Industrial News

Enterprise Private AI & Local LLM Deployment: Build Self‑Controllable Intelligent Infrastructure

As artificial intelligence empowers industrial digital transformation, general cloud LLMs are increasingly unable to meet enterprise core demands. Public cloud AI services face inherent limitations including data leakage risks, compliance uncertainties, network dependency, and insufficient business customization. For government, finance, manufacturing, healthcare and other sensitive industries, private AI deployment and local large language model implementation have become the standard solution for secure, stable and controllable intelligent upgrading.

True Private Deployment: Full Intranet Data Closed Loop

Different from traditional cloud API calls, our solution realizes full‑process local AI operation. All procedures including model inference, knowledge base retrieval, business calculation and data storage run completely within the enterprise intranet. Core business data, confidential documents, industrial parameters and user privacy information never leave the private network. We eliminate external data transmission risks at the architectural level, fully complying with industry compliance and data security governance requirements, and enabling comprehensive traceability and auditability of all AI behaviors.

Full‑Gradient LLM Adaptation: From Lightweight Scenarios to Large‑Scale Enterprise Clusters

We support the full gradient deployment of local LLMs to match diverse business scenarios. Lightweight 7B/14B models adapt to daily office intelligence, document parsing and customer service; 34B/70B dense models support professional data analysis, intelligent judgment and enterprise knowledge Q&A; ultra‑large 700B dense model cluster deployment is available for high‑end scenarios such as scientific research, massive data deduction and in‑depth business analysis.

Equipped with advanced unified memory architecture and distributed tensor parallel computing technology, our solution solves common pain points such as insufficient VRAM, inference stuttering and long context failure, delivering low‑latency, high‑stability and high‑concurrency local inference performance without cloud network fluctuation and API throttling.

One‑Stop Customized Solution, Low‑Threshold AI Implementation

We provide full‑lifecycle professional services including hardware selection, cluster construction, model quantization optimization, private deployment, fine‑tuning, operation & maintenance monitoring and system API docking. Flexible solutions adapt to lightweight demands of SMEs and supercomputing‑level needs of large enterprises and groups.

Supporting RAG private knowledge base construction, multi‑tenant permission management and full‑process log auditing, our local AI system can be seamlessly connected with enterprise OA, CRM and business middle platforms, empowering intelligent office, risk control, knowledge management and automated business decision‑making efficiently.

Independent, Compliant and Long‑Term Intelligent Empowerment

The core value of enterprise AI lies in autonomy and security. Local private LLM deployment helps enterprises get rid of reliance on third‑party cloud platforms, reduce long‑term service costs, and build a self‑controllable, iterable and dedicated AI infrastructure. It provides solid, compliant and sustainable technical support for enterprise digital transformation and business innovation.