Nvidia has reported explosive sales growth for AI GPU chips, which has significant implications for Advanced Micro Devices as they prepare to release a competing chip in Q4. Analysts believe that AMD's growth targets for AI GPU chips are too low and that they have the potential to capture a meaningful market share from Nvidia.
Advanced Micro Devices (AMD) is well-positioned to thrive in the artificial intelligence accelerator chip market and benefit from favorable trends in the data center, AI, and gaming, making its shares undervalued, according to Morningstar.
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.
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) stock is rising as investors recognize its potential in the artificial intelligence (AI) hardware market, making it a strong competitor to Nvidia, especially with the launch of its M1300X AI chip in the third quarter of 2023.
AMD has released version 0.8 of its Ryzen AI Software Platform, providing tools for developers to make use of the Ryzen 7040-series APUs' AI hardware engine and offering integration with popular frameworks like TensorFlow and PyTorch.
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.