Google DeepMind Genie 3
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- 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.
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