Control-plane leadership
Define how objects, policies, execution interfaces, and evidence models work together.
Spark AI DLSM
A control plane for the full AI Data Lifecycle
Spark AI is developing DLSM to connect data governance, storage control, and audit evidence in one operational plane.
DLSM control plane
AI data objects
Datasets, vector stores, models, checkpoints, and derivatives
Storage and media
Logical tiers, devices, media identities, and locations
Policy and execution
Access, protection, recovery, retention, deletion, and disposition
Evidence and responsibility
Action records, validation results, approvals, and accountability
DLSM in four minutes
Explore data tiering, transfer and disposition, alongside compliance, energy efficiency and return assessment for AIDC operations.
4 min · Mandarin audio · Chinese captions
Why this matters
AI data is growing across disconnected control domains
Training data, vector stores, models, and checkpoints span compute, object storage, archive media, and backup systems. Individual tools see only part of that chain.
Enterprises need more than policy settings. They need maintainable links between objects, outcomes, evidence, and accountable operators.
Spark AI's role
Lead the control plane and trust governance
DLSM does not replace storage, security, or data platforms. It coordinates objects, policies, device actions, and validation evidence across clear system boundaries.
Product integration
Connect Spark AI Appliance, tiered storage, knowledge services, and third-party infrastructure.
Trust governance
Embed validation, evidence structure, approvals, and ongoing review into product workflows.
Enterprise participation
Start with a bounded, verifiable pilot
Discovery and boundary mapping
Map priority AI data, interfaces, media types, and existing operating responsibilities.
Joint pilot design
Define verifiable use cases, control scope, interfaces, evidence, and exit criteria.
Device-level Pilot
Validate policy execution, outcome checks, and evidence retention in a bounded environment.
Phased deployment
Use pilot evidence to decide deployment, expansion, or further validation without assuming scale.
Commercial entry points
Assessment and pilot services
Define boundaries, interfaces, validation methods, and acceptance criteria for a specific data domain.
Software subscription and integration
After pilot validation, provide control-plane software and integration for the approved deployment scope.
External claim boundary
DLSM is presented as a product and pilot direction, not as an independently established global category. A device command, policy action, or completed pilot does not by itself prove security, compliance, or business return.
Validate DLSM in one real data domain
Begin with an enterprise pilot that has clear boundaries, measurable evidence, and exit criteria.