GPU-powered Containers

Running large language models (LLMs) efficiently inside containers almost always requires GPU support. While some smaller models can run on CPUs, performance is usually too slow for production use, especially with real-time inference or training. GPUs (often with CUDA support) dramatically speed up matrix operations that LLMs depend on.