Ollama

Ollama is the premier open-source framework designed to simplify the deployment of large language models (LLMs) on local infrastructure. By wrapping high-performance backends like llama.cpp in a Go-based orchestration layer, Ollama provides a seamless, Docker-like experience for managing models such as Llama 3.x, Mistral, and DeepSeek. In the 2026 landscape, Ollama has positioned itself as the critical bridge for enterprises requiring absolute data sovereignty and air-gapped security. Its architecture supports hardware acceleration across NVIDIA (CUDA), AMD (ROCm), and Apple Silicon (Metal), ensuring that text generation tasks are executed with minimal latency. The system leverages the 'Modelfile' format—a declarative configuration tool—allowing developers to define system prompts, parameters (like temperature and top_k), and quantization levels. This makes it an essential component for RAG (Retrieval-Augmented Generation) pipelines and autonomous agentic workflows where API costs and data privacy are primary concerns. Its OpenAI-compatible API ensures that it can be dropped into existing software stacks without refactoring, solidifying its role as the industry standard for local inference.