Hathora
Deploys low-latency voice AI models (ASR, TTS, LLM) globally for real-time applications.
Deploys low-latency voice AI models (ASR, TTS, LLM) globally for real-time applications.
Black Friday Deal:
Hathora Models is your go-to platform for voice AI deployment. It helps you build real-time voice agents and applications using ASR, TTS, and LLM models. Hathora handles all the complex infrastructure, letting you deploy globally with super low latency and save money.
Multi-Region Deployment.
Hathora lets you place models across 14+ global regions. It then automatically sends users to the closest model. This makes things fast for everyone.
Unified Model Interface.
You can use different types of voice models. Hathora works with ASR, TTS, and LLM models. It pulls them from providers like OpenAI and ElevenLabs.
Sub-50ms Latency.
The platform is super fast. You get an average of 32 milliseconds latency. New models start up in just 2.2 seconds. This makes voice interactions feel natural.
Hybrid Infrastructure.
Hathora combines powerful bare-metal servers with cloud services. Bare-metal can cut your costs by over 60%. This gives you the best of both worlds.
Automatic Scaling.
The system handles traffic spikes by itself. It quickly adds more power when needed. It can spin up new capacity in under two minutes.
Comprehensive Observability.
You get real-time info on how your models are performing. This includes metrics and logs. You can also integrate with tools like Prometheus.
Hathora Models gets you 32ms average edge latency and starts up containers in just 2.2 seconds. This means voice interactions feel really quick and natural.
Tests showed you can save over 60% on costs using Hathora's bare-metal option compared to similar cloud services. You might even save more than 90% on data transfer fees.
Yes, you can bring your own models by putting them in containers. Hathora supports these custom containers right alongside pre-built models from places like OpenAI, AssemblyAI, and ElevenLabs.
Absolutely. Hathora offers 24/7 enterprise support with quick response times, built-in security against attacks, and has shown it can handle real-world production launches.
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