China’s push to build its own high‑end AI accelerators has moved from aspiration to measurable silicon, and the obvious ...
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 ...
I will review the AI chips made by AMD, Google and Tesla. It is possible that Tesla with a strong Dojo 3 chip could pass AMD as second best AI chip performance and volume of chips. The top line of ...
The Shanghai-listed chipmaker launched the Huashan chip for AI and the Lushan chip for gaming, promising superior performance ...
SAN FRANCISCO (Reuters) -Nvidia's newest chips have made gains in training large artificial intelligence systems, new data released on Wednesday showed, with the number of chips required to train ...
I know that AI experts like Epoch AI have been projecting a continuation of the 5X per year increase in AI training compute but Grok 2 was released in August 2024 and 6 months later Grok 3 was ...
Kinex™ is the industry’s first integrated die-to-wafer hybrid bonding system; enables production of higher performance, lower power advanced logic and memory chips Xtera™ system enables higher ...
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.
Meta is reportedly testing an in-house chip for training AI systems, a part of a strategy to reduce its reliance on hardware makers like Nvidia. According to Reuters, Meta’s chip, which is designed to ...
Current political and economic issues succinctly explained. On December 8, the Trump administration announced plans to loosen U.S. export controls on artificial intelligence (AI) chips to China by ...
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 ...