Google researchers have revealed that memory and interconnect are the primary bottlenecks for LLM inference, not compute power, as memory bandwidth lags 4.7x behind.
Content Addressable Memory (CAM) is an advanced memory architecture that performs parallel search operations by comparing input data against all stored entries simultaneously, rather than accessing ...
New research reveals a compelling link between physical activity and improved memory function. Findings published in the International Journal of Behavioral Nutrition and Physical Activity indicate ...
TL;DR: Micron is sampling its new 192GB SOCAMM2 memory module, featuring advanced 1-gamma DRAM technology for over 20% improved power efficiency. Designed for AI data centers, SOCAMM2 offers high ...
TL;DR: The NVIDIA GeForce RTX 5080 is expected to feature 16GB GDDR7 memory, offering up to 960GB/sec bandwidth and 400W power consumption. It promises significant performance improvements, especially ...
Ferroelectric quantum dots enable phototransistors that adapt to low light and store visual memory, supporting motion recognition and in-sensor learning in neuromorphic systems. (Nanowerk Spotlight) ...
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