CUDA Toolkit vs NVIDIA Driver Explained
Understand what the host driver, CUDA toolkit, runtime libraries, and framework packages each do.
Hostnot GPU engineering
GPU, AI, and infrastructure guides
Practical notes for choosing hardware, connecting safely, and building dependable AI workloads. Every guide reflects what the platform actually does today.
Showing 1–4 of 4 published articles
vLLM Installation and First Deployment
Prepare a GPU environment, install a compatible vLLM release, serve a documented model, and verify the API without exposing credentials.
Installing PyTorch with CUDA on a GPU Instance
Install PyTorch from the official selector, verify the driver and CUDA runtime, and diagnose common import and device errors.
Docker GPU Setup: NVIDIA Container Runtime
Install and verify GPU access in Docker while keeping host drivers, images, permissions, and secrets under control.