South Korea's SK Hynix is negotiating with Intel to manufacture memory chips on US soil for the first time, according to sources familiar with the discussions. The deal would mark a significant shift in semiconductor manufacturing strategy.
Major chipmakers have committed to ASML's initiative to transition from 6-inch to 12-inch photomasks, forming the Large Mask Consortium to address throughput limitations in high-NA EUV lithography systems. The move aims to eliminate stitching constraints that currently prevent the newest machines from printing the largest AI chips.
SoftBank Group reported an 18% drop in fiscal first quarter profit as higher costs offset investment gains, though the company received a significant boost from Intel's tripled share price during the quarter. The results highlight mixed performance in the technology investor's AI-focused portfolio.
The U.S. National Science Foundation announced a new $100 million initiative to establish state and regional AI infrastructure hubs across the country, partnering with NVIDIA, AMD, Intel, and Dell Technologies to expand access to computing resources for researchers, students, and educators.
The U.S. National Science Foundation announced a new $100 million initiative to establish state and regional AI infrastructure hubs across the country, partnering with NVIDIA, AMD, Intel, and Dell Technologies to expand access to computing resources for researchers, students, and educators.
Google has placed orders for over three million Tensor Processing Units from Intel for 2028 delivery, representing half of Google's estimated 6 million TPU production. Nvidia is also testing Intel's manufacturing technology for its upcoming Feynman architecture.
Nvidia unveiled the RTX Spark chip for personal computers and partnered with Microsoft to launch the Surface Ultra laptop, marking Nvidia's entry as a complete PC chipmaker competing with Intel, AMD, and Qualcomm.
OpenAI launched Multipath Reliable Connection (MRC), a new open networking protocol developed with AMD, Broadcom, Intel, Microsoft, and NVIDIA to improve GPU networking performance in large-scale AI training infrastructure.
AI chip design startup Cognichip raised $60 million in funding to develop technology that uses artificial intelligence to design the chips that power AI systems. The company claims it can reduce chip development costs by over 75% and cut timelines by more than half.
