Nvidia's recent earnings reveal an unusual trend: older GPUs like the three-year-old A100 and the newer H100 are increasing in rental price due to soaring AI infrastructure demand. This contradicts the typical semiconductor cycle where older chips depreciate as new models arrive. The shortage spans multiple hardware generations and affects related components like memory and networking equipment, driven by hyperscalers rapidly expanding AI data centers. While this surge benefits Nvidia shareholders, it also signals a challenging and costly AI arms race with potential risks if demand slows or competition intensifies.
Infineon Technologies has partnered with NVIDIA to support the MGX AI Factory ecosystem, focusing on transforming power delivery for advanced AI data centers. Infineon's power management solutions will enable efficient power conversion within NVIDIA'...
Applied Materials CEO Gary Dickerson stated the semiconductor industry is experiencing its strongest period ever, fueled by unprecedented demand from artificial intelligence (AI). The company, a key supplier of semiconductor manufacturing equipment, ...
Laura Loomer, a political activist, has raised alarms over Nvidia CEO Jensen Huang's role on a Chinese university advisory board while also advising the US President on science and technology. She claims this dual role poses a security risk, calling ...
Nvidia CEO Jensen Huang has joined the advisory board of Tsinghua University’s School of Economics and Management in Beijing, strengthening ties with China despite ongoing US-China tensions. Tsinghua is a prestigious university closely linked to Chin...
Semiconductor stocks have rallied strongly in 2026, rising 55% year-to-date and outperforming major tech stocks by 48%. This surge is fueled by increased AI spending, which drives demand for advanced chips critical to AI network performance. While Nv...
