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 ...
SDxCentral

AI inference crisis: Google engineers on why network latency and memory trump compute

Researchers propose low-latency topologies and processing-in-network as memory and interconnect bottlenecks threaten ...
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 ...
Semiconductor Engineering

Dynamic KV Cache Scheduling in Heterogeneous Memory Systems for LLM Inference (Rensselaer Polytechnic Institute, IBM)

A new technical paper titled “Accelerating LLM Inference via Dynamic KV Cache Placement in Heterogeneous Memory System” was published by researchers at Rensselaer Polytechnic Institute and IBM. “Large ...
InfoWorld

Why LLM applications need better memory management

Generative AI applications don’t need bigger memory, but smarter forgetting. When building LLM apps, start by shaping working memory. You delete a dependency. ChatGPT acknowledges it. Five responses ...
KTVZ

What is high bandwidth memory and why is the US trying to block China’s access to it?

(CNN) — The US government has imposed fresh export controls on the sale of high tech memory chips used in artificial intelligence (AI) applications to China. The rules apply to US-made high bandwidth ...
Nasdaq

Altera Starts Production Shipments of Industry’s Highest Memory Bandwidth FPGA

Agilex 7 FPGA M-Series Optimized to Reduce Memory Bottlenecks in AI and Data-intensive Applications SAN JOSE, Calif.--(BUSINESS WIRE)-- Altera Corporation, a leader in FPGA innovations, today ...