Ollama
Run Large Language Models Locally
The simplest way to run open-source LLMs on your own hardware. GPU acceleration, 100+ models, and complete privacy — all with a single command.
Click on any feature node to explore Ollama's capabilities
Core Capabilities
Model Library
- •100+ pre-built models available
- •Llama 3.3, DeepSeek-R1, Qwen3-235B
- •Mistral, Gemma 2, GLM-4 series
- •Vision models (LLaVA, Llama Vision)
- •One-command pull & run
GPU Acceleration
- •NVIDIA CUDA support
- •AMD ROCm acceleration
- •Apple Metal API
- •Multi-GPU distribution
- •Automatic hardware detection
OpenAI-Compatible API
- •Drop-in replacement endpoints
- •Chat completions API
- •Embeddings generation
- •Streaming responses
- •Works with existing tools
Memory Optimization
- •GGUF quantization format
- •Q4_K_M, FP8 for efficiency
- •75% size reduction, minimal loss
- •Partial GPU offloading
- •Run 70B+ on 16GB VRAM
Deployment Options
- •Native Mac/Linux/Windows
- •Official Docker images
- •Kubernetes ready
- •Background service mode
- •Production scaling
Developer Experience
- •Simple CLI interface
- •Modelfile customization
- •REST API access
- •Python, JavaScript SDKs
- •LangChain integration
Why We Deploy Ollama
Complete Data Privacy
Everything runs locally on your machine. Your prompts, documents, and outputs never leave your infrastructure — essential for sensitive business data.
Zero Per-Token Costs
No API fees, no rate limits, no surprise bills. Run as many queries as your hardware allows. One-time hardware investment instead of ongoing expenses.
Offline Operation
Works completely offline once models are downloaded. Perfect for air-gapped environments, remote sites, or unreliable internet connections.
Model Flexibility
Switch between models instantly. Test Llama, Mistral, and DeepSeek side-by-side. Use the right model for each task without vendor lock-in.
Easy Integration
OpenAI-compatible API means existing applications often work without changes. LangChain, CrewAI, and other frameworks integrate seamlessly.
Active Development
Regular updates with new models, performance improvements, and features. Strong community support and extensive documentation.
Popular Models
Ollama's library includes models for every use case — from quick tasks on laptops to enterprise workloads on GPUs.
Get Started in Seconds
curl -fsSL https://ollama.com/install.sh | shollama run llama3.3curl http://localhost:11434/api/generate -d '{"model":"llama3.3","prompt":"Hello"}'Ready for Local AI?
We can help you evaluate, deploy, and integrate Ollama into your organization's AI infrastructure.