Intel has unveiled a new glass substrate technology that it says will “benefit our key players and foundry customers for decades to come.” The result of 10 years and $1 billion in development, the concept substitutes glass for the usual resin in which processors are embedded, enabling greater speed and the ability to accommodate the industry’s move toward packaging numerous “chiplets” into more powerful large processors, a configuration that has proven beneficial for the acceleration that drives artificial intelligence. This technology could potentially vault Intel ahead of competitors, some say. Continue reading Intel Has Plans to Power AI with Glass Substrates for Its Chips

Nvidia, Intel and ARM have published a draft specification for a common AI interchange format aimed at faster and more efficient system development. The proposed “8-bit floating point” standard, known as FP8, will potentially accelerate both training and operating the systems by reducing memory usage and optimizing interconnect bandwidth. The lower precision number format is a key factor in driving efficiency. Transformer networks, in particular, benefit from an 8-bit floating point precision, and having a common interchange format should facilitate interoperability advances for both hardware and software platforms. Continue reading Nvidia, Intel and ARM Publish New FP8 AI Interchange Format