The Quantization Horizon: Navigating the Transition to INT4, FP4, and Sub-2-Bit Architectures in Large Language Models

1. Executive Summary The computational trajectory of Large Language Models (LLMs) has reached a critical inflection point in the 2024-2025 timeframe. For nearly a decade, the industry operated under a Read More …

KV-Cache Optimization: Efficient Memory Management for Long Sequences

Executive Summary The widespread adoption of large language models (LLMs) has brought a critical challenge to the forefront of inference engineering: managing the Key-Value (KV) cache. While the KV cache Read More …