GenAI’s rapid growth is pushing the limits of semiconductor technology, demanding breakthroughs in performance, power efficiency, and reliability. Training and inference workloads for models like ...

Amazon Web Services Inc. is gearing up to refresh two of its custom processor families, CNBC reported late Tuesday. The cloud giant plans to release an updated version of its AWS Graviton4 central ...

Google Cloud is introducing what it calls its most powerful artificial intelligence infrastructure to date, unveiling a seventh-generation Tensor Processing Unit and expanded Arm-based computing ...

Anthropic announced on April 7 that it has signed an agreement with Google and Broadcom to secure multiple gigawatts of ...

Meta Platforms Inc. is forging ahead with its plans to reduce its reliance on Nvidia Corp.’s graphics processing units, and is currently testing its first in-house artificial intelligence training ...

Meta was one of the first companies to build its RISC-V-based chips for AI inference several years ago to cut costs and reduce reliance on Nvidia. Reuters reports that the company went one step ...

Nvidia’s (NVDA.O) newest chips have made gains in training large artificial intelligence systems, new data released this week showed, with the number of chips required to train large language models ...

Hot Chips, a leading semiconductor design conference taking place Aug. 24–26 at Stanford University, will feature Nvidia's latest innovations in rack-scale AI systems, neural rendering and ...

To enhance the performance of advanced logic and memory chips required for AI computing, global semiconductor equipment leader Applied Materials has unveiled new semiconductor manufacturing systems.

Google has introduced Ironwood, its seventh-generation Tensor Processing Unit (TPU), designed for large-scale AI model training, reinforcement learning, and inference. Save my User ID and Password ...