RapidAI

Helping save lives with edge K8s

RapidAI needed a scalable solution to manage thousands of edge devices running life-critical AI workloads in hospitals. Palette was the answer.

Helping save lives with edge K8s

Watch the video to hear directly from RapidAI and be inspired by the powerful impact of edge architectures in healthcare.

“Using Palette, we can automate deployment and upgrade the entire stack — from the OS to all of our algorithms in the field — seamlessly, with a single click, without impacting patient care.”
Amit Phadnis
Chief Innovation and Technology Officer

Meet RapidAI

RapidAI is a leader and innovator in advanced imaging and workflow software. The company delivers deep clinical AI solutions on its Rapid Enterprise (TM) Platform, helping healthcare providers make fast and accurate diagnostic, treatment, and transfer decisions.

Learn more at rapidai.com

Challenges

  • Assuring high availability for life-critical applications, even during essential upgrades and patches
  • Hosting applications in diverse and customer-managed hospital environments, including airgapped sites
  • Maintaining rapid product innovation at scale across thousands of geographically distributed and independently managed sites

Business outcomes

  • Enabled real-time processing of high-volume data traffic at the edge with no disruptions
  • Boosted efficiency with automated management of thousands of edge devices through a single pane of glass
  • Achieved zero-downtime upgrades, maintaining continuous software availability
  • Improved revenue streams and cost efficiency by reducing onboarding time for customers and cutting field engineering expenses.

Dive deeper

Amit Phadnis discusses the role of edge computing, Kubernetes, and AI in transforming stroke care in this exclusive interview on The New Stack.

Read RapidAI’s story on The New Stack >