Sustainable compute, verified across power, water, carbon, and local capacity.
Carnet measures how AI compute consumes local electricity, grid capacity, peak load, water, cooling resources, and carbon budget. We rate sustainable compute quality, coordinate optimization through partners, and verify the resulting evidence record.
Built from a working group, not a slide-only concept.
Carnet is supported by carbon compliance automation, cloud infrastructure delivery, AI agent development, and a partner network across compute providers, data centers, and technical support teams.
The platform follows the lifecycle of a sustainable compute claim.
The claim starts with physical resource use, moves through customer or workload allocation, then becomes an optimization plan and verified rating. Carnet keeps those steps in one evidence structure.
Attribute resource use.
Map facility, cluster, workload, customer, and time-period activity to power, grid capacity, peak load, water, cooling, and carbon ledgers.
Rate sustainable compute.
Convert resource pressure, clean energy coverage, operational efficiency, allocation quality, and evidence confidence into a clear rating.
Coordinate optimization.
Use partner pathways for green electricity, EACs, behind-the-meter power, cooling upgrades, workload shaping, and cloud architecture improvements.
Verify the result.
Review source evidence, optimization records, retirement or matching status, rating changes, and the statement a buyer or verifier can accept.
Sustainable compute needs more than a carbon factor.
A data center can look low-carbon and still create local resource pressure. Carnet separates the ledgers so each decision-maker can see the account that matters to them.
Power and grid capacity
Tracks energy demand, peak draw, contracted capacity, grid constraints, and flexible-load potential.
- IT power demand and facility load profile
- Peak draw and grid congestion exposure
- Customer or workload allocation basis
Carbon and clean energy
Connects operational emissions, grid carbon intensity, clean energy contracts, EAC retirement, and hardware embodied carbon.
- Location and market-based carbon view
- Annual, monthly, or hourly matching status
- Hardware and lifecycle completeness checks
Water, cooling, and heat
Measures cooling pathway, water stress, WUE, heat reuse potential, and local environmental pressure.
- Water source and withdrawal intensity
- Cooling technology and seasonal efficiency
- Heat recovery or local discharge evidence
One method, four decision gates.
Carnet does not pretend that every stakeholder needs the same number. Grid and public-sector reviewers need local pressure data. Enterprise buyers need allocation and claim quality. Compute providers need product-level ratings. Investors need evidence that resource risk is controlled.
Singapore and Hong Kong anchor a wider delivery network.
Carnet's operating base combines local sustainable compute methodology, carbon compliance automation, cloud infrastructure delivery, and distributed technical support across key AI infrastructure markets.
Coverage follows compute demand, not office decoration.
The delivery model connects Singapore and Hong Kong program leadership with technical support coverage across the United States, Netherlands, India, Japan, and China. The goal is practical: local review, cloud delivery, and sustainable compute evidence where customers operate.
Two operating companies support Carnet's sustainable compute layer.
Carnet stays focused on sustainable compute. ClimateSeal contributes carbon and compliance AI. Funcloud contributes cloud, AI agent, compute, and infrastructure delivery. Together they provide the operating base behind Carnet's methodology.
Carnet
Sustainable compute rating, optimization coordination, and verification for AI infrastructure.
View company structureClimateSeal
AI carbon accounting workspace for product, corporate, and project carbon. Supports PCF, Scope 3, CBAM, EPD, ISO 14067, GHG Protocol, and traceable audit ledgers.
Funcloud
Multi-cloud MSP and AI compute solution provider. Supports AI agent development, GPU resource delivery, AWS architecture, global acceleration, monitoring, and cloud optimization.
Methodology assets should do the credibility work.
The site should make diligence easier. Carnet's resource library frames the methods, evidence templates, rating levels, and optimization pathways behind each sustainable compute record.
Sustainable Compute Methodology v1.0
Boundary, ledger, evidence, rating, and verification rules for sustainable AI compute.
Power, Water, and Carbon Pressure Index
A scorecard for local electricity capacity, peak load, water stress, cooling, and carbon budget exposure.
Assess a data center, compute product, or AI procurement portfolio.
Send the operating boundary, location, compute type, expected load, and the decision gate you need to satisfy. Carnet will scope a sustainable compute assessment and evidence checklist.