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Ollaya Launches Local Runtime for Decision Models

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Ollaya Launches Local Runtime for Decision Models
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// 1h agoOPENSOURCE RELEASE

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.

// ANALYSIS

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.
// TAGS
ollayadecision-modelsopen-sourcelocal-aiinferenceonnxclassificationllm

DISCOVERED

1h ago

2026-09-25

PUBLISHED

3h ago

2026-09-25

RELEVANCE

8/ 10

AUTHOR

Ardakilic