Compute & infrastructure
Scale from single-server inference to multi-node clusters with GPU selection, resource pooling, container orchestration, and high availability.
Enterprise Private LLM Deployment
Turn large models into
private enterprise productivity
From compute infrastructure and model engineering to enterprise knowledge and AI applications, we deliver a secure, controlled, and future-ready private AI stack.
Full-stackFrom compute to applications
PrivateCore data stays in your domain
OpenMainstream models and local ecosystems
ControlledGovern access, audits, and cost
PRIVATE AI FABRICSTATUS · SECURE
SECURE CORELLMPrivate model core
01ComputeGPU CLUSTER
02Model hubMODEL HUB
03Enterprise dataDATA FABRIC
04AI servicesAI SERVICES
Works with your existing technology stackDeepSeekQwenLlamavLLMKubernetes昇腾海光
END-TO-END SOLUTIONOne solution for the
One solution for the
entire LLM delivery journey
This is more than model deployment. We unite compute, platforms, data, and applications into sustainable enterprise AI infrastructure.
Model engineering platform
Support leading open and commercial models with quantization, fine-tuning, evaluation, acceleration, and a unified model gateway.
Enterprise knowledge
Connect documents, databases, and business systems to create permission-aware, fully traceable enterprise RAG.
Production AI applications
Deliver embedded AI for service, knowledge work, R&D productivity, and operational analysis.
REFERENCE ARCHITECTUREA modular architecture for
A modular architecture for
every technology choice
Decoupled layers prevent vendor lock-in, enable a fast start, and support smooth scaling as your business grows.
Enterprise accessEmployees · Customers · PartnersSecurity & governanceIdentity · Access · Audit · Content safety
04AI application layer
Knowledge assistants AI service R&D Copilot Analytics Business agents
03Agent & knowledge layer
Agent orchestration RAG engine Vector search Tool use Prompt management
02Model engineering layer
Model registry Fine-tuning Evaluation Inference Unified gateway
01Compute foundation
GPU pools Containers Heterogeneous scheduling Monitoring High availability
DeploymentOn-premisesPrivate cloudHybrid cloudLocal IT ecosystem
SECURITY BY DESIGNSecurity is not an add-on.
Security is not an add-on.
It is the starting point.
Security controls are built into every layer, from infrastructure to application access, so your organization retains full data sovereignty.
Request the security checklist →Data sovereignty
Models, data, and invocation logs remain in your controlled environment
Inherited access
Integrate with your IAM and preserve organizational and document boundaries
End-to-end auditability
Audit data, models, applications, and user activity throughout the stack
Local ecosystem support
Support domestic accelerators, operating systems, databases, and middleware
DELIVERY METHODOLOGYFrom blueprint to production,
From blueprint to production,
with certainty at every step
Our proven method adapts to your environment. Dedicated architects and delivery specialists take you from value validation to scaled production.
Discovery
Define use cases, data boundaries, and security requirements
Solution design
Select models, compute, and the technical approach
Deployment
Install and configure infrastructure and platforms
Model adaptation
Connect knowledge, fine-tune, and evaluate
Integration
Integrate business systems and launch
Ongoing operations
Monitor, improve, and provide dedicated support
SHENZHEN · HONG KONG · GLOBALBased in Shenzhen, serving Hong Kong
Based in Shenzhen, serving Hong Kong
and global teams operating in China
We support companies in Shenzhen and Hong Kong, as well as multinational firms with branches or R&D teams in Shenzhen, with bilingual discovery, on-site delivery, and long-term operations.
Desktop validation
Run proof-of-concept and lightweight production workloads on NVIDIA DGX Spark, including quantized inference and enterprise knowledge validation for Qwen 35B-class models.
Department production
Scale from multi-GPU servers to departmental inference services, with capacity planning and acceptance tests based on concurrency, context length, data volume, and latency.
Enterprise clusters
Deliver private deployment, optimization, and high availability for clusters up to 16 NVIDIA H200 GPUs and large open models such as GLM-5.2.
Our team has delivered multiple enterprise private AI projects. Relevant references can be shared by industry, scale, and architecture subject to confidentiality.
PRIVATE LLM FAQWhat enterprises need to know
What enterprises need to know
before deploying private LLMs
What hardware does a private enterprise LLM require?
It depends on model size, precision, context length, concurrency, and latency targets. We size the workload first, then select the right platform from DGX Spark and multi-GPU servers to H200 clusters.
How do Shenzhen and Hong Kong companies keep data in-domain?
Models, knowledge bases, vector data, invocation logs, and access controls can remain in your data center or private cloud, with network isolation, audit, backup, and acceptance testing.
Can you integrate with WeCom, OA, and existing document systems?
Yes. We integrate through APIs, agent tools, and inherited permissions, with clear interface specifications, data boundaries, and acceptance criteria.
START YOUR PRIVATE AITurn your business needs
Turn your business needs
into production-ready AI
Tell us about your objectives, data scale, and current environment. We will map a tailored technical route and clear delivery boundaries.
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