Nvidia investors expect the chip designer to report higher-than-estimated quarterly revenue, driven by the rise of generative artificial intelligence apps, while concerns remain about the company's ability to meet demand and potential competition from rival AMD.
Wall Street rises ahead of Nvidia's profit report, as investors anticipate whether the AI frenzy is justified and whether the chip maker can meet high expectations.
Nvidia's sales continue to soar as demand for its highest-end AI chip, the H100, remains extremely high among tech companies, contributing to a 171% annual sales growth and a gross margin expansion to 71.2%, leading the company's stock to rise over 200% this year.
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's stock reaches a new high as Wall Street analysts praise the company's strong earnings, which demonstrate that the artificial-intelligence industry is continuing to drive its growth.
Nvidia's revenue is expected to jump 170% to around $16 billion as demand for its processors in the field of artificial intelligence continues to soar, leaving rival companies such as AMD and Intel falling behind in the AI market.
Chip stocks, including Nvidia, experienced a selloff in the technology sector despite Nvidia's strong performance, leading to concerns that spending on AI hardware may be affecting traditional chip companies like Intel.
AMD has acquired Mipsology, a French startup specializing in AI software, to enhance its AI inference capabilities and challenge Nvidia's dominance in the AI chip market.
AMD investors may be feeling left out as the company struggles to match the financial growth and stockholder returns of its competitor, Nvidia, but there is still potential for AMD to narrow the gap in the generative AI market and offer solid returns in the long term.
Nvidia has been a major beneficiary of the growing demand for artificial intelligence (AI) chips, with its stock up over 3x this year, but Advanced Micro Devices (AMD) is also poised to emerge as a key player in the AI silicon space with its new MI300X chip, which is targeted specifically at large language model training and inference for generative AI workloads, and could compete favorably with Nvidia.
Nvidia's stock is reaching all-time highs, but one analyst argues it is still cheap, as it trades at a modest premium compared to other AI-related stocks and has a lower multiple than industry stalwarts like Amazon, Adobe, and Microsoft.
Microsoft's integration of OpenAI's AI algorithms has resulted in a 35% increase in the company's stock gains, while Alphabet and Advanced Micro Devices (AMD) are also attractive AI stocks due to their AI deployments and potential for earnings growth.
Insiders at Advanced Micro Devices (NASDAQ:AMD) have been selling a significant stake in the company, raising concerns among investors.
The rise of artificial intelligence (AI) is a hot trend in 2023, with the potential to add trillions to the global economy by 2030, and billionaire investors are buying into AI stocks like Nvidia, Meta Platforms, Okta, and Microsoft.
Tech companies, such as Microsoft, Amazon, and Advanced Micro Devices (AMD), are attractive investment choices due to their long-term potential in AI, e-commerce, and chip development, respectively. These companies have a history of offering reliable gains and are well-positioned to benefit from the growth and demand in the tech industry.
AMD has the potential to capture a significant share of the growing generative AI industry, with the company's data center guidance showing high revenue growth in the upcoming quarter and the anticipation of its upcoming MI300X processors driving continuous quarter-over-quarter growth in the data center sector.
Advanced Micro Devices (AMD) CEO states that the demand for artificial intelligence semiconductors is skyrocketing.
Micron Technology is the best AI stock to buy in September due to its potential for a memory market recovery, its progress in high-bandwidth memory (HBM) for AI applications, and its technological lead over rivals in the memory industry.
The video discusses Nvidia, Intel, and Advanced Micro Devices in relation to the current AI craze, questioning whether the current leader in the field will maintain its position.
Semiconductor stocks, particularly Nvidia, have outperformed the market due to the high demand for chips in AI applications, making Nvidia the better AI stock to buy compared to Intel.
Artificial intelligence stocks, including C3.ai, Microsoft, Snap, and AMD, have experienced a shift in market sentiment as investors focus on the fundamentals and question whether the AI rally has reached its peak.
Advanced Micro Devices (AMD) has been downgraded to a sell due to concerns about high expectations for A.I. revenue and the belief that AMD's A.I. GPU offerings will lag behind Nvidia, leading to underperformance and a recommendation to sell.
AI may be the biggest technological shift since the internet, and three stocks to buy and hold if this prediction holds true are Alphabet, Microsoft, and Amazon, while caution is advised for Nvidia due to its valuation.
Despite a significant decline in PC graphics card shipments due to the pandemic, Advanced Micro Devices (AMD) sees a glimmer of hope as shipments increase by 3% from the previous quarter, indicating a potential bottoming out of demand, while its data center GPU business is expected to thrive in the second half of the year due to increased interest and sales in AI workloads.
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.
AI stocks have emerged as the driving force behind the stock market rally, with nearly $500 billion added to the US market cap in 2023, led by companies like NVIDIA and Apple, and the growth prospects of AI continue to be driven by rising demand for software and semiconductor chips.
Nvidia's stock has seen a 200% gain this year, highlighting the lucrative potential of the artificial intelligence trade.
Nvidia, the leader in AI infrastructure, has experienced substantial growth and is expected to continue growing, but investors should be cautious of the stock's high valuation and potential volatility.
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.
AMD's director for the commercial client business, Justin Galton, believes that AI adoption on desktops is not yet widespread and may take some time to become apparent, with AMD's dedicated AI accelerator currently only available in one CPU model and more AI-equipped processors set to be released in 2024. Galton also mentioned that small to medium businesses may not be enthusiastic about AI, and that Intel may have more AI-ready desktop processors than AMD. Additionally, a gaming market report predicts a drop in demand for gaming PCs in 2023, while gaming monitor shipments are expected to increase. With regards to AMD's products, Galton said that buyers are currently opting for modestly priced PCs with Ryzen 5000 and 6000 models due to Intel's excess inventory. Additionally, AMD aims to expand its market share in commercial PCs to 20% in 2024.
The growing demand for inferencing in artificial intelligence (AI) technology could have significant implications for AI stocks such as Nvidia, with analysts forecasting a shift from AI systems for training to those for inferencing. This could open up opportunities for other companies like Advanced Micro Devices (AMD) to gain a foothold in the market.
