Jensen Huang, co-founder and CEO of Nvidia Corp., presents the brand new Blackwell GPU chip in the course of the Nvidia GPU Technology Conference on March 18, 2024.
David Paul Morris/Bloomberg via Getty Images
As the quarterly figures show, not all chipmakers are benefiting from the synthetic intelligence boom. This highlights the complexity of the semiconductor supply chain and the dominance of some firms over others in several parts of the sector.
Numerous semiconductor firms have reported their third-quarter financial results. Some beat expectations, others disillusioned, providing insight into how the craze for artificial intelligence is affecting their earnings.
The current interest in artificial intelligence revolves around two key concepts – large language models (LLMs) and generative AI. LLMs require enormous amounts of computing resources and data to coach and so they form the idea for generative AI applications similar to chatbots from Google and OpenAI.
The technology giants that train the LLMs don’t skimp on their expenses. Meta said on Wednesday that it expects “significant” growth in capital spending in 2025 “to support our AI research and product development efforts.” Microsoft announced this week that its capital spending rose nearly 80% to $19 billion within the June quarter in comparison with the identical period last yr.
This spending by the tech giants as they proceed to expand their computing resources has been an enormous boost for Nvidia, as the corporate’s graphics processing units (GPUs) are used to coach these LLMs.
But Nvidia’s rival AMD has launched its own chip for AI purposes, the MI300X AI chip, and is beginning to reap the fruits of its labor. AMD said Tuesday that it expects data center GPU sales to exceed $4.5 billion in 2024, up from the $4 billion the corporate forecast in April. The chip company reported second-quarter earnings and revenue that beat market expectations.
Chip manufacturers and power manufacturers also appear to be benefiting from the AI boom. TSMCthe world’s largest semiconductor maker, said last month that its second-quarter net profit rose greater than 36% from the identical period last yr as its financial results beat market expectations.
In the meantime ASMLwhich makes specialty tools used to supply the world’s most advanced chips, said last month that net orders rose 24% year-on-year within the second quarter, underscoring demand from firms like TSMC that make the semiconductors. Samsung said operating profit within the second quarter rose 1,458.2% year-on-year.
However, not all semiconductor firms benefited from the rise in AI investments, as their commitment to this technology remains to be much less pronounced at this stage of development.
Qualcomm And poor saw a decline in share price on Wednesday after the corporate issued a moderate forecast for the present quarter.
While each firms emphasize their importance for AI applications, in point of fact their involvement on this technology remains to be very limited.
Arm designs the blueprints on which many firms construct their chips, and Arm’s semiconductors are utilized in a lot of the world’s smartphones. While many electronics makers are talking about AI phones, this hasn’t translated into fundamentally higher growth for the chip designer.
The British company still derives much of its revenue from consumer electronics quite than data centers, where AMD and Nvidia are thriving. Analysts have previously told CNBC that Arm may gain advantage from AI as more devices integrate the technology.
Qualcomm’s chips are utilized in smartphones like those made by Samsung, and the corporate still derives a big portion of its revenue from mobile phones. Similar to Arm, Qualcomm’s silicon just isn’t utilized in the info centers where the LLMs are trained.
The company’s chips shall be utilized in Microsoft’s upcoming AI PCs, but Qualcomm has a longer-term plan here as well.
