EXPERIMENTAL / UNDER BENCHMARK VALIDATION

TiEE Validation Status

This page separates the TiEE specification from implementation status, modeled outcomes, benchmark targets, and independently verified results. It is intended to make the evidence boundary explicit as the architecture moves from concept to reproducible engineering validation.

Current Evidence Ledger

CLAIM / COMPONENT	STATUS	INTERPRETATION
Edge filtration architecture	DEFINED	Part of the TiEE architectural specification.
EV scoring model	DEFINED / TO BE TESTED	Decision logic is specified; workload validity and calibration require testing.
Asynchronous broker pipeline	IMPLEMENTATION IN PROGRESS	Architecture calls for Kafka/Redis-style decoupling; production evidence is not yet claimed here.
Throughput improvement	UNVERIFIED	Requires apples-to-apples benchmark results with workload, hardware, configuration, and raw outputs published.
20× / 2,000% throughput figure	HYPOTHESIS / BENCHMARK TARGET	Derived from an illustrative concurrency/latency model, not an independently verified production result.
99.4% GPU utilization	HYPOTHESIS / BENCHMARK TARGET	Target to test under a defined accelerator workload and measurement methodology.
36.8% compute reclamation	MODELED / HYPOTHESIS	Result of a simplified filtration-efficiency model; real outcomes depend on workload composition and boundaries.
200,000 requests/second	BENCHMARK TARGET	Target derived from an illustrative model; no universal workload claim is made.
Independent verification	NOT YET COMPLETE	No site language should imply independent reproduction until supporting evidence is published.

Status Definitions

DEFINEDPart of the written TiEE specification.

IMPLEMENTEDExists in executable code.

BENCHMARKEDTested with reproducible methodology and data.

MODELEDMathematical or economic projection based on stated assumptions.

HYPOTHESISPredicted outcome awaiting empirical confirmation.

UNVERIFIEDRequires validation before being presented as an established result.

Benchmark Standard

For a TiEE performance result to move from hypothesis to benchmarked status, Dragrush intends to identify the hardware and software environment, workload generator, baseline implementation, concurrency and latency conditions, measurement window, acceptance criteria, and raw output needed for reproduction. Independent verification will be labeled separately when completed by a third party.

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