Why Can Your Laptop Run LLaMA? A Deep Dive into Quantization
How 4–8x compression and Hessian-guided GPTQ make 70B-scale models practical on modest hardware—what INT8/INT4 really cost, and when accuracy holds.
How 4–8x compression and Hessian-guided GPTQ make 70B-scale models practical on modest hardware—what INT8/INT4 really cost, and when accuracy holds.
Flash Attention, a memory-efficient attention mechanism for transformers.
A deep dive into NVIDIA’s H100 architecture and the monitoring techniques required for production-grade LLM inference optimization.
How LMCache Turns KV Cache into Composable LEGO Blocks