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 ...
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 ...
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 ...
HotHardware

AMD Ryzen 9 7900X And 7950X CPU Review: Fantastic Zen 4 Performance Gains

Page 1: AMD Ryzen 9 7900X & 7950X Tested And Benchmarked: Zen 4 Impresses Across The Board Page 2: AMD Ryzen 9 7900X & 7950X: New Motherboards And DDR5 Memory Detailed Page 4: AMD Ryzen 9 7900X & ...
Finanznachrichten

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 ...