SambaNova Launches Intelligent AI Chip SN40L, Capable of Running 50 Trillion Parameter Models


Suning adopts domestic Cambricon AI platform to upgrade its self-developed LingSi model, enhancing tech independence amid global supply chain risks.....
Taiwan Semiconductor Manufacturing Company (TSMC), the world's largest semiconductor manufacturer, announced plans to invest at least $100 billion in the United States over the next four years to build multiple new chip fabrication facilities. The announcement was made at a press conference with former US President Trump. TSMC CEO C.C. Wei stated that the investment would primarily focus on expanding its Arizona facilities. Wei added, "We will produce many AI chips to support the progress of Artificial Intelligence." This new commitment builds upon TSMC's previous pledge of a $65 billion US investment.
According to reliable sources, ChatGPT developer OpenAI is advancing its first self-developed artificial intelligence chip project, with the design expected to be completed in the coming months and delivered to TSMC for production. The project plans to use TSMC's advanced 3nm process technology and will be equipped with high bandwidth memory, with an overall architecture similar to NVIDIA's products. This strategic initiative began in October 2023, aimed at addressing the shortage and high costs of AI chips. Sources indicate that OpenAI views this training-focused processor as an enhancement.
Recently, Chengdu Huayi revealed on its interactive platform that it has successfully developed a specialized AI chip for the edge computing field. This chip boasts an AI computing power of up to 16 Tops and is currently undergoing limited trial use among several clients in specific industries. The new chip not only offers robust computing power but also demonstrates excellent performance in video encoding and decoding, supporting video processing capabilities of up to 8K resolution. This represents a significant technological advancement for applications such as video surveillance and smart homes.
AI chip startup Etched.ai has recently secured $120 million in funding to develop transformer-specific AI chips designed for training and deploying large language models.