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.
If real-time world-model inference becomes standard, compute spend will scale with user engagement time rather than request count, making the serving layer a key gateway for new interactive applications.
近两年，视频模型和世界模型蓬勃发展，批量涌现出优秀创业公司，模型本身的进化也极快。模型的进步，带动了应用的进步，例如字节跳动的Seedance，已经成为它在AI领域的收入主力。
而应用的进步，又对基础设施提出了新的严苛要求。例如数字人直播，以及世界模型在仿真领域的应用，它们要求的不是单纯的内容生成，更要求与用户以及“环境”互动。
这让AI发生了根本性转变：AI不再仅是依靠提示词驱动的工具，而是演变为了用户可以置身其中并进行实时交互的体验。
实时性，成为AI模型和应用对基础设施提出的新要求，但目前市场上缺乏能够在生产环境中实时运行多模态模型的平台。
不过，一家叫Reactor的创业公司正在试图构建这个基础设施层，它希望能让开发者通过SDK与API，只需几行代码即可构建实时交互式应用，它的平台可支持60FPS以上、低于40毫秒延迟的实时模型运行。
#Reactor#NVIDIA#Sapphire Ventures#Lightspeed Venture Partners#AWS Trainium#Apple Vision Pro#Luma AI#Google DeepMind Genie 3#StreamDiT#ByteDance Seedance