Deepgram targets voice AI on air-gapped laptops
Voice AI is quickly becoming core infrastructure as people swap screens and clicks for conversations with their devices. That shift puts new pressure on the compute, storage and partnerships behind the models doing the listening and talking. Deepgram Inc., which expanded its Flux model to 10 languages earlier this year, needs infrastructure for both its […] The post Deepgram targets voice AI on air-gapped laptops appeared first on SiliconANGLE.
Get smart on it
Voice AI is becoming core infrastructure as people increasingly interact with devices through conversation rather than screens and clicks. A voice AI company is working to run its models directly on personal laptops in offline mode, rather than requiring connection to cloud servers, to make AI accessible where people actually use their devices. The company has 45 researchers requiring significant computing resources to continuously improve and retrain its models, and it partners with infrastructure providers to deploy voice AI across different settings, from small business systems to enterprise deployments. Getting voice AI to run natively on individual laptops represents the larger goal of meeting people where they are with AI technology.
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