AI inference optimization infrastructure reducing computational costs by 40–70% through sovereign quantization, caching, and hardware-aware scheduling — without degrading model quality.
Automatic INT4/INT8 quantization with quality preservation benchmarking on sovereign test corpora.
Semantic similarity caching that eliminates redundant compute across repeated and near-duplicate queries.
Workload-aware routing between Metal GPU, CPU, and neural engine for minimum latency per dollar.