News
Today, we'd like to share that Hathora has been acquired by Fireworks AI. Our team will be joining Fireworks to work on compute orchestration for AI inference at scale. Over the past four years, we built a global container orchestration platform spanning 14 regions, two bare metal providers
AI
We just added Chatterbox Turbo to Models. Chatterbox Turbo is one of the fastest open-source text-to-speech models available today—and the first to combine real-time performance with paralinguistic prompting. That means speech that doesn’t just sound realistic, but behaves like a human voice: laughs, sighs, hesitations, and all. On
News
Today is an exciting day in Hathora's journey. I’m thrilled to announce the launch of models.hathora.dev, an inference platform to explore, test, and deploy production-ready ASR, TTS, and LLM models for voice agents. You can try it today and support our launch on Product Hunt.
News
We're excited to announce that Hathora has been accepted into the NVIDIA Inception program. Why a Gaming Infrastructure Company Will Power AI Workloads Gaming doesn't tolerate excuses. Real-time performance isn't a nice-to-have feature you can optimize later—it's existential. If your multiplayer
Changelogs
The leaves aren’t the only thing changing. This month, we’re giving you more control: run mixed hardware using multi-fleet, tag builds in the console, and breeze through a cleaner settings layout. Bonus, Hathora is in its SOC 2 observation period, so we’re extra safe while staying spicy
Changelogs
Over the last few months, we've built on the strong foundation we created for game servers and expanded to serve more use cases. Our recent launch of Horde UBA on Hathora was the first step, and since then we’ve delivered new ways to put our hybrid multi-cloud
Changelogs
We’ve been cooking at Hathora and not just from the NYC heat. This month, we launched node-level metrics, improved our UBA and backend integration docs, and refreshed the cloud configuration modal in the console. Let’s dive in 💃 🚀 Introducing Node metrics You can now view individual nodes within a
AI
Why? Large language model deployment is becoming a necessity for modern applications, with inference optimization playing a central role in shaping both user experience and cost. Latency spans GPU efficiency, network routing, and autoscaling, making it a complex but rewarding area to improve. At Hathora, we’re drawing on lessons
News
Unreal Build Accelerator (UBA) is one of the most powerful ways to speed up Unreal Engine development, especially for large C++ or shader-heavy projects. By distributing compilation jobs across a farm of machines, developers can cut build times dramatically. We’ve seen teams reduce builds by up to 90% using
Technical Blog
Background If you were a company that needed compute resources in the 1990’s and early 2000’s, the prevalent model was purchasing and maintaining your own servers, either in your own datacenters or through colocation services. AWS rapidly transformed the landscape with the launch of EC2 in 2006, allowing
Elastic-metal infra, globally deployed, ready for scale.
News
Today, we'd like to share that Hathora has been acquired by Fireworks AI. Our team will be joining Fireworks to work on compute orchestration for AI inference at scale. Over the past four years, we built a global container orchestration platform spanning 14 regions, two bare metal providers
News
Today is an exciting day in Hathora's journey. I’m thrilled to announce the launch of models.hathora.dev, an inference platform to explore, test, and deploy production-ready ASR, TTS, and LLM models for voice agents. You can try it today and support our launch on Product Hunt.
News
We're excited to announce that Hathora has been accepted into the NVIDIA Inception program. Why a Gaming Infrastructure Company Will Power AI Workloads Gaming doesn't tolerate excuses. Real-time performance isn't a nice-to-have feature you can optimize later—it's existential. If your multiplayer
AI
We just added Chatterbox Turbo to Models. Chatterbox Turbo is one of the fastest open-source text-to-speech models available today—and the first to combine real-time performance with paralinguistic prompting. That means speech that doesn’t just sound realistic, but behaves like a human voice: laughs, sighs, hesitations, and all. On
AI
Why? Large language model deployment is becoming a necessity for modern applications, with inference optimization playing a central role in shaping both user experience and cost. Latency spans GPU efficiency, network routing, and autoscaling, making it a complex but rewarding area to improve. At Hathora, we’re drawing on lessons
