Las Vegas — swXtch.io this week launched the swXtch AI Router, a chat-driven platform that brings artificial intelligence into live media production by translating operator intent into production-ready AI pipelines. The AI Router acts as a virtual broadcast engineer, allowing operators to use natural-language prompts to route live audio and video from on-premises or cloud environments into inference models from any provider and deliver processed outputs globally in the formats required by their workflows. The platform integrates with Microsoft Fabric and NVIDIA AI infrastructure to connect enterprise data and real-time AI inference directly into live workflows without requiring operators to have AI or networking expertise. At the center of the platform is an AI Marketplace, a curated catalog of video and audio inference models across providers with off-the-shelf integrations that plug into live workflows. Operators can test multiple models within the same pipeline and compare performance in real time, optimizing for accuracy, latency or cost without reconfiguring infrastructure. The AI Router integrates with NVIDIA NIM microservices and NVIDIA Holoscan for Media to bridge on-premises environments with cloud-based AI pipelines, and it links enterprise data through Microsoft Fabric and Microsoft 365 Copilot so Teams communications, email and operational context can inform real-time, context-aware workflows. "With the AI Router, we remove the hardest parts of deploying AI in live production," said Brent Yates, CEO of swXtch.io. "Operators can describe what they need, and the platform teaches, guides, and builds the solution."
Prepared by Jonathan Pierce and reviewed by editorial team.
swXtch AI Router 简化了现场媒体制作。它使用 AI 理解您的命令,然后为您完成技术工作。如果您从事广播、视频制作或类似领域的工作,这可能会使您的工作更轻松。检查您的公司是否使用 Microsoft Fabric 或 NVIDIA AI,因为该平台与这些集成。
人工智能正在让复杂的任务变得更简单。swXtch.io 的新平台就是一个绝佳的例子,它将技术术语转化为日常语言。这是实现人工智能普及的重要一步,而不仅仅是面向技术专家。如果您认识媒体制作行业的人,值得转发。
技术供应商、人工智能模型提供商和渠道合作伙伴通过销售、集成机会和新的收入来源获益。
本地IT团队和小型广播公司可能会面临增加的集成负担和潜在的成本。
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swXtch AI Router 将 AI 引入直播媒体制作
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