Redis Labs Delivers Powerful Data Platform for Next Wave of AI Applications
Summary
RedisAI and RedisGears were designed to solve this problem, by reducing the end-to-end AI serving time to milliseconds," said Yiftach Schoolman, CTO, and co-founder at Redis Labs. "With Redis Enterprise as the perfect high-performance and scalable foundation, RedisAI and RedisGears will enable our customers to successfully utilize AI technologies to create operational efficiencies and solve real business problems in real-time. Many of the leading AI-driven applications such as fraud detection, transaction scoring, ad serving, recommendation engine, image recognition, autonomous vehicles, and game monetization will achieve dramatically better business outcomes with these performance improvements. Integrated with MLflow, RedisAI eases the management of the AI lifecycle by allowing running models to be updated seamlessly and without downtime. With built-in support for major AI backend systems (TensorFlow, PyTorch, and ONNX Runtime), RedisAI allows inferencing to be run across platforms.
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