You invest in data, AI/ML development, and powerful training models. But can you deliver those insights where they are needed fast enough?
Modern AI applications need low latency between the inference engine and the end user to be effective. The closer you can get to the user, the more likely your AI investment is to pay off.
Ridge Cloud gives you the ability to run your inference engine in 81+ locations around the world. That geographic distribution enables AI application owners to dramatically improve operational performance by deploying workloads on the Ridge Cloud. The more sensitive your AI application is to performance, the more you need local resources to improve latency, cost, and data sovereignty conformity. As the operational performance of inference engines increases, so does your ability to extract value from your AI investment.
Ridge Cloud ensures that resources are highly available everywhere you users are located, allowing you to run your inference engine anywhere.
To deliver on the promise of AI applications, you need to deliver time to insights seamlessly. Our mission is to enable innovators like you to deploy inference engines for AI applications anywhere you need them to run
Deploy your machine learning applications seamlessly on any of 81+ locations across five continents on the Ridge Cloud without investing in new infrastructure or committing to long-term vendor lockin.
If your existing deployment is still not delivering on time to insights in some locations, Ridge Cloud can bring your infrastructure up to speed seamlessly. If you are designing a whole new AI application from scratch, you can use Ridge to optimize for massive distribution so no application lags behind.