Question: Can you recommend a platform that streamlines AI model deployment on edge devices?

If you need a foundation to get AI models running on edge devices, Peridio is a good option. It can speed up software development, firmware updates and device management for AIoT projects, and it helps get AI models to the edge. Optimized reference platforms, flexible integrations and secure tunneling for device access and observability make it a good option for developers and teams building AIoT products.

For a cloud-based option, Salad is a low-cost way to deploy and manage AI/ML production models at scale. With a global edge network, on-demand elasticity, GPU-powered processing and multi-cloud support, Salad can run a range of GPU-hungry workloads at a fraction of the cost. Its interface is easy to use, and it integrates with popular container registries for easy deployment of AI models.

You could also look at Anyscale, which promises the highest performance and efficiency for developing, deploying and scaling AI applications. Based on the open-source Ray framework, Anyscale supports a broad range of AI models and comes with features like workload scheduling, cloud flexibility and smart instance management. It can cut costs and simplify operations, making it a good option for companies that want to squeeze more out of their AI operations.