Edge AI is one of the hottest trends in IT, and with good reason. It’s the key to putting transformative AI workloads where they can make the biggest difference. Here’s how to make edge AI a reality.
Edge AI is when you run applications powered by artificial intelligence on distributed edge computing infrastructure, instead of in a data center or cloud.
An edge computing endpoint may be a telco carrier’s base station, a connected car, a small form-factor server in a retail store, or a piece of medical equipment in a hospital.
What all these things have in common is that they are out in the world, close to users (whether they’re customers, patients or employees), and embedded in the front lines of business processes where data originates.
The global Edge AI software market is set to grow from $590 million in 2020 to $1.83 trillion by 2026, according to MarketsandMarkets Research.
AI apps will increasingly be deployed in edge locations in order to get closer to the data, the process and the user. This is essential for:
Spectro Cloud’s Palette Edge solution now features EdgeAI capabilities, designed to help enterprises like yours embrace the potential of AI at the edge. You’ll be able to:
To run AI workloads, each edge location needs servers with an OS, Kubernetes, integrations such as security and observability tools, a model serving framework such as Kubeflow, and one or more AI models deployed and configured. Doing this manually, hundreds or thousands of times, is cost prohibitive — especially if you need an expert to visit each site in person.
Palette’s EdgeAI makes it easy, with:
Competitive innovation comes from non-stop incremental improvements in your AI models. How can you push new code daily, and roll back safely with full control? Palette’s EdgeAI enables you to:
Any edge computing has risks — and with edge AI, the stakes are high. The models themselves may be your critical IP, and they may be deployed in vulnerable edge locations that you don’t own. The data they gather and analyze may be sensitive and covered by compliance requirements.
Palette’s EdgeAI solves for security with:
Spectro Cloud Palette is already supporting innovative enterprises pioneering AI at the edge, including:
Rapid uses the power of AI to diagnose serious medical conditions across thousands of hospitals
“When it comes to deploying our applications securely and easily to the edge, we trust Spectro Cloud’s Palette”
GE HealthCare uses the power of AI to manage clinical apps including AI image analysis across medical locations.