L1 — Base LLM Inference Core

Enterprise AI without vendor lock-in.

Open-Source Foundation Model

Llama 4 represents the open-source tier of Schema Driven AI's model portfolio. For organizations with specific deployment requirements — on-premises hosting, data sovereignty constraints, or vendor diversification strategies — Llama provides capable AI with full control over the deployment environment. It can be hosted within your infrastructure, ensuring data never leaves your control.

What Llama 4 delivers

01

Deployment Flexibility

Host on your infrastructure — on-premises, private cloud, or air-gapped environments. Full control over where your data is processed.

02

Data Sovereignty

For organizations with regulatory constraints on data location, Llama enables AI processing within jurisdictional boundaries.

03

Cost Optimization

Self-hosted deployment eliminates per-token API costs. For high-volume operations, the economics of self-hosting can be significantly favorable.

04

Customization Freedom

Open weights enable deeper customization — custom fine-tuning, specialized training, and architecture modifications when needed.

How it connects across the stack

Llama 4 works in concert with other layers in the intelligence stack — each connection amplifying the capability of both components.

Domain OverlaysPack SelectorToken I/OGovernance (Evals)

Why it matters

Maintain AI capability without vendor dependency. Llama 4 provides the self-hosted option that satisfies data sovereignty requirements, reduces vendor lock-in risk, and enables cost optimization for high-volume AI operations.

See Llama 4 in action

Discover how Llama 4 fits into your enterprise intelligence strategy.

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