Tag: structured sparsity

Combining pruning and quantization cuts LLM inference time by up to 6x while preserving accuracy. Learn how HWPQ's unified approach with FP8 and 2:4 sparsity delivers real-world speedups without hardware changes.

Recent-posts

Containerizing Large Language Models: CUDA, Drivers, and Image Optimization

Containerizing Large Language Models: CUDA, Drivers, and Image Optimization

Jan, 25 2026

How Large Language Models Capture Semantics and Syntax through Self-Supervision

How Large Language Models Capture Semantics and Syntax through Self-Supervision

May, 12 2026

Curriculum and Data Mixtures: Accelerating LLM Scaling in 2026

Curriculum and Data Mixtures: Accelerating LLM Scaling in 2026

May, 31 2026

Transformer Architecture Explained: How LLMs Process Language

Transformer Architecture Explained: How LLMs Process Language

Jul, 12 2026

Testing and Monitoring RAG Pipelines: Synthetic Queries and Real Traffic

Testing and Monitoring RAG Pipelines: Synthetic Queries and Real Traffic

Aug, 12 2025