InfoWorld

Maximizing speed: How continuous batching unlocks unprecedented LLM throughput

Think of continuous batching as the LLM world’s turbocharger — keeping GPUs busy nonstop and cranking out results up to 20x faster. I discussed how PagedAttention cracked the code on LLM memory chaos ...
Semiconductor Engineering

GPU Analysis Identifying Performance Bottlenecks That Cause Throughput Plateaus In Large-Batch Inference

A new technical paper titled “Mind the Memory Gap: Unveiling GPU Bottlenecks in Large-Batch LLM Inference” was published by researchers at Barcelona Supercomputing Center, Universitat Politecnica de ...
VentureBeat

Context compression finally works in production: new research cuts LLM input 16x without the accuracy hit

Context windows are becoming a computational bottleneck. The longer an agent runs, the more tokens accumulate from retrieved documents, reasoning traces and conversation history, and the more memory ...
Semiconductor Engineering

Heterogeneous System With Specialized HW For Disaggregated LLM Inference (Princeton Univ., Univ. of Washington)

A new technical paper titled “SPAD: Specialized Prefill and Decode Hardware for Disaggregated LLM Inference” was published by researchers at Princeton University and University of Washington. “Large ...