Industry Pain Points
• The challenge of AI infrastructure is no longer just compute itself
• Power, cooling, networking and operations are often designed in isolation
• Integration risks tend to surface only at the deployment and scale-up stages
Cooling Readiness
• Supports air-cooled, hybrid and liquid-cooling-ready designs
• Clear responsibility boundary between the rack side and the facility side
• Designed for high-power-density AI workloads
The OPTIWAVE Methodology
• A system-first AI infrastructure architecture
• Modular, repeatable and scalable from the very first design step
• Architecture logic aligned with how hyperscale data centers deploy and operate
Optical Interconnect and Network Architecture
• Vendor-neutral optical interconnect architecture
• Hyperscale-friendly network design for AI Pods
• Headroom reserved for future bandwidth and generational upgrades
What We Deliver
• AI compute integrated units
• Optical interconnect integrated units
• Intelligent power and energy storage cabinets
• Cooling-ready infrastructure
• Unified monitoring and telemetry system
Deployment and Operations
• Factory-level system integration and pre-delivery
• Significantly less on-site deployment and commissioning work
• Monitoring integrates seamlessly with existing DCIM platforms
Scaling Model
• Scale from a single rack to multi-rack AI Pods
• Consistent architecture, consistent interfaces, consistent system logic
• Scale out without redesign
Manufacturing and Ecosystem
• Manufacturing base in China with mature delivery capability
• Volume production of high-speed optical modules: 200G–1.6T
• Power and energy storage partners with industrial-grade experience
• A planned local team in the United States to stay close to customers and the ecosystem
Power and Energy Continuity
• Energy storage as a system-side energy buffer
• Improves power continuity and load stability
• Complements campus-level UPS and diesel generator systems
System Philosophy and Design Principles
• A system-first AI infrastructure methodology
• OPTIWAVE is built on a “system-first” philosophy. Every architectural decision, whether power, cooling, networking or monitoring, is made around scalability, operational clarity and long-term evolvability.
• The platform architecture closely matches how hyperscale customers think about infrastructure: modular, repeatable and easy to maintain, designed for continuous expansion rather than one-off delivery.
System Boundaries and Responsibilities
• OPTIWAVE clearly defines the delivery scope of the AI infrastructure system and the responsibility boundary of the data center or site facility.
• This clear division of responsibility reduces integration friction, shortens decision cycles, and lets customers and partners evaluate the value of OPTIWAVE systems independently of specific site conditions.
Portfolio Overview
• Modular building blocks for AI infrastructure
• The OPTIWAVE portfolio consists of rack-level modular systems that can run standalone or be combined into larger AI infrastructure architectures.
• Each module is designed as a standardized building block, enabling flexible combination and deployment while keeping the overall architecture consistent.
• Includes the AI compute integrated system, optical interconnect system, intelligent power and energy storage cabinet, modular battery cabinet and integrated micro-module.
System Composition and Scaling Model
• From single-rack deployments to AI Pod clusters
• OPTIWAVE systems scale out through repeatable system combinations rather than highly customized vertical designs. Customers can deploy a single rack, a multi-rack combination or a complete AI Pod cluster on the same architectural logic, achieving predictable scaling and simplified operations as AI workloads grow.
SKU and Capacity Matrix
• Reference configurations for planning and technical alignment
• OPTIWAVE defines clear reference SKUs and capacity ranges to simplify early planning, budgeting and technical alignment.
• These SKUs are not fixed products but structured starting points that can be adjusted in a controlled way according to compute density, cooling strategy and deployment environment.
Power Architecture
• Reliable power design for continuous AI loads
• The OPTIWAVE power architecture is designed for continuous operation and predictable load characteristics.
• By aligning with hyperscale power design principles, the system provides clear power paths, well-defined redundancy options and seamless coordination with upstream facility power infrastructure.
Energy Storage and Power Continuity
• Built-in resilience through system-level energy buffering
• Energy storage is a key component of the OPTIWAVE architecture, improving power continuity, load stability and overall operational resilience.
• OPTIWAVE does not position energy storage as a facility-level solution. Instead, it emphasizes system-side energy buffering for short-outage protection, load smoothing and controlled power transfer, complementing rather than replacing existing UPS and generator systems.
Cooling Architecture
• Thermal management strategy for high-density AI infrastructure
• OPTIWAVE supports multiple cooling options to match different AI workloads and deployment environments.
• Cooling is treated as a system-level design element. The system clearly defines the interface between rack-side cooling and facility-side heat rejection, maintaining predictable thermal performance as compute density keeps rising.
Optical Interconnect and Network Architecture
• Hyperscale-oriented, vendor-neutral interconnect design
• The OPTIWAVE optical interconnect and network architecture integrates seamlessly into modern AI network fabrics.
• With support for vendor-neutral optical modules, structured cabling and Pod-oriented network topologies, customers can keep evolving bandwidth and network architecture without rebuilding the underlying infrastructure.
Monitoring, Telemetry and Operations
• Visibility designed for system integration
• OPTIWAVE systems provide unified rack-level visibility into power, thermal conditions and system status.
• Monitoring and telemetry are designed for integration: they connect to existing hyperscaler-grade observability platforms and DCIM systems instead of introducing new operational silos.
Compliance and Standards Overview
• System design for North American deployment requirements
• OPTIWAVE systems are aligned with mainstream North American data center standards and best practices from the design stage.
• Compliance is addressed at the system level to support engineering reviews, ecosystem partner validation and project-level certification paths.
Deployment and Delivery Model
• Factory integration first, site-friendly deployment
• OPTIWAVE uses a factory-integration-first delivery model to reduce on-site construction, improve deployment predictability and shorten time to commissioning.
• This model supports phased rollouts and repeatable rapid deployment across multiple sites or regions.
Typical Application Scenarios
• Real-world AI infrastructure deployment examples
• OPTIWAVE supports a wide range of AI deployment scenarios, from edge inference to large-scale training environments.
• Concrete use cases show how the systems combine and scale, helping customers see where OPTIWAVE fits in their overall AI infrastructure strategy and the value it brings.
Example Scenarios
• Edge AI, AI training clusters, modular data centers, AI Pods
