Private Deployment & Post-Training
Data stays in your domain, models fit your business
Data stays in your domain, models fit your business
On-premise deployment of open models, industry fine-tuning, and full domestic-stack adaptation. Models run in your own data center or a designated isolated environment, with weights and business data always under your control.
2weeks
Fastest delivery
100%
Data residency
Level
3
Compliance level
Core capabilities
What Private Deployment & Post-Training solves
Deployment does not end when the model is copied into the server room. What determines usability is measured performance on the target chip, business results after fine-tuning, and the ability to keep it running.
On-premise open-model deployment
Enterprise deployment of Llama, Qwen, DeepSeek, ChatGLM and other open models, with model compression, quantization, and inference acceleration services.
Industry fine-tuning
SFT and RLHF post-training on your private data across finance, healthcare, legal, and manufacturing, turning a general model into a domain expert.
Domestic stack adaptation
Adapted for Ascend, Hygon, Cambricon and other domestic chips and operating systems, meeting public-sector localization requirements.
Ongoing operations
Model versioning, performance monitoring, capacity planning, and autoscaling to keep production stable over the long term.
- Domestic stack: compatible across domestic chips and operating systems
- Post-training, LoRA adaptation, and knowledge distillation
- Live in as little as 2 weeks, from environment setup to launch
Process
Four steps, live in as little as two weeks
A standard delivery process surfaces adaptation and performance risks early, instead of finding them the week before launch.
- 01
Requirements review
We map your business scenario, data scale, concurrency expectations, and compliance requirements, and agree on acceptance criteria.
- 02
Solution design
We settle the deployment architecture, model selection, compute plan, and domestic-stack adaptation path, and provide a measured benchmark.
- 03
Deployment and launch
Environment setup, model deployment, quantization, and inference tuning, followed by business integration testing and acceptance.
- 04
Ongoing operations
Monitoring, alerting, version upgrades, capacity planning, and autoscaling — self-managed by your team or operated by ours.
Deliverables
What you get is a maintainable capability, not a one-off install
At the end of the project you hold a system your team can run, not a configuration only the vendor understands.
- Reproducible deployment scripts and images, so rebuilding the environment takes no rediscovery
- A measured throughput and latency baseline on your target hardware
- A fine-tuning dataset specification with a closed evaluation loop
- Monitoring dashboards, alert rules, and an incident response plan
- Model version management with staged rollout and rollback
How to work with us
Four steps from first contact to live
A standard commercial process. Technical material and integration documentation are provided on request once we start working together.
- 01
Environment survey
Confirm chip model, operating system, network, and storage conditions, and identify domestic-stack adaptation risks.
- 02
Model selection and fine-tuning
Choose a base model by scenario, run SFT or RLHF fine-tuning on your private data, and complete effectiveness evaluation.
- 03
Inference acceleration and launch
Quantization and operator-level optimization, then staged rollout once benchmarks pass, with monitoring and alerting in place.
- 04
Handover
Deliver deployment scripts, benchmark reports, and runbooks — either as knowledge transfer or transitioning to managed operations.
FAQ
What buyers ask most
Does it run in our data center or yours?
Will performance hold up on a domestic stack?
Can you provide on-site support?
Explore the other product lines
The three business lines combine freely and share one account, one metering system, and one bill.
Data basisPerformance and cost figures on this page come from production statistics on the DengCloud platform and have been reviewed with our product and engineering teams.
Start a private deployment
Data stays in your domain, models fit your business. Contact us for a tailored plan and cost estimate.
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