Configuration as Code
Define your entire AI infrastructure in simple YAML files. Version control your models, prompts, and deployment configurations. No more scattered scripts or manual setups.
True Model Portability
Switch between Llama, GPT-4, Claude, or any model with a single config change. Run locally for development, deploy to cloud for production. Your choice, your control.
Privacy by Default
Keep your data where it belongs - with you. Run models locally, process sensitive data on-premises, and only use cloud when you choose to. Complete data sovereignty.
Why LlamaFarm?
🏠 Local First
Run AI models locally on your hardware. No cloud dependency, no data leaving your infrastructure. Complete privacy and control.
🌍 Deploy Anywhere
One configuration, multiple destinations. Deploy to AWS, Azure, GCP, on-premises, or edge devices without changing your code.
🔧 Config-Based
Define your entire AI pipeline in simple YAML. No complex code, just declarative configurations that anyone can understand.
🤖 Any Model
Works with Llama, GPT, Claude, Mistral, and more. Switch models with a single config change. No vendor lock-in.
Simple as YAML
# llamafarm.yaml
models:
- name: local-llama
type: llama2
path: ./models/llama-2-7b
- name: cloud-gpt
type: openai
api_key: $OPENAI_KEY
pipeline:
- input: user_query
- model: local-llama
fallback: cloud-gpt
- output: response
deploy:
targets:
- local: true
- aws:
region: us-east-1
- edge:
devices: ["rpi-cluster"]