PagedAttention Explained: How It Solves GPU Memory Problems in Large Language Models
As Large Language Models (LLMs) continue to grow in size and capability, serving them efficiently has become one of the biggest challenges in AI infrastructure. Models like Llama, DeepSeek, GPT-style architectures, and other transformer-based systems require significant GPU memory during inference, especially when handling long conversations or multiple users simultaneously. Introduction One of the largest […]