, UK-based AI infrastructure company Callosum has completed a $100 million seed funding round led by Atomico, with participation from Plural, DCVC, and the UK Sovereign AI Fund. The company has developed a suite of AI scheduling software that automatically selects the appropriate models and chips for different tasks, aiming to reduce costs and latency while ensuring effectiveness. This system goes one step deeper than conventional model routing. A complex task can be broken down into multiple subtasks, each assigned to different 'model + chip' combinations. Simple tasks can utilize cheaper small models, while speed-sensitive tasks can be handled by Cerebras, and other tasks can be distributed across various GPUs or AI acceleration chips. In previous tests, some combinations achieved costs as low as one-twelfth that of GPT-5 while maintaining similar accuracy, with speed improvements of up to 5.5 times. Callosum's funding round marks the first equity investment from the UK’s £500 million Sovereign AI Fund. The company also announced a partnership with Cerebras and has already integrated with chip manufacturers such as Rebellions and Axelera AI.

Callosum Secures $100 Million Seed Funding to Automate AI Model and Chip Selection

WTI crude oil has risen 3% intraday, currently priced at $86.77 per barrel. Brent crude oil has increased by 2.7% intraday, currently priced at $92.44 per barrel.

[WTI Crude Oil Rises 3% Intraday]WTI crude oil has risen 3% intraday, currently priced at $86.77 per barrel. Brent crude oil has increased by 2.7% intraday, currently priced at $92.44 per barrel.

WTI Crude Oil Rises 3% Intraday

On August 20, the yield on Germany's 5-year government bonds increased by 1 basis point, reaching 3% for the first time since 2008.

[German 5-Year Bond Yield Rises to 3% for the First Time Since 2008]On August 20, the yield on Germany's 5-year government bonds increased by 1 basis point, reaching 3% for the first time since 2008.

German 5-Year Bond Yield Rises to 3% for the First Time Since 2008

[German 5-Year Bond Yield Rises 1 Basis Point, Reaches 3% for the First Time Since 2008]On August 20, the yield on Germany's 5-year government bonds increased by 1 basis point, reaching 3% for the first time since 2008.

German 5-Year Bond Yield Rises 1 Basis Point, Reaches 3% for the First Time Since 2008

On August 20, Walmart (WMT.N) reported Q2 revenue for fiscal year 2027 of $187.94 billion, surpassing market expectations of $186.769 billion and up from $177.4 billion in the same period last year. Walmart (WMT.N) anticipates a full-year net sales growth of 4% to 5%, below the market expectation of 5.3%. The company expects adjusted earnings per share for the full year to be between $2.80 and $2.87, lower than the market expectation of $2.90. For the third quarter, adjusted earnings per share are projected to be between $0.62 and $0.64, also below the market expectation of $0.68. According to BIT (bit.com) market data, Walmart shares fell over 6% in pre-market trading, currently priced at $107.

[Walmart Shares Drop Over 6% in Pre-Market as Q2 Comparable Sales Fall Short of Expectations]On August 20, Walmart (WMT.N) reported Q2 revenue for fiscal year 2027 of $187.94 billion, surpassing market expectations of $186.769 billion and up from $177.4 billion in the same period last year. Walmart (WMT.N) anticipates a full-year net sales growth of 4% to 5%, below the market expectation of 5.3%. The company expects adjusted earnings per share for the full year to be between $2.80 and $2.87, lower than the market expectation of $2.90. For the third quarter, adjusted earnings per share are projected to be between $0.62 and $0.64, also below the market expectation of $0.68. According to BIT (bit.com) market data, Walmart shares fell over 6% in pre-market trading, currently priced at $107.

Walmart Shares Drop Over 6% in Pre-Market as Q2 Comparable Sales Fall Short of Expectations

财联社8月20日电，泡泡玛特上半年营收171.7亿元，预估199.8亿元；毛利率69.7％，预估70％；调整后净利润51.6亿元，预估66.7亿元；每股收益3.79元。

【泡泡玛特上半年营收171.7亿元 不及市场预期】财联社8月20日电，泡泡玛特上半年营收171.7亿元，预估199.8亿元；毛利率69.7％，预估70％；调整后净利润51.6亿元，预估66.7亿元；每股收益3.79元。

泡泡玛特上半年营收171.7亿元 不及市场预期

Bitcoin keeps traders guessing near $64K as stocks gain on cool US PPI data

BubbleMaps Classifies XST as a Potentially Dangerous Road Section Following a 99% Collapse Warning

Baltimore Takes Legal Action Against Sports Prediction Markets

Just Now, DeepSeek Harness Shocks the Open Source World: Everything as a Plugin

Overnight, GPT-5.6 Sol Was Accelerated 14x by OpenAI

Bank of Montreal Reports $2,970 XRP Position in $303 Billion Portfolio

Shinhan Asset Management partners with Plume on tokenized fund pilot

泡泡玛特上半年营收171.7亿元不及市场预期

Disclaimer：The content above does not represent HTX's positions.，HTX does not provide any trading recommendations.。

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泡泡玛特上半年营收171.7亿元 不及市场预期

Disclaimer：The content above does not represent HTX's positions.，HTX does not provide any trading recommendations.。

All Comments0LatestHot

Trending Topics

泡泡玛特上半年营收171.7亿元不及市场预期