We’re excited to announce that Rime’s speech models are now available on Together AI, making it easier than ever to build fast, natural, and enterprise-ready AI Voice applications.
Together AI is the AI Native Cloud purpose-built for AI-native companies training and deploying models at enterprise scale. Built on deep systems research and optimized for GPUs, Together delivers low-latency, cost-efficient inference and customization for always-on production — where throughput, cost, and reliability matter as much as raw speed. With a full suite of compute and software tools supporting over a million developers, Together AI enables teams to run Rime models with best-in-class performance while retaining full ownership and control.
This makes Together AI an ideal environment for teams that care deeply about flexibility, performance, and reliability in production.
By deploying Rime’s models on Together AI, developers can now access state-of-the-art speech generation with significant performance improvements, while being able to run the models within a dedicated environment ensuring data security.
Rime’s models are optimized for high-volume enterprise telephony use cases, delivering fast best-in-class latency, concurrency resulting in market-leading call containment and conversion. Rime models outperform all other speech models when comparing ROI for high-volume telephony use-cases.
Why Rime on Together AI
Built for Speed and Enterprise Scale
Low-latency inference designed for real-time and bi-directional streaming applications
High-quality, natural-sounding speech generation resulting in higher call containment
Enterprise-ready performance, optimized for reliability and efficiency at scale
On-Prem Quality, Delivered via the Cloud
Running Rime models on Together AI’s cloud delivers the quality and control of on-prem deployments, without the operational overhead. Teams get:
A dedicated endpoint that’s seamless to deploy
Best in-class latency and ability to co-locate models
Reliable performance and rigorous benchmarks
Enterprise-grade observability in a managed environment
Spin Up in Seconds
Anyone can spin up a dedicated endpoint in ~30 seconds. Compute can be co-located with your LLM and speech-to-text stack, dramatically reducing end-to-end latency. This makes Together AI + Rime the best way to build any kind of enterprise telephony voice agent.
Designed for Voice Agents
Rime speech models on Together AI offer a massive value proposition for enterprise teams building voice applications
Seamless integration with existing Together AI workflows
Co-located inference for LLMs, speech-to-text, and text-to-speech
Optimized for customer experience and customer support use-cases
For new and existing Together AI customers, adding Rime is frictionless. Teams already using Together’s infrastructure, can seamlessly deploy Rime speech models to their hardware and start shipping voice applications that outperform immediately.
This makes Rime + Together the fastest path from prototype to enterprise production for voice agents resulting in speed-to-value like never before.
The platform is built for production AI, with:
Infrastructure
Dedicated GPU capacity with isolated workloads
99.9 percent uptime SLA
SOC 2 Type II, HIPAA ready, PCI compliant
Global data centers
WebSocket streaming support
Zero data retention: inputs never stored or used for training
Full data ownership and control
Developer experience
Same SDKs and authentication as LLM and STT endpoints
Single observability and logging surface for entire voice pipeline
Model selection and swapping via configuration
Professional voice cloning services available
Get Started
If you’re already building on Together AI, you can now explore Rime’s speech models and start delivering fast, high-quality voice experiences.
👉 Check out the Rime models in the Together AI docs and start building today.
