We're building NeuralOps 系统, our 企业 AI infrastructure platform designed around four core principles: AI Sovereignty, 安全, 效率, and 可持续发展.
At the heart of the platform is AINNA AI 智能体, developed in-house and inspired by carefully selected open-source projects from credible organizations. By building on trusted open-source foundations and extending them with our own engineering, we accelerate innovation while delivering 企业-grade AI capabilities.
NeuralOps 系统架构
🌐 Public Layer
🔒 私有 AI Layer
vLLM 服务器 behind a VPN with 无公网 IP
7 本地 LLMs for secure inference
内部 AI services isolated from direct internet access
This layered architecture ensures that only the AI 智能体 is internet-facing, while the inference infrastructure remains protected inside a private network.
Why NeuralOps 系统?
✅ AI Sovereignty
企业版 data and AI models remain fully under organizational control.
✅ Enhanced 安全
The LLM infrastructure is never directly exposed to the public internet, significantly reducing the attack surface.
✅ 高效GPU利用
智能路由 intelligently selects the most appropriate model for each request, maximizing GPU efficiency.
✅ 更低 电源 消耗
已优化 inference reduces energy usage and lowers operational costs.
✅ Better ESG Outcomes
Less hardware, lower electricity consumption, and a smaller environmental footprint contribute to more sustainable AI operations.
At NeuralOps 系统, our philosophy is simple:
• 构建 on trusted open-source foundations.
• Engineer 企业-ready AI in-house.
• Deliver secure, scalable, and sustainable AI infrastructure.
企业版 AI isn't just about deploying larger models—it's about designing the right infrastructure to balance performance, security, cost efficiency, AI sovereignty, and ESG goals.
#NeuralOps #AINNA #AgenticAI #EnterpriseAI #AIInfrastructure #LLM #vLLM #OpenSource #AISovereignty #CyberSecurity #MLOps #DevOps #PrivateAI #ESG #DigitalTransformation
