> ## Documentation Index
> Fetch the complete documentation index at: https://docs.rime.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Together AI

> Use Rime TTS via Together AI's inference platform.

export const IntegrationHeader = ({partnerLogo, partnerAlt = "Partner logo", rimeLogo = "/images/rime_logo_new.svg", rimeAlt = "Rime logo", rimeHeight = "40px", partnerHeight = "40px"}) => <div style={{
  width: "100%",
  display: "flex",
  flexDirection: "row",
  alignItems: "center",
  justifyContent: "center",
  gap: "12px",
  flexWrap: "nowrap",
  marginBottom: "24px"
}}>
    <img src={rimeLogo} style={{
  height: rimeHeight,
  display: "inline-block"
}} alt={rimeAlt} />
    <span style={{
  fontSize: "24px",
  color: "#666",
  display: "inline-block"
}}>
      +
    </span>
    <img src={partnerLogo} style={{
  height: partnerHeight,
  display: "inline-block"
}} alt={partnerAlt} />
  </div>;

<IntegrationHeader partnerLogo="/images/together.png" partnerAlt="Together logo" />

[Together](https://together.ai/) is the leading end-to-end cloud built for training and deploying open-source AI, delivering reliable inference at production scale.

Rime’s text-to-speech synthesis models, [Arcana v3](https://www.together.ai/models/arcana-v3), [Arcana v2](https://www.together.ai/models/arcana-v2), and [Mist v2](https://www.together.ai/models/mist-v2), are available via Together’s platform. By deploying Rime’s models on Together AI, developers can now access state-of-the-art speech generation with significant latency savings, without compromising on quality.

More information is available in [Together’s documentation](https://docs.together.ai).