Compact AI Servers
Compact server directions for space-constrained, fast-deployment and on-site computing needs.
Compact AI Servers
& GPU Compute
Compact AI compute products and deployment services for edge inference, industrial vision, R&D validation and on-site computing.
AI Computing
Define the workload first, then configure the compute
This page presents product and service categories first. Specific CPU, GPU, memory, storage, power and chassis models will be published once official product documentation is available.
GPU Compute Products
GPU configurations selected around inference, graphics, simulation and data processing workloads.
Edge Computing Deployment
Low-latency computing at the device side, workshop side and local machine room.
Application FirstSubmit compute requirements
Compact compute for industrial sites
The value of compact servers and edge devices goes beyond hardware specifications — it depends on how well they fit the site's space, power, cooling, network and workload.
Industrial vision and image processing
Local AI inference and model validation
Equipment data processing and edge applications
Configuration
What to confirm before configuration
Don't select by graphics card model alone — determine the full system configuration from the workload and deployment conditions.
| Requirement | Information to provide | Configuration impact |
|---|---|---|
| Workload | Inference, training, graphics, simulation or data processing | GPU type, memory and software environment |
| Models & concurrency | Model size, precision, concurrency and latency targets | Compute, memory and expansion needs |
| Deployment location | Desktop, rack, edge site or inside equipment | Dimensions, noise, protection and cooling |
| Data & network | Data volume, retention period and network interfaces | Storage, network cards and optical interconnect configuration |
| Power & environment | Power conditions, temperature and continuous operating hours | Power supply, airflow and reliability design |
Delivery
Our AI product delivery boundaries
This first version uses no unconfirmed GPU brands, product models or performance figures; authorizations and specifications will be verified item by item before official release.
Workload Review
Confirm task types, model size, concurrency and latency.
Hardware Configuration
Select the GPU, CPU, memory, storage and networking combination.
Environment Adaptation
Check space, power, cooling and operating conditions.
Deployment Support
Provide installation, environment preparation and operational assistance.