Phoenix - Your AI AssistantDeploy a private self-hosted DeepSeek AI instance on your server
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3 days
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What you get with this Offer
Are you looking to leverage powerful LLMs like DeepSeek, but cannot risk leaking sensitive corporate data, client NDAs, or proprietary documents to public clouds?
This service provides an enterprise-grade, secure-by-design solution. I will deploy a 100% private, self-hosted DeepSeek AI environment directly on your infrastructure. Zero third-party API dependencies, zero external data collection, and absolute data compliance.
What is included in this package:
- Production-ready Docker containerized architecture deployment.
- DeepSeek-R1 / DeepSeek-V3 localized deployment tailored to your hardware performance specifications.
- Open WebUI integration providing a clean, multi-user workspace interface matching commercial alternatives.
- Localized Vector Database RAG (Retrieval-Augmented Generation) infrastructure for completely offline document analysis and semantic search.
- Hardened Linux access controls and operational guardrails to prevent internal system exposure.
Every layer of this setup is architected with a DevSecOps and defense-grade posture, moving your operations seamlessly into intelligent execution without introducing data vulnerability risks.
Get a fully functional, self-hosted alternative to public AI tools. I will configure and deploy a private DeepSeek instance paired with an enterprise-ready open-source WebUI on your private cloud or local infrastructure.
Perfect for medical, financial, legal, and operational teams operating under strict regulatory compliance frameworks. Fully offline capable after the initial deployment sequence. Includes secure RAG pipeline tools to allow immediate chat interactions with your internal PDFs, documentation, and CSV data without sending information outside your private network perimeter. Fast, high-performance infrastructure execution designed for mid-sized organizations.
This service provides an enterprise-grade, secure-by-design solution. I will deploy a 100% private, self-hosted DeepSeek AI environment directly on your infrastructure. Zero third-party API dependencies, zero external data collection, and absolute data compliance.
What is included in this package:
- Production-ready Docker containerized architecture deployment.
- DeepSeek-R1 / DeepSeek-V3 localized deployment tailored to your hardware performance specifications.
- Open WebUI integration providing a clean, multi-user workspace interface matching commercial alternatives.
- Localized Vector Database RAG (Retrieval-Augmented Generation) infrastructure for completely offline document analysis and semantic search.
- Hardened Linux access controls and operational guardrails to prevent internal system exposure.
Every layer of this setup is architected with a DevSecOps and defense-grade posture, moving your operations seamlessly into intelligent execution without introducing data vulnerability risks.
Get a fully functional, self-hosted alternative to public AI tools. I will configure and deploy a private DeepSeek instance paired with an enterprise-ready open-source WebUI on your private cloud or local infrastructure.
Perfect for medical, financial, legal, and operational teams operating under strict regulatory compliance frameworks. Fully offline capable after the initial deployment sequence. Includes secure RAG pipeline tools to allow immediate chat interactions with your internal PDFs, documentation, and CSV data without sending information outside your private network perimeter. Fast, high-performance infrastructure execution designed for mid-sized organizations.
What the Freelancer needs to start the work
To execute the deployment successfully within the 3-day window, please provide the following details:
1. Server / VPS environment details (Ubuntu 22.04 LTS or newer preferred).
2. Hardware specifications (CPU-only or NVIDIA GPU instance with VRAM details so the correct model quantizations can be matched).
3. Temporary, secure SSH credentials or access via your preferred cloud control dashboard (AWS, GCP, DigitalOcean, Hetzner, etc.).
4. If you are not sure which platform to choose , just ask me and i will choose the best for you.