Reactor
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Headlines · 2
- Reactor raises $74M to run real-time world models under 40ms
A report republished by 36Kr says startup Reactor has added an extension to its Series A from NVIDIA and Sapphire Ventures, bringing total funding to $74 million after a $59 million seed-plus-Series A led by Lightspeed Venture Partners. Reactor builds real-time multimodal inference infrastructure, claiming developers can run interactive video and live world models at 60+ FPS with under 40ms latency through a unified SDK and API, and it worked with the AWS Neuron Science team to run a real-time autoregressive diffusion video model on a single Trainium2 chip. The report says the platform is already used by Hollywood studios, ad platforms and streaming services, and is also pitched at physical AI and robotics for cloud-hosted policies and world models as closed-loop simulation.
36氪 人工智能 · 🔥 0 - FastH3-Omni brings synchronized audio-video generation to Reactor preview
Reactor introduced FastH3-Omni in a post shared by MiniMax on X, describing it as an open-source version of MiniMax's realtime H3 post-trained by FastVideo with haoailab and nuvalab that generates video with synchronized audio from a single prompt. The model supports first- and last-frame conditioning and audio input, and is available as an exclusive preview on the Reactor API until Oct. 20, 2026. Reactor also calls it the "fastest and highest-quality" open-source realtime H3 version, but no independent benchmarks were supplied to support that claim.
MiniMax_AI (X) · 🔥 0
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