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AWS has published a tutorial demonstrating how to deploy Qwen3-TTS on Amazon SageMaker AI using the vLLM-Omni Deep Learning Container, enabling text streaming in and 24 kHz PCM audio chunks streaming out through SageMaker bidirectional streaming connections, along with a companion Gradio application. This DLC is based on vLLM-Omni v1.5 and adds the bidirectional streaming capability labels and routing middleware required by SageMaker AI; the example uses the native WebSocket route v1/audio/speech/stream.
AWS has published a tutorial demonstrating how to deploy Qwen3-TTS on Amazon SageMaker AI using the vLLM-Omni Deep Learning Container, enabling text streaming in and 24 kHz PCM audio chunks streaming out through SageMaker bidirectional streaming connections, along with a companion Gradio application. This DLC is based on vLLM-Omni v1.5 and adds the bidirectional streaming capability labels and routing middleware required by SageMaker AI; the example uses the native WebSocket route v1/audio/speec
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Google released two text-to-speech models, gemini-3.8-flash-tts and gemini-3.8-flash-lite-tts, offering more than 2000 voices and support for creating custom voices from 30-second audio samples. Leveraging the Gemini API's open CORS policy, Simon Willison quickly built a bring-your-own-key Playground with GPT-6 Astra and demonstrated speech generation for multi-character dialogue. In his test, generating 1 minute 18 seconds of audio with Gemini 3.8 Flash TTS took about 20 seconds and cost 2.74 cents.
Google released two text-to-speech models, gemini-3.8-flash-tts and gemini-3.8-flash-lite-tts, offering more than 2000 voices and support for creating custom voices from 30-second audio samples. Leveraging the Gemini API's open CORS policy, Simon Willison quickly built a bring-your-own-key Playground with GPT-6 Astra and demonstrated speech generation for multi-character dialogue. In his test, generating 1 minute 18 seconds of audio with Gemini 3.8 Flash TTS took about 20 seconds and cost 2.74 c
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