Big tech companies like NVIDIA and AMD make special chips that power everything from driverless cars to smart gadgets.
Indian company, Vicharak recently secured funding of ₹1 crore, for creating Vaaman, a compact computing board featuring a six-core ARM CPU and a field-programmable gate array (FPGA) with 1,12,128 logic cells.
In the race to power AI applications, inference chips are the unsung heroes driving real-time decisions, from chatbots to recommendation engines.
NVIDIA rolled out its highly anticipated H200 Tensor Core GPU, a successor to the H100, designed for generative AI and high-performance computing workloads.
Google’s parent company Alphabet released two notable AI chips, including the Cloud TPU v5p.
AWS has switched its focus from cloud infrastructure to chips.
In a bid to keep pace with the growing demand for semiconductors capable of training and deploying large AI models, Intel announced its latest AI chip Gaudi 3
Cerebras Systems announced the development of Condor Galaxy 3 (CG-3), the latest addition to their AI supercomputing constellation, in 2024.
After the success of the M1 chip, Apple released the M4 chip, but it is only available in iPad Pro.
IBM unveiled the Spyre Accelerator at the Hot Chips 2024 conference.