Flexible AI Deployment Architectures
Every enterprise has unique AI deployment needs. Fluid AI offers multiple hosting models
to balance performance, security, and compliance—whether you need cloud scalability,
data isolation, or fully private infrastructure.
01
Fully Private Cloud Infrastructure
A completely self-hosted AI stack—no external dependencies.
✔ 100% self-contained AI environment—LLMs, vector databases, and inference engines reside entirely within your private cloud.
✔ On-prem or air-gapped deployments for organizations with strict national security and compliance mandates.
✔ Custom model hosting with zero reliance on third-party infrastructure, ensuring full control over AI workloads.
✔ Ensures total data sovereignty for industries dealing with highly sensitive or classified information.
✅ Best For: Government, defense, and large enterprises requiring full-stack AI control with zero external access.
02
Private LLM Deployment in Customer Cloud
AI processing entirely within your cloud—Fluid AI handles orchestration.
✔ Deploy the full LLM stack within your enterprise cloud (AWS, Azure, GCP).
✔ Only the control plane remains in Fluid AI’s cloud, ensuring zero exposure of sensitive data.
✔ Enterprise-grade security with private fine-tuning, retrieval, and model execution within your infrastructure.
✔ Comprehensive data governance with full control over AI access, processing, and compliance mechanisms.
✅ Best For: BFSI, telecom, and other industries requiring complete AI control within their cloud environments.
03
Cloud Infrastructure (Public Cloud)
Scalability meets simplicity—AI infrastructure managed end-to-end by Fluid AI.
✔ Fully managed AI stack deployed on Fluid AI’s secure, high-performance cloud.
✔ Dynamic LLM orchestration with real-time inference, fine-tuning, and model updates.
✔ Multi-tenant security architecture with encrypted GPT databases and isolated document storage.
✔ Ideal for organizations looking for fast AI deployment, cost efficiency, and elastic compute scaling.
✅ Best For: Startups, mid-sized businesses, and enterprises seeking quick AI adoption without infrastructure overhead.
04
Hybrid Cloud (Data Isolation Model)
Balance AI scalability with enterprise-grade data control.
✔ Your sensitive enterprise data remains in your cloud, while AI inference and processing leverage Fluid AI’s cloud compute.
✔ Decoupled architecture ensures zero raw data transfer to public cloud environments.
✔ Governance-first approach with a dedicated control plane to manage policies, compliance, and security.
✔Perfect for industries where data residency laws and regulatory compliance require strict AI processing boundaries.
✅ Best For: Financial services, healthcare, and enterprises navigating strict compliance frameworks while leveraging cloud AI.

Why Fluid AI for Enterprise AI Hosting?

✔ Enterprise-Grade Security

✔ Seamless Integration

✔ Scalable AI Workflows

✔ Zero Data Leakage

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