Private Deployment
For organizations with strict data residency, compliance, or security requirements, LW AI offers private deployment options. Run our models on your own infrastructure while maintaining full API compatibility.
Deployment Options
| Option | Description | Best For |
|---|
| On-Premise | Deploy on your own servers | Maximum control, air-gapped environments |
| VPC | Deploy in your cloud VPC | Cloud-native with network isolation |
| Dedicated Cloud | LW AI-managed dedicated instances | Managed service with isolation |
Supported Models for Private Deployment
| Model | On-Premise | VPC | Dedicated Cloud |
|---|
| deepseek/deepseek-v4-pro | ✓ | ✓ | ✓ |
| deepseek/deepseek-v4-flash | ✓ | ✓ | ✓ |
| glm-5.1 | ✓ | ✓ | ✓ |
| glm-5.2 | ✓ | ✓ | ✓ |
| fusion | — | ✓ | ✓ |
| astra | ✓ | ✓ | ✓ |
Key Features
- Same API — OpenAI-compatible interface, no code changes needed
- Data sovereignty — All data stays within your infrastructure
- Network isolation — No external API calls required
- Custom SLA — Up to 99.99% uptime guarantee
- Dedicated support — Priority engineering support
Requirements
On-Premise
| Requirement | Minimum | Recommended |
|---|
| GPU | 8x A100 80GB | 8x H100 80GB |
| RAM | 256GB | 512GB |
| Storage | 2TB NVMe | 4TB NVMe |
| Network | 10Gbps | 25Gbps |
VPC
- AWS, Aliyun, or Huawei Cloud
- GPU instances (P4d/P5 on AWS, ecs.gn7 on Aliyun)
- VPC peering or private link connectivity
Getting Started
- Contact enterprise sales with your requirements
- Our team will design a deployment plan
- Sign agreement and schedule deployment
- We deploy and configure the infrastructure
- Your team validates with test workloads
- Production go-live with dedicated support