#KV cache

Large Language Models

Red Hat's llm-d Splits LLM Inference in Two — And IBM Fusion HCI Makes It Stick

Everyone figured LLM serving would just scale by throwing more GPUs at monoliths. Red Hat's llm-d on IBM Fusion HCI flips that script, splitting inference brains for real enterprise muscle.

AI Hardware

Google's TurboQuant Folds AI Memory Like Origami—10x Smaller, Zero Brain Drain

Imagine feeding an AI your entire life's work—books, emails, code—and it recalls every detail without gasping for RAM. Google's TurboQuant just made that dream 10x cheaper.

AI Hardware

LLM Inference Unmasked: Prefill's Parallel Power and KV Cache's Clever Hack

Everyone figured LLMs recompute your whole prompt for every word. Wrong. Prefill and KV cache flip that script, slashing compute while scaling to novels.

AI Hardware

75GB Wasted on 100 Users: Paged Attention's Brutal Fix for LLM Memory Hogging

100 concurrent chatbot requests. 75 gigabytes of GPU memory—gone, wasted. Paged Attention torches that nonsense.

AI Hardware

KV Caches: The Secret Sauce Making AI Chat Snappier Without Breaking the Bank

Next time your AI assistant spits out a reply in seconds, thank the KV cache—it's quietly revolutionizing how we run massive language models without melting servers. But at what memory cost?