SwiftMDC Megawatts of AI compute,
no data center build needed
Racks, power distribution, liquid cooling, monitoring and fire protection are integrated and tested in the factory, shipped to site as complete containers and put into service once power and cooling are connected.
Megawatt-scale AI infrastructure,
delivered as one system
More than a box: each SwiftMDC integrates compute, networking, liquid cooling, power distribution and monitoring into one deployable system, available as an infrastructure-only edition or fully integrated with servers.
Three configurations
| Configuration | Enclosure | Total power | GPU count | Cooling | Density per rack | Typical use |
|---|---|---|---|---|---|---|
| AI-Edge Edge inference | 20 ft ISO container | 80–200 kW | 8–16 | Air-cooled, liquid optional | up to 30 kW | Edge inference, smart manufacturing, 5G edge |
| AI-Core Training and fine-tuning | 40 ft ISO high-cube | 300–600 kW | 32–64 | Cold-plate liquid cooling, integrated CDU | up to 100 kW | LLM training, fine-tuning, university research |
| AI-Flex Hyperscale clusters | 4 to 20+ interconnected 40 ft modules | 2–20 MW | 256–2,048+ | Central liquid cooling with distributed CDUs, immersion optional | up to 120 kW | Large-scale training, AI cloud services, AI data centers |
Designed for megawatt loads
Reference specification for one POD, assuming 8-GPU B300 servers.
From one container to a cluster
Single container
One AI-Edge or AI-Core container
1 POD
Two compute units, 1,024 GPUs
3 PODs
8 MW reference design, 3,072 GPUs
AI-Flex cluster
4 to 20+ interconnected modules
Scope of delivery
You provide the site; SINOWISE delivers the compute infrastructure as one system. Final configuration, site interfaces and the deployment plan are fixed at design review, before anything ships.
You provide
- Footprint and maintenance space
- Access for transport and lifting
- Utility power connection
- Network connection
- Local permits and external services
SINOWISE delivers
- Containers, liquid-cooled racks and modular compute units
- Power distribution, cooling plant and coolant piping
- Prefabrication, on-site assembly and system testing
- Central monitoring and digital twin
- Maintenance and expansion support
You get
- Compute ready for service
- Training, fine-tuning and inference
- Keep adding PODs
Set per project: workloads and equipment, site, power and climate, reliability targets and operations needs, scope boundaries and phasing.
One container, week by week
Sample schedule, counted from when the site and power are ready.
Based on the 8–12 week target for a single container; final schedules are set in the project contract.