AI inference is the runtime computation step where trained AI models generate outputs from inputs, distinct from the training step where models are developed. Inference workload economics, latency characteristics, and infrastructure requirements differ substantially from training and have driven a substantial market for specialized inference hardware and platforms. Articles cover inference architecture, hardware selection, latency optimization, and the operational guides for teams running inference at scale.
Ollama is the open-source command-line and HTTP-API tool that became the most-adopted local LLM runtime through 2024 and 2026 by abstracting away the substantial complexity of model loading, quantization, and serving into a few simple commands. The...
