Authorize the work
Signed job intent, immutable workload commitments, expiry windows, and resource ceilings.
SDDT Verified Compute · verifiable compute evidence layer
Verifiable AI/GPU Compute Evidence & Settlement Safety Layer
Verification and recoverability
for AI compute.
SDDT Verified Compute is an early-stage verification and settlement-safety layer for distributed AI/GPU compute. It binds authorized work to execution evidence, recoverability, and controlled settlement.
Strategic acquisition, licensing, and integration conversations are open.
SDDT VERIFIED COMPUTE / EVIDENCE FLOW
controlled pilot record
01
AuthorizeSigned job intent
✓
02
ExecuteBounded GPU workload
✓
03
VerifyReceipt + commitments
✓
04
Document settlementRecoverability + finalization paths
✓
Job identity retained through the lifecycle
Documented replay / duplicate controls
The infrastructure gap
Capacity is easy to advertise. Useful execution is harder to prove.
Distributed AI compute introduces a trust problem at the moment a workload becomes a financial or protocol event. A marketplace can show a GPU, but that does not by itself prove that the authorized workload ran, that the result belongs to the right job, or that a failure will not settle twice.
01
Was the exact workload authorized before execution?
02
Can the provider bind its receipt to the committed job and output?
03
Can replay, duplicate settlement, and recovery paths fail closed?
The SDDT Verified Compute approach
A verification-first layer that sits beneath compute markets.
SDDT Verified Compute is designed to make the evidence chain explicit without pretending that evidence alone is a marketplace, a production deployment, or an audit.
Bind the result
Provider-signed receipts connect job identity, input/output commitments, timing, and GPU identity.
Document recovery controls
Checkpoint continuity, replay rejection, fail-closed verification, and documented finalization paths.
Separate accounting concerns
Customer payment, provider payout, and network accounting are treated as distinct concerns.
Evidence, not adjectives
What has been demonstrated so far.
The current record supports a focused pre-review conversation: internal technical/R3 validation, documented receipt/finalization and recoverability paths, and one controlled external GPU pilot. Human external review remains pending.
RUNPOD REAL GPU PILOT
REAL GPU PILOT
REAL GPU PILOT
PASS 3/3
✓ Controlled result
GPUNVIDIA RTX 4000
Ada Generation
Ada Generation
PROTOCOLSDDT-RUNPOD-
REAL-GPU-PILOT-v2
REAL-GPU-PILOT-v2
BOUNDARYControlled external
pilot only
pilot only
Endpoint deleted after test
No live-chain mutation
Evidence version
SDDT-RUNPOD-REAL-GPU-PILOT-v2
Archive integrity
bbb224696abc60f791723cf0c2055e971c6e8ba1cac4945bbf28ec70644eef1a
Secret scan
NO_SECRET_PATTERNS_FOUND
TECHNICAL STATUSInternal technical / R3 validation completed
DOCUMENTATIONReceipt, finalization, and recoverability paths documented
COMMERCIAL STATUSSale-readiness package prepared
REVIEW STATUSHuman external review pending
Evidence is preserved for review; it is not an independent human audit or certification.
Commercial positioning
The strongest near-term thesis is capability acquisition, licensing, or integration.
SDDT Verified Compute is better evaluated as an early technical asset that may shorten a strategic buyer’s path to verifiable compute than as a marketplace with established demand.
01
Verification / evidence layerBest current fit
→02
IP acquisition targetPotential transaction path
→03
Full GPU marketplaceNot the current positioning
—Who may care
01GPU infrastructure operators
Teams that need verifiable job completion and safer settlement controls.
02AI compute platforms
Marketplaces or schedulers evaluating a verification layer beneath existing supply.
03Protocol & infrastructure teams
Organizations that value recoverability, evidence, and distributed systems IP.
04Enterprise AI platform builders
Product groups exploring controlled, reviewable external compute workflows.
Claim boundaries
Conservative by design.
The page says what the evidence can support, and keeps the rest explicitly open.
✓
Supported by the current record
Early-stage verifiable AI/GPU compute evidence and settlement-safety layer; controlled external GPU pilot passed 3/3.
×
Not supported by the current record
Production-ready, mainnet-ready, buyer-ready certification, independently audited, revenue-generating, protocol reward eligible, or a token launch.
×
Still open
Final external provenance approval, customer traction, guaranteed valuation, or positioning SDDT as a full GPU marketplace.
Next validation gates
Build confidence in the order a serious buyer will ask.
01
Preserve reproducible pilot evidence
Keep signed job, receipt, commitments, device, and integrity records together.
02
Exercise recovery paths
Test checkpoint/failover continuity and preserve the resulting evidence.
03
Measure cost and latency
Record controlled performance evidence for defined workloads and verification classes.
04
Invite focused external review
Use an architecture or security review when transaction stage and budget justify it.
Demo asset
2-Minute Buyer Demo
A concise walkthrough of the problem, the SDDT approach, the current evidence record, and the boundaries that remain open. Verified evidence is labeled; human external review remains pending.
- 01Problem
- 02SDDT solution
- 03Evidence and receipts
- 04RunPod GPU pilot 3/3
- 05Claim boundaries
- 06Acquisition / licensing next step
The recording presents controlled pilot evidence only. It does not claim production readiness, mainnet readiness, or independent human review.
Open for strategic conversations
Explore the right path for SDDT Verified Compute.
Strategic acquisition, licensing, and integration discussions are open. Contact the buyer inbox below to start a conversation.
For strategic acquisition, licensing, or integration review, contact partners@sddtcompute.com.