Purpose
Efficiency.
The project evaluates whether LLM-based workloads can use fewer computational resources while preserving the required output quality in the stated experiments.
About
About RHEA Kernel.
RHEA Kernel is an experimental AI-efficiency project focused on reducing computational, token, latency and energy cost in LLM-based workloads while preserving output quality.
RHEA Kernel is being developed and validated as a proprietary project. Its public record focuses on measured outcomes, dated evidence and clearly defined limits — not on disclosing the private technical implementation.
Evidence
Validation.
Selected benchmark results, replication records, functional-validation outcomes and integrity references are published when approved for public release.
Disclosure
Private development.
RHEA Kernel remains proprietary and is not open source. Technical implementation and unpublished supporting material remain private.
Project approach
Evidence before broad claims.
Public RHEA Kernel results are tied to the models, workloads, validation sizes, quality checks and measurement procedures stated in their records. The project does not present benchmark-specific percentages as universal guarantees.
Where additional model families or workload profiles have been tested, the public record describes those cases as bounded experimental evidence rather than proof that every environment will behave identically.
Measured outcomesPublic claims are framed around recorded experimental results rather than unpublished implementation details.
Explicit scopeResults are presented with limits so readers can distinguish tested evidence from broader assumptions.
Quality checksPublished validation records include the relevant coverage, accuracy or output-parity checks where recorded.
Integrity recordsSelected private artifacts can have public SHA-256 fingerprints so retained copies can later be checked against the public integrity record.
Current public status
Active private development.
RHEA Kernel remains under active private development and validation. The public website provides a readable view of approved project information, while the public GitHub repository serves as the underlying record for selected results, dated validation material, artifact fingerprints and rights notices.
Project status
Active private developmentPublic material represents selected approved records, not the complete private development state.
Distribution status
Proprietary · not open sourceThe public repository does not publish or license the private RHEA Kernel implementation.
Disclosure boundary. This website explains what RHEA Kernel is intended to improve and what selected experiments have measured. It does not document the proprietary mechanism responsible for those results.