AI Capabilities

Local deployment of large models

Deploy models and inference services within your corporate intranet, defining clear data boundaries and account permissions. Ideal for industries with strict data flow requirements. Services include compute capacity and concurrency assessment, model selection, inference service deployment, monitoring and alerting, and version rollback.

Enterprises with sensitive data requiring data to remain within the internal networkOrganizations with GPU servers but no engineering team for operations and maintenance
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You may encounter

Business data cannot be uploaded to external services; you must forgo using the large language model.
Bought a server but don't know which model to choose or how much concurrency it can handle
Out-of-memory errors after deployment, request queuing, and no one handling version upgrades.

How we do it

  1. 01

    Compute and Concurrency Assessment

    Estimate VRAM requirements based on daily usage, peak concurrency, and request length; provide hardware recommendations.

  2. 02

    Model Selection and Validation

    Start with a smaller model to validate the workflow, then decide whether to scale up parameters based on the results.

  3. 03

    On-premises deployment and permission integration

    Deploy inference services, integrate with enterprise account systems, and define data visibility boundaries.

  4. 04

    Monitoring and Operations Handover

    Configure GPU memory monitoring, exception retry logic, audit logging, and version rollback; train internal operations staff.

Deliverables

  • Deployment Plan and Hardware Recommendations
  • Inference Service and Model Configuration
  • Monitoring Alerts and Rollback Plan
  • Operations Manual and Internal Training

Use Cases

Intranet Knowledge Base Q&ASensitive Document ProcessingR&D and Production Data SearchOffline AI Assistant

Frequently Asked Questions

It depends on the use case. Medium VRAM devices are typically sufficient for internal Q&A and document extraction. Validate the workflow on existing hardware first before deciding to scale up; this approach is more reliable than purchasing maximum capacity upfront.

Contact Shunwo Network

Wondering if local deployment is right for you?

Clearly describe your current business status and key bottlenecks. We'll assess whether this service is worth pursuing and identify the most stable starting point.

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