Ollaya Launches Local Runtime for Decision Models
Ollaya is an open-source local serving framework designed to run specialized decision models on ONNX Runtime in a single forward pass without autoregressive token generation. It delivers typed answers and calibrated confidence probabilities in 8 to 10 milliseconds with drop-in TypeSafe Jev API compatibility and support for open weights.
Using heavyweight generative LLMs for simple classification and routing decisions has always been an expensive architectural antipattern, and Ollaya provides the dedicated local runtime the ecosystem needed.
- –Single-pass latency: Bypassing token-by-token generation drops inference latency to sub-10ms while eliminating per-token cloud inference bills.
- –Calibrated confidence: Well-calibrated probabilities make automated thresholding and safety fallbacks feasible in production agent pipelines.
- –API compatibility: Mirroring the TypeSafe Jev API allows teams to test local open-source inference without restructuring upstream application code.
- –Data privacy: Local CPU and GPU execution keeps sensitive telemetry, support tickets, and private customer JSON payloads entirely on-premises.
DISCOVERED
1h ago
2026-09-25
PUBLISHED
3h ago
2026-09-25
RELEVANCE
AUTHOR
Ardakilic