- Amazon Web Services (AWS) is facing pressure as its growth and profit margins decline, while competitors like Microsoft and Google gain ground in the artificial intelligence (AI) market.
- AWS CEO Adam Selipsky defended the company's position in the generative AI race, stating that AWS is not behind.
- AWS announced that its servers powered by Nvidia H100 graphics processing units are now available to customers, but only in its North Virginia and Oregon data centers.
- The company's second quarter earnings report is expected to address concerns about AWS and AI.
- Nvidia is supporting multiple cloud-provider startups, further intensifying competition in the AI market.
Main topic: Samsung Memory Chips and Drives on sale
Key points:
1. Samsung PRO Plus 512GB MicroSD is currently on sale for $35, a 42% discount.
2. Samsung 970 EVO Plus SSD 2TB is on sale for $80, a 20% discount.
3. Samsung T7 Shield 1TB is on sale for $80, a 50% discount.
Nvidia's CEO, Jensen Huang, predicts that the artificial intelligence boom will continue into next year, and the company plans to ramp up production to meet the growing demand, leading to a surge in stock prices and a $25 billion share buyback.
Semiconductor stocks in Asia, including Taiwan Semiconductor Manufacturing Corp and Samsung Electronics, surged following Nvidia's strong quarterly results and optimistic guidance, driven by the demand for AI chips used in data centers and artificial intelligence applications.
Nvidia has emerged as the clear leader in AI chip sales, with its Data Center revenue quadrupling over the last two years and estimated to hold over 70% of the market share, while AMD has shown slower growth and Intel has struggled to gain market share in AI chips.
Nvidia, the world's most valuable semiconductor company, is experiencing a new computing era driven by accelerated computing and generative AI, leading to significant revenue growth and a potential path to becoming the largest semiconductor business by revenue, surpassing $50 billion in annual revenue this year.
China is aiming to produce its own high-bandwidth memory (HBM) chips for AI processors, despite facing challenges from US sanctions and the technological lead of global leaders such as SK Hynix, Samsung, and Micron. ChangXin Memory Technologies (CXMT) is considered China's best chance for producing HBMs, but it may take up to four years to bring products to market.
Shares in Dell and Samsung have risen as investors speculate on their future AI prospects, with Dell attributing its revenue growth to rising demand for AI-optimized servers and workstations, and Samsung's price increase fueled by expectations of supplying advanced memory chips for AI processing.
Intel plans to overtake Samsung Foundry and TSMC by developing 1.8nm semiconductor chips by 2025, while retaining partnerships with TSMC for future processors like Apple's and AMD's, and Qualcomm is rumored to drop Intel's 20A process in favor of Samsung Foundry's 3nm process for Snapdragon 8 Gen 4 chips.
Nvidia's data center graphics cards continue to experience high demand, leading to record-high shares; however, investors should be aware of the risk of AI chip supply shortages. Microsoft and Amazon are alternative options for investors due to their growth potential in AI and other sectors.
Samsung plans to equip all its new home appliances with neural processing units (NPUs) by 2024, adding artificial intelligence (AI) capabilities such as voice recognition and machine vision to its products.
Nvidia's record sales in AI chips have deterred investors from funding semiconductor start-ups, leading to an 80% decrease in US deals, as the cost of competing chips and the difficulty of breaking into the market have made them riskier investments.
Nvidia's stock has seen a 200% gain this year, highlighting the lucrative potential of the artificial intelligence trade.
Nvidia's strong demand for chips in the AI industry is driving its outstanding financial performance, and Micron Technology could benefit as a key player in the memory market catering to the growing demand for powerful memory chips in AI-driven applications.
