Llama open models for private AI deployment
Open-weight Llama models for private deployment, fine-tuning, and cost-controlled inference.
Grow your business with customized Llama solutions
Llama enables self-hosted inference when data residency, cost, or customization requirements rule out pure API models.
We deploy, fine-tune, and operate Llama with evaluation, monitoring, and secure infrastructure.
What Llama is — and what it is not
Clarity on scope prevents the wrong architecture and tooling choices.
Self-hosted Llama
Models run in your VPC or on-prem with your security boundaries.
Cost-controlled
Predictable inference cost at scale versus per-token API pricing.
Fine-tunable
Adapt weights for domain vocabulary and task format.
Not always best quality
We benchmark against API models before committing to self-host.
Not zero-ops
Production Llama needs GPU ops, monitoring, and model lifecycle management.
Open ecosystem
Integrate with Hugging Face, vLLM, and custom serving stacks.
Private inference at scale
GPU clusters, autoscaling, and model versioning for Llama in production.
Why partner with us for Llama?
Companies choose Aqeeq for Llama to ship production AI systems — not proof-of-concept demos that never scale.
Frequently asked questions about Llama development
Llama is used in LLM applications, agents, retrieval pipelines, and model operations — connecting AI capabilities to your product workflows with governance and monitoring.
Llama fits when it meets your latency, cost, privacy, and integration requirements. We scope pilots with evaluation harnesses before scaling to production traffic.
Yes, with the right guardrails: access control, PII handling, audit logs, human review loops, and regression testing for prompts and model outputs.
We benchmark against other models, frameworks, or hosting options using your data and success criteria — recommending what survives real load and compliance review.
Golden datasets, eval suites, cost and latency budgets, observability, and staged rollouts — with documented runbooks for your operations team.
Move forward with llama
Book a conversation — we will scope the engagement or tell you if another path is a better fit.