Everyone claims AI
power savings.
Spark-XC proves them.
When something changes how much power your GPUs draw, Spark-XC makes sure it's allowed and safe — then hands you a tamper-evident record of exactly what changed and what it saved, one your CFO, auditor, and utility can verify for themselves. Mission Control executes. Spark-XC validates.
Power is now the limit on AI — and the savings can't be proven
Buildout is gated by megawatts, not chips: interconnection queues stretch for years, utilities curtail load, and every operator is under pressure to cut power and prove it. But a power action you can't substantiate is three exposures at once — a facility budget you can't defend, an audit you can't reconstruct, and a savings number finance won't sign.
Illustrative estimate at 8,760 hrs/yr; your figures will vary. Not a Spark-XC savings guarantee — see how we measure.
Savings everyone can actually verify
Every team buying GPUs is told their power is optimized. Almost none can prove it — not to finance signing off on the savings, not to the auditor reconstructing what happened, not to the utility writing the demand-response check. The optimization happens; the evidence doesn't.
Spark-XC sits above the systems you already run — NVIDIA Mission Control, DCGM, schedulers, DCIM, BMS. Mission Control executes the power action; Spark-XC confirms it was approved, safe, auditable, and financially real, before and after it reaches hardware.
Every governed action produces a Power Event Record — a tamper-evident evidence bundle an operator, auditor, or CFO can independently replay. The claim stops being "trust us." It becomes "check it yourself."
Mission Control executes. Spark-XC validates.
AI infrastructure already runs vendor stacks that execute power actions — NVIDIA Mission Control, DCGM, schedulers, DCIM, BMS, and facility controls. Spark-XC does not replace them.
It sits above them as a governance layer: validating, authorizing, and proving each power action across GPU, workload, facility, grid, and finance — then committing a Power Event Record.
Five validation paths, one Power Event Record
Watch a power action travel from request to hardware — and see exactly where Spark-XC validates it across telemetry, workload, facility, policy, and evidence before proving it.
SET_POWER_LIMIT(350W)
submits request
through kernel
no enforcement
to PCIe bus
at this layer
power, clocks, utilization
TELEMETRY: VERIFIED
job & throughput context
UTILIZATION: MAINTAINED
rack & grid correlation
FACILITY: CORRELATED
gates evaluated
authority: confirmed
SHA-256 chain entry
PER: COMMITTED
Five validation paths. One unit of proof.
Every power action is validated across five independent paths — telemetry, workload, facility, policy, and evidence. Together they produce a single Power Event Record: the atomic unit of proof that an action was approved, safe, auditable, and financially real.
Engineered for provable power actions
Built for teams that need power actions to be safe, auditable & financially real
Every power action, provable on its own
A Power Event Record is the atomic unit of proof in Spark-XC. Every governed action emits one — a self-contained evidence bundle that answers four questions a buyer, operator, or auditor will ask: was it approved, was it safe, is it auditable, and is it financially real?
- ✓Approved — which policy authorized the action, and under what authority
- ✓Safe — the safety invariants checked and the telemetry that confirmed them
- ✓Auditable — its position in an append-only, SHA-256 tamper-evident chain, independently replayable
- ✓Financially real — the measured power delta and its cost/carbon translation, with inputs shown
See a real power action
validated and proven
We're onboarding a select group of design partners — data center operators, AI labs, energy teams, and AI infrastructure leaders. Request a replay of a real Power Event Record from hardware-validated runs.