llama.cpp: High-Performance LLM Inference on CPU and GPU
The dream of running powerful language models entirely on your own hardware, without sending data to cloud APIs, was once considered impractical …
The dream of running powerful language models entirely on your own hardware, without sending data to cloud APIs, was once considered impractical …
Running large language models locally has always been constrained by a hard wall: GPU memory. A 175-billion parameter model in FP16 requires …
Deploying large language models in production requires more than just loading weights onto a GPU. To achieve acceptable throughput and latency, …