Arteris has introduced mesh-topology support for its FlexNoC and Ncore NoC IP, catering to the growing demand from AI accelerators and many-core processors. The company’s parameterizable NoC solutions offer flexibility, performance, power efficiency, and—most importantly—scalability. continue reading

AMD paraded new data-center and PC processors at an AI-themed pep rally this week that featured partners and customers cheering the company’s advancements. Most of the products had been discussed previously but in only vague terms. continue reading

Intel’s Arrow Lake-S desktop processors improve performance and power efficiency compared with their predecessors, maintaining Intel’s solid competitive market position. The weak NPU is a branding problem, but the bigger AI problem is the technology’s weak consumer benefits. continue reading

The MediaTek Dimensity 9400 promises 28% greater multithread performance than its predecessor, and the company says its faster NPU ushers in the agentic AI era. continue reading

Executing spiking neural networks (SNNs), BrainChip’s licensable Akida NPU can be more power and area efficient than NPUs for convolutional neural networks (CNNs). However, converting a CNN to an SNN lessens Akida’s advantage and entails additional developer complexity. BrainChip, therefore, is leaning into its advantage, offering a new scaled-down Pico configuration that can operate without continue reading

SiFive has added matrix instructions to its RISC-V CPUs for AI. Targeting microcontrollers to data centers, the new cores can be used singly or replicated hundreds of times. continue reading
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