Compute
- GPU-dense racks for training and inference
- CPU capacity for everything around the model
- Edge nodes at the point of use
In development
Small, modular data centers
Dependable compute, engineered as a unit and placed close to the businesses that use it.
The program
Data center reliability, at a fraction of the size
Not every business belongs in a hyperscale cloud. AlteGen is developing small, modular data centers that put dependable compute within reach of the businesses that need it most.
Development is underway.
| Form factor | Containerized or prefabricated enclosure, delivered and commissioned on site |
|---|---|
| Capacity | A small number of racks sized for GPU-dense workloads, expandable by adding units |
| Cooling | Liquid or rear-door cooling selected for the local climate and power budget |
| Power | Grid connection with on-site backup; site selection prioritizes available capacity |
| Location | Selected by customer demand and power availability |
Grow by adding units
Built for the workload a business actually has, with room to grow by adding units rather than overbuilding on day one.
- Unit 1Start with the capacity the workload needs
- Unit 2Add a unit as demand grows
- Unit 3Every unit consistent and tested before it arrives
Inside every unit
Four systems, one enclosure
Compute, storage, network, power and cooling, built into a single prefabricated unit and monitored rack by rack.
Illustrative. Target design, in development. Hover or tap a system to highlight it.
Storage and data
- High-speed NVMe for active workloads
- Object storage for collected data
- Backup and recovery built in
Network and security
- High-speed fabric between nodes
- Private links to sites and cloud
- Segmentation, access control, logging
Power and cooling
- Grid connection with on-site backup
- Liquid or rear-door cooling
- Monitoring of every rack and circuit
Close to the workCompute belongs near the robots, machines, and people that use it.
Advanced technology in development
A small facility that performs like a large one
The technologies AlteGen is designing around, and why each one matters for a small facility that has to perform like a large one.
Liquid cooling
Modern AI accelerators produce more heat than air can remove efficiently. Direct-to-chip liquid cooling moves coolant through cold plates on the processors themselves; immersion cooling submerges whole servers in a non-conductive fluid. Both allow far higher rack density and cut cooling energy substantially.
High-density GPU racks
A single rack can now hold the compute that filled a room a decade ago, drawing tens to over a hundred kilowatts. Designing for this density from the start — power delivery, floor loading, cooling — is what makes a small facility viable.
Accelerator interconnects
Training and large-model inference depend on how fast GPUs talk to each other. High-bandwidth fabrics such as NVLink within a server and InfiniBand or RDMA over Ethernet between servers let a handful of racks behave as one machine.
Prefabricated construction
Building the unit in a factory — structure, electrical, cooling, cabling — and delivering it complete cuts months from site construction and makes every unit consistent and tested before it arrives.
Resilient on-site power
Grid connection backed by battery storage and, where practical, on-site generation. Batteries also allow a facility to draw less from the grid at peak hours, reducing both cost and the size of the connection needed.
Edge inference
Running trained models on compact hardware at the point of use — a factory line, a fleet of robots, a clinic — so decisions are made in milliseconds without depending on a distant data center.
Confidential computing
Hardware-based isolation that keeps data encrypted even while it is being processed, so sensitive workloads can run with cryptographic assurance that no one, including the operator, can read them.
Intelligent facility operations
Sensors on every rack, circuit, and cooling loop feed monitoring software that predicts failures, balances load, and tunes cooling in real time — the same kind of automation the hyperscalers use, scaled down to a few racks.
Questions
Modular data centers, explained
What is a modular data center?
A small facility built from standardized, prefabricated units — each with its own compute, power, cooling, and network — that can be delivered to a site and expanded by adding units. It provides data center reliability at a fraction of the size of a hyperscale campus.
Why small, and why close to the business?
Most businesses do not need thousands of racks; they need a few, working reliably, near the machines and people that depend on them. Proximity removes latency, keeps sensitive data on the premises, and keeps operations running when the wide-area connection does not.
Who is AlteGen building this for?
Businesses that run AI in the physical world: robotics companies, manufacturers, logistics operators, healthcare and research institutions, and technology companies moving from prototype to production.
Where is AlteGen based?
Milpitas, California, in the heart of Silicon Valley.
How can I follow the development or get involved?
Leave your details through the contact form. Partners, suppliers, and businesses interested in the program are welcome to reach out.