# .Wave: continuous inference for live voice and streaming AI sessions

Canonical: https://thelazyweb.com/companies/wave/
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Author: Ali Abouelatta (https://thelazyweb.com/authors/ali-abouelatta/)
Published: 2026-09-19
Updated: 2026-09-19
Research type: Company profile
Method: Company and accelerator sources checked 2026-09-19. Product claims are attributed to their sources; this is research, not a hands-on product trial.

.Wave is a continuous-inference engine for streaming AI models, aimed at teams building live voice, speech, video, or other stateful sessions. The buyer decision is whether the workload is constrained by per-session GPU cost and timing—not whether a conventional request-serving stack is simply “slow.”

## What it does

.Wave says customers bring their own streaming model while the engine manages execution, session state, scheduling, and GPU sharing. Its public examples cover full-duplex voice and streaming speech recognition, with live-video and custom streaming architectures as adjacent uses ([.Wave homepage](https://dotwave.ai/); [YC profile](https://www.ycombinator.com/companies/dotwave)).

| Fact | What the public sources say |
| --- | --- |
| Buyer | Teams operating real-time voice, speech, video, or stateful AI sessions |
| Core job | Fit more concurrent sessions on a GPU while keeping each stream on time |
| Public case study | 56 concurrent Nemotron VoiceChat 11B sessions

[.Wave: continuous inference for live voice and streaming AI sessions](<https://www.thelazyweb.com/companies/wave/>)

Source observed: 2026-09-20T02:21:24.085Z. Last checked: 2026-10-08T01:57:33.718+00:00.

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