Distributed Infrastructure for Private & Local AI.
Ocean Falls is developing MicroNode — managed AI inference infrastructure designed to bring private AI closer to businesses, communities and existing power resources.
AI training requires enormous centralized infrastructure. Much of inference does not.
Enterprise AI Platform
Ocean Falls MicroNode
Private AI infrastructure without needing to build an AI infrastructure team.
MicroNode is being developed as a standardized, managed GPU infrastructure platform for private enterprise AI. Customers would own or lease the underlying hardware while Ocean Falls provides the software and management layer for model deployment, monitoring, updates, APIs, security and workload management.
B2B Private Enterprise Focus
Built for organizations requiring complete data sovereignty, predictable operational latency, and dedicated on-premise compute without public cloud exposure.
Target Workloads
Enterprise Inference Capabilities
Internal Knowledge & RAG
Secure retrieval-augmented generation and search across proprietary corporate repositories without third-party data leakage.
Document Processing & Analysis
Automated parsing, extraction, and synthesis for confidential corporate documents, contracts, and filings.
Insurance & Risk Workflows
Underwriting analytics, claims verification, and automated policy evaluations processed directly within internal infrastructure.
Enterprise AI Agents
Dedicated internal agents executing complex, multi-step operational workflows and system orchestrations securely.
Coding & Software Inference
Air-gapped code generation, syntax validation, and repository-specific code assistance for engineering teams.
Voice, Vision & Proprietary Models
Local audio transcription, computer vision inference, and customized business models tailored to specialized workflows.
Open Model Ecosystem
Deploy leading open models privately.
MicroNode is being designed to support leading open models available through ecosystems such as Hugging Face. Ocean Falls intends to simplify model selection, validation and deployment so organizations can run appropriate AI models on infrastructure under their control.
SELECT
Choose compatible models validated for specific enterprise workloads.
DEPLOY
Ocean Falls manages model deployment, configuration and updates to the MicroNode.
RUN PRIVATELY
Inference runs on customer-controlled infrastructure, allowing sensitive business workloads to remain within the customer's chosen environment.
Architecture & Vision
MicroNode → MicroCluster → Ocean Falls Grid
A structured progression from standalone enterprise inference to aggregated community capacity and coordinated distributed software layers.
MicroNode
Private & Local AI
Private/local AI infrastructure deployed at individual organizations or smaller locations. Designed to run enterprise inference workloads directly behind client firewalls on customer- or partner-owned hardware.
MicroCluster
Aggregated Local Capacity
Multiple GPUs or MicroNodes providing greater capacity at businesses, communities or smaller power sites. Supports shared local infrastructure, higher concurrency, and heavier inference demands.
Ocean Falls Grid
Software & Orchestration Layer
As deployments grow, Ocean Falls intends to explore connecting eligible MicroNodes and MicroClusters through the Ocean Falls Grid. The Grid could allow inference workloads to be routed according to factors such as capacity, geography, data residency, security requirements, latency and cost.
Site Viability
Could Your Property Support AI Infrastructure?
Instead of always bringing enormous amounts of new power to AI, distributed inference can bring AI infrastructure to smaller amounts of power that already exist. Ocean Falls evaluates prospective properties across power, connectivity, development, community and infrastructure factors to identify locations where available resources can support appropriately sized AI compute capacity—from localized MicroClusters to regional facilities.
About
Operating
Experience.
Real-World Risk Management.
Ocean Falls spent years operating power-intensive computing infrastructure in British Columbia. That hands-on experience exposed us directly to the complex realities of power availability, grid constraints, utility coordination, municipal and community relations, insurance placement, and project financing. Today, we apply those hard-won lessons to help partners identify, evaluate, and mitigate risks across the AI infrastructure lifecycle—supporting deployments ranging from individual enterprise MicroNodes to community MicroClusters and regional power sites.
Capabilities
Supporting Distributed AI Deployments.
AI & Compute Site Evaluation
Ocean Falls identifies and evaluates prospective sites for AI compute capacity—from small-footprint MicroClusters to regional infrastructure—with a focus on power availability, connectivity, development feasibility, stakeholder considerations, and project risk.
Community & Stakeholder Alignment
Assessing local community dynamics up front to prevent pushback and ensure long-term stability.
Specialized AI Risk Placement
Accessing specialized insurance coverage tailored to high-density compute, power interruption, and technology-specific liabilities.
AI Infrastructure Captive Program
Purpose-built captive insurance structures designed to lower total cost of risk for data center operators. Currently accepting founding members for the pilot program.
Project Obstacles
Why AI Infrastructure Projects Stall
Developing large-scale AI infrastructure requires aligning capital, utilities, and communities. Projects rarely fail due to computing technology itself; they stall due to overlooked external risks.
Ocean Falls helps partners identify and evaluate these critical bottlenecks before significant capital is committed.
Power & Site Selection
Sub-10 MW BC Hydro Fast-Track
Unrealistic power availability timelines and site selection errors. In British Columbia, projects requesting 10 MW or more are pushed into BC Hydro’s oversubscribed competitive Call for Demand. Sub-10 MW brownfield deployments and behind-the-meter MicroNodes stay on the standard interconnection path — the fastest compliant route to energization.
Community Friction
Unexpected local community or political friction.
Insurance Barriers
Inadequate traditional insurance coverage for novel AI hardware and operational risks.
The Inference Opportunity
The Shift to Distributed Inference
AI training requires enormous centralized infrastructure. Much of inference does not.
As AI moves from model development into widespread production use, inference is becoming an increasingly important share of AI compute demand. Inference can run closer to the businesses, users and data that use it.
Centralized Constraints
Large centralized data centres remain essential for AI training and foundational model development.
However, large centralized facilities face massive grid backlogs, lengthy interconnect queues, and unrated regional risks, while organizations face privacy, latency, and data residency constraints when relying entirely on distant cloud centres.
The Distributed Solution
Instead of always bringing enormous amounts of new power to AI, distributed inference can bring AI infrastructure to smaller amounts of power that already exist.
Ocean Falls is developing MicroNode to provide standardized, managed GPU infrastructure at enterprise premises and smaller power sites—designed to streamline deployment and reduce infrastructure complexity.
In British Columbia that also means staying under BC Hydro’s 10 MW threshold. Loads of 10 MW or more enter the rationed, oversubscribed Call for Demand queue. Sub-10 MW brownfield MicroClusters and behind-the-meter MicroNodes remain eligible for the standard interconnection process — the fastest compliant path to energization.
Market Intelligence
Market Signals & Infrastructure Briefings
Grid constraints, community pushback, sovereign AI rules, and insurance capacity barriers are validating distributed, sub-10 MW infrastructure. These briefings track the evidence behind that shift ? published as our weekly newsletter at MegawattWeekly.com, where you can view all issues or subscribe to receive dispatches by email.
Updated: —
The Night-Shift Advantage: Zero-Cost Compute
Enterprise AI workloads peak during business hours and sit idle overnight. MicroNode can automatically federate unallocated GPU hours onto vetted secondary compute networks—generating baseline revenue while prioritizing your private internal workloads the moment your team logs on.
Projected Monthly Yield
USD Gross Secondary Market Offset
Daily Gross
$89.60 / day
Federated Fleet
16 GPUs
Federating idle capacity on global compute networks offsets local hardware and power costs, transforming your MicroNode from an IT expense into an active revenue asset.
Our Approach
A Capital-Efficient Approach to Distributed AI.
Rather than financing large centralized GPU facilities, the MicroNode model is designed around customer- and partner-owned or leased infrastructure, allowing Ocean Falls to focus capital on software, orchestration and management.
We combine this software layer with deep domain capabilities in power-intensive computing, power infrastructure, site evaluation, and specialized risk management—identifying bottlenecks, coordinating technical expertise, supporting insurance placement, and assisting project execution across distributed sites.
Risk Finance
Insurance-Led Advisory.
Securing commercial insurance for AI computing infrastructure is one of the most significant hurdles developers and operators face today. Underwriting these highly specialized, capital-intensive projects requires a deep understanding of technical, operational, and financial risk profiles.
By translating complex physical infrastructure risks—such as power availability, grid capacity, and operational site conditions—into profiles that underwriters trust, Ocean Falls establishes a credible foundation for risk transfer. This capability serves as our starting point, supporting deployments from localized MicroClusters to regional AI infrastructure.
Captive Insurance Exploration
To address capacity constraints in traditional commercial markets, Ocean Falls is actively working with industry participants to explore a specialized captive insurance program designed specifically for AI infrastructure. By aggregating risk and intelligence across projects, we aim to structure dedicated risk-finance vehicles that help developers move forward with confidence.
*Insurance advisory, placement, and brokerage services are provided by Ocean Falls Insurance Services Limited.
Contact
Corporate Inquiries
For strategic partners, institutional contacts, and corporate matters.
Corporate Contact
For corporate, legal, and regulatory matters.
General Inquiries
For all other questions and correspondence.