LUMA co-designs the machine and the AI service around each other. On the machine side, PEX proves the minimum physical resources required for the accepted service. On the software side, model/runtime adaptation extracts more useful intelligence from the machine you already have. The engagement begins by freezing that service and the physical or economic decision that matters.
Every engagement uses the same accepted-service contract and evidence rule. The difference is whether we are qualifying the boundary, operating inside a library of qualified software/hardware states, or opening deeper hardware design-in after a recurring physical deficit is proven.
Freeze the accepted service. PEX finds minimum PASS, adjacent FAIL and the binding resource. We then test the highest-value software/runtime or hardware intervention and return the qualified resource boundary.
OUTPUTAccepted-service contract · Resource Boundary Report · baseline vs intervention evidence · deploy / hold / expand recommendationConnect live workload and power evidence to a library of already qualified software + hardware states. LUMA selects, applies, verifies and retains or rolls back the state that produces the strongest accepted customer value.
OUTPUTQualified-state control · savings telemetry · service verification · rollback authority · operating envelopeWhen a physical deficit remains material across qualified states and software adaptation cannot economically remove it, translate that recurring resource constraint into an FPGA, accelerator, memory-side block or semiconductor design target.
OUTPUTQualified resource boundary · design target · implementation campaign · physical evidence · productization handoffModels and simulators narrow the search. PEX physically qualifies decision-changing states. LUMA accumulates the results and keeps only interventions that preserve the accepted service and create enough physical/economic value.
Find the least compute, memory, movement, interconnect and power needed for the accepted service.
Adapt quantization, batching, KV policy, context, placement, scheduling, retrieval, speculative execution, compression or other runtime choices to get more from the available machine.
Software changes alter the physical requirement; hardware changes alter the best software configuration. PEX tests the new boundary rather than assuming the saving.