MemRL outperforms RAG on complex agent benchmarks without fine-tuning

MemRL separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning ...
Yahoo Finance

Software-Defined Memory (SDM) Pioneer Kove Announces Benchmarks Showing 5x Larger AI Inference Workloads on Redis & Valkey, With Lower Latency Than Local Memory

While GPUs and CPUs continue to scale, traditional DRAM remains fixed, fragmented, and underutilized — stalling inference workloads, creating unnecessary and repetitive GPU processing, and driving up ...

DeepSeek’s conditional memory fixes silent LLM waste: GPU cycles lost to static lookups

Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...
Semiconductor Engineering

Pooling CPU Memory for LLM Inference With Lower Latency and Higher Throughput (UC Berkeley)

“The rapid growth of LLMs has revolutionized natural language processing and AI analysis, but their increasing size and memory demands present significant challenges. A common solution is to spill ...
The FPS Review on MSN

XMP Tweaked Memory Profiles Can Boost Gaming Performance by up to 16% and Reduce Latency by up to 27% for Intel Core Ultra Series 2 Users, ASUS Says

(PR) (Eric Born, ASUS Edge Up) Generations of gamers have trusted Intel processors for their PCs, yet the current CPU market has many wondering if the grass is greener on the AMD side of the fence. We ...
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Software-Defined Memory (SDM) Pioneer Kove Announces Benchmarks Showing 5x Larger AI Inference Workloads on Redis & Valkey, With Lower Latency Than Local Memory

CHICAGO, Sept. 9, 2025 /PRNewswire/ -- Kove, creator of software-defined memory Kove:SDM, today announced benchmark results proving that Redis and Valkey - two of the most widely used engines in AI ...