──── standardized Distributed compute Compact (SDCC)
Many sites. one grid asset.
Standardized. Distributed. Dispatchable.
A fleet of 10–25 MW energy and compute campuses, planned, modeled, interconnected, and operated as one system. Not a portfolio of separate projects — a single, controllable grid asset that utilities can forecast, dispatch, and scale.
Each campus pairs 10–25 MW of compute capacity with standardized onsite energy infrastructure — natural gas generation and battery storage, deployed for firming, controllability, and grid support, under dispatch the utility directs.
──── The Challenge
Traditional Data Center Models Are Breaking
Centralized data center development is increasingly constrained by power availability, permitting delays, and infrastructure limitations. Large-scale builds require massive upfront capital and long lead times—while demand for compute continues to accelerate.
This creates a growing gap between where data centers and high-compute facilities are needed and where power is actually available.
──── The i3 Approach
standardized, Distributed, and Grid-Aligned
SDCC—Standardized Distributed Compute Compact—redefines how compute capacity is planned, deployed, and operated.
Instead of forcing every requirement into a single centralized campus, SDCC aligns modular compute deployments with available power, infrastructure capacity, regional demand, and operational requirements.
Each compact operates as part of a coordinated distributed system, allowing organizations to expand compute capacity without assuming the cost, schedule, and concentration risks of a traditional centralized build.
Site Planning | Capacity Modeling | Power Simulation | Integrated Distributed Resource Plan | SDCC | DER Strategy | Grid Interactivity | Operational Planning | Site Planning | Capacity Modeling | Power Simulation | Integrated Distributed Resource Plan | MDCC | DER Strategy | Grid Interactivity | Operational Planning
──── Core Capabilities
What Makes SDCC Different
Standardized Deployment
Deploy 10–25 MW units that can scale incrementally based on demand and infrastructure readiness.
Grid-Aligned Strategy
Position infrastructure where power is available—reducing delays and unlocking faster deployment.
Distributed Architecture
Operate multiple modules across locations as a coordinated network rather than a single point of failure.
Faster Time to Market
Reduce development timelines by avoiding large-scale, centralized build constraints.
Scalable Growth Model
Expand capacity in phases without overcommitting capital upfront.
Integrated Energy Design
Align compute infrastructure with energy systems using the i3 Framework.
──── System Architecture
Designed as a Coordinated Infrastructure System
SDCC is not just modular—it’s system-driven. Each deployment is guided by the i3 Framework, ensuring alignment across planning, design, and operations.
INTELLIGENCE
Identify viable locations based on power and infrastructure
Assess grid constraints and capacity
INTEROPERABILITY
Enable coordinated operation across distributed modules
Optimize performance through data and system integration
INTEGRATION
Design modular systems aligned with energy architecture
Coordinate infrastructure, compute, and energy systems
INTEGRATION
Every SDCC deployment is built to perform as part of a larger, intelligent network.
──── Where MDCC Delivers Value
Built for Modern Compute Demands
AI & High-Performance Compute
Accelerate deployment and reduce energy uncertainty.
Edge & Regional Data Infrastructure
Coordinate load growth with infrastructure and grid realities.
Power-Constrained Markets
Improve bankability through structured energy strategy.
Phased Infrastructure Expansion
Coordinate load growth with infrastructure and grid realities.
INTEROPERABILITY
Reduced development risk
Faster deployment timelines
Improved capital efficiency
Scalable infrastructure growth
Alignment with energy system realities
──── Why MDCC
From Constraint to Opportunity
SDCC transforms limited power availability from a development obstacle into a factor that can guide a more flexible compute strategy.
By distributing deployment across qualified locations and aligning each compact with real-world infrastructure conditions, SDCC supports faster execution, lower development risk, and stronger long-term operating performance.
──── What Sets SDCC Apart
Where SDCC delivers Value
AI & High-Performance Compute
Accelerate deployment where power is the constraint, and reduce the energy uncertainty that stalls AI and
HPC buildouts.
Edge & Regional Data Infrastructure
Coordinate load growth with the infrastructure and grid conditions that actually exist in each region.
Power-Constrained Markets
Improve bankability through a structured energy strategy in markets where capacity is scarce.
Phased Infrastructure Expansion
Add capacity in governed increments, sequenced against system readiness rather than schedule pressure.
Key Points
Built on the i3 Energy Architecture Framework
Designed for Build-to-Operate outcomes
Aligned with grid and infrastructure realities
Structured around distributed compute requirements
Scalable across sites, regions, and deployment phases
Developed for coordinated, location-neutral operation
Rethink How Data Centers Are Built
Move beyond centralized constraints and deploy infrastructure that scales with real-world conditions.
.png)
.png)
