Description
Machine-learning tensor operations can use the Git version of ggml with NVIDIA CUDA acceleration. It is useful for developers and local AI tools that need GPU-backed inference or experimentation on supported NVIDIA hardware.
GPU-accelerated ML libraries depend on drivers, CUDA compatibility, and model workload. Users should expect higher power use and should test stability before relying on it for long-running jobs.