The evolution of DDR5 and DDR6 represents a inflexion point in AI system architecture, delivering enhanced memory bandwidth, lower latency, and greater scalability.
Artificial intelligence has been bottlenecked less by raw compute than by how quickly models can move data in and out of memory. A new generation of memory-centric designs is starting to change that, ...
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 ...
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.
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