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.wave

Continuous inference for real-time AI

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.wave provides continuous inference infrastructure for real-time AI models, handling stateful models that process live input throughout a session rather than serving bounded requests. It addresses the timing requirements of workloads such as full-duplex voice and streaming speech recognition, where outputs must meet recurring deadlines.

The .wave Live API offers hosted models in public beta, including Nemotron Labs VoiceChat 11B for full-duplex voice and Nemotron 3.5 ASR Streaming 0.6B for streaming speech-to-text. Custom continuous models can be run through managed deployments. The underlying engine uses WPK, a persistent GPU kernel, to keep recurring work on the GPU and share capacity across live sessions.

.wave is aimed at teams building real-time AI applications that require sustained, stateful inference. It is available in public beta, with hosted access through the Live API and managed deployment options for custom models.

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