Recent #AI Chip news in the semiconductor industry
➀ China currently lacks a company that can fully match Broadcom in the AI chip ASIC field;
➁ Broadcom, as a global leader in semiconductor and infrastructure software solutions, has made significant achievements in AI;
➂ Baidu, Apple, and AMD have grown through self-developed technology, while Broadcom has focused on acquisition to become a tech giant.
➀ Cambrian Era's stock has surged, with its market value reaching over 240 billion yuan, and its stock price has increased by nearly 340% this year.
➁ The reason behind Cambrian Era's strong stock performance includes its inclusion in the Shanghai Stock Exchange 50 Index, which requires funds tracking the index to buy Cambrian Era's shares passively.
➂ Despite the high valuation, Cambrian Era has never made a profit in its 7-year history, raising concerns about its sustainability.
➀ NVIDIA, AMD, and Intel have jointly invested in Ayar Labs, a startup that specializes in optical I/O solutions for large-scale AI workloads.
➁ Ayar Labs has raised $155 million in funding from investors including NVIDIA, AMD, Intel, and GlobalFoundries, valuing the company at over $1 billion.
➂ The company's optical I/O technology aims to redefine AI infrastructure by overcoming the bottlenecks of traditional copper interconnects.
➀ Amazon is investing heavily in AI cluster construction with large-scale deployment of Hopper and Blackwell GPUs.
➁ AWS has allocated billions of dollars in capital expenditures to Trainium2 AI clusters.
➂ The article discusses the limitations of AWS's previous Trainium1 and Inferentia2 chips and the advancements made with Trainium2.
➀ Nvidia predicts higher revenue for the fourth quarter, but falls short of some investor expectations.
➁ The company's new Blackwell AI chip is well-received by customers, but will initially impact gross margins.
➂ Despite the growth in demand for Nvidia's chips, which are crucial for complex AI systems, the growth rate has slowed significantly compared to previous quarters.