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 ...
XDA Developers on MSN

Most people use Ollama or Llama.cpp for local LLMs, but these are the tools I switch to when it gets serious

There's a whole world of tools to launch local LLMs out there, and these are some of the best.
EDN

The hidden bottleneck in LLM inference and the impact on MLPerf benchmarking

Recent frontier LLM inference benchmarks have highlighted a recurring pattern. GPU-based systems deliver outstanding ...
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 ...
TechRepublic

NVIDIA Boosts LLM Inference Performance With New TensorRT-LLM Software Library

TensorRT-LLM provides 8x higher performance for AI inferencing on NVIDIA hardware. As companies like d-Matrix squeeze into the lucrative artificial intelligence market with coveted inferencing ...