VERIFIED
CLEAN POWER
FOR AI TRAINING
AI training clusters consume 100-500 MW. Investors and regulators want proof of 24/7 CFE. DeliveryTag provides hardware-level verification at every GPU rack.
Physics matter at this scale.
A single AI training cluster can draw 100-500 MW from one 400 kV bus. That is large enough to move the marginal generator at that node.
Annual REC matching is meaningless at this scale. Investors -- ESG funds, sovereign wealth -- increasingly require verified 24/7 CFE.
Grid-Moving Load
100-500 MW from a single bus. At this scale, your consumption physically changes which generators are dispatched.
Annual RECs Are Meaningless
Matching 500 MW annually with distant wind farms is a paper exercise. The grid physics tell a different story hour by hour.
Investor Pressure
ESG funds and sovereign wealth funds increasingly require verified 24/7 CFE before committing capital to AI infrastructure.
Exponential Growth
AI compute demand doubles every 6-12 months. The energy verification gap widens with every new cluster deployment.
AI clusters as grid assets.
Interruptible Training
AI training jobs are interruptible -- checkpoint and resume. A 200 MW cluster that pauses training for 2 hours during congestion = 400 MWh of flex curtailment.
Corridor Capacity Freed
Pausing frees PTDF-weighted corridor capacity for clean energy to flow to other consumers. The cluster earns Mode B curtailment fees.
Consume verified clean energy + earn revenue by providing grid flexibility
DeliveryTag for AI infrastructure.
PIN Hardware at Busbar
IEC 62053-22 compliant metering installed at the campus busbar. Hardware-level measurement, not software estimates.
Hepta-Validation
Confirms actual power consumption patterns match declared load profiles. Seven independent validation checks per interval.
PTDF Binding
Proves the clean energy source is physically connected to the campus through the transmission network. Nodal, not zonal.
Hedera Anchoring
Immutable audit trail for ESG reporting. Every verification event is anchored on Hedera DLT with cryptographic proof.
Standard operational window. Clear corridor, direct renewable delivery verified at the busbar.
Congested hours. The cluster pauses training, earns curtailment fees, AND proves its 24/7 CFE commitment.
Who needs DeliveryTag for AI.
GPU Cloud Providers
Purpose-built AI compute providers scaling rapidly and facing ESG scrutiny.
Cloud Hyperscalers
Building custom AI silicon at massive scale with public 24/7 CFE commitments.
Sovereign AI
Nation-state AI initiatives building domestic compute with sustainability mandates.
Colocation Providers
Hosting AI workloads and needing to differentiate with verified clean energy claims.
Verify your AI campus.
Hardware-level 24/7 CFE verification for AI training infrastructure at any scale.
Sample output (modeled or pilot data)
A snapshot of what DeliveryTag returns under representative grid conditions.
- Deliverability Score
- 85–95%
- Congestion Impact
- 5–15% of hours
- Physically Verified Clean Energy
- Majority of hours
- Non-deliverable Periods
- Identified and flagged
Impact
- →Improved credibility of 24/7 CFE claims
- →Reduced exposure to non-deliverable matching
- →Potential premium on high-integrity energy contracts