Llama AI Integration for Self-Hosted Models

Llama is Meta's open-weight large language model family — a fit for clients who need a model they can self-host or fine-tune rather than calling a third-party API for every request.

Llama is Meta's open-weight large language model family — a fit for clients who need a model they can self-host or fine-tune rather than calling a third-party API for every request.

EZO deploys Llama for clients with data residency or cost-at-scale requirements that make a self-hosted, fine-tunable model the better fit than a hosted API call per request.

What's included

Self-hosted model deployment for data residency requirements
Fine-tuning on client-specific data for specialized tasks
Cost modeling comparing self-hosted versus API-based AI at scale

Business impact

Data that never leaves your own infrastructure, where that's a hard requirement
Lower marginal cost at high request volumes versus per-call API pricing

Frequently asked questions

Why would we self-host a model instead of just calling an API?

Mainly data residency (regulated industries, government) or very high request volumes where API costs stack up. For most clients, a hosted API is still simpler and cheaper — we'll only recommend self-hosting when the numbers or the compliance need actually support it.

Is EZO affiliated with, endorsed by, or partnered with Meta Platforms, Inc.?

No. "Llama" and its logo are trademarks of Meta Platforms, Inc. They're referenced on this page solely to describe the technologies EZO works with — this is not an official partnership, sponsorship, or endorsement by Meta Platforms, Inc.

Ready to work with EZO?

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