2025 IoT Edge Computing Innovation Award Winner

Penguin Solutions has been named the winner of the 2025 IoT Edge Computing Innovation Award for its Stratus ztC Endurance™ platform, a breakthrough in fault-tolerant, serviceable, and AI-ready edge infrastructure.

About the Winning Solution

Penguin solutions logoThe second-generation Stratus ztC Endurance platform delivers validated seven nines (99.99999%) uptime for mission-critical edge workloads. Built on fifth-generation Intel® Xeon® processors with configurations up to 64 cores per module and optional 100Gb Ethernet, the platform consolidates mixed workloads such as control, analytics, and on-device AI inference onto a single resilient footprint.

Engineered for distributed environments, the system features predictive fault monitoring, customer-replaceable units for rapid serviceability, and a management design that reduces on-site intervention at remote locations. Independent benchmarking has demonstrated high image-inference throughput at low latency, reinforcing its readiness for computer vision and real-time analytics at the edge.

Why It Stood Out

Judges highlighted the platform’s combination of enterprise-grade reliability and operational simplicity, supported by a proven record of long-running deployments across hundreds of distributed sites. Stratus ztC Endurance demonstrates how edge systems can achieve both resilience and intelligence at scale.

“Penguin Solutions continues to raise the bar for what’s possible at the edge,” said Jordan Hayes, IoThinkTank Awards Coordinator. “Their Stratus ztC Endurance platform blends industrial-grade reliability with performance that meets modern AI demands. This award reflects the kind of engineering excellence that is defining the future of distributed computing.”

About the IoT Edge Computing Innovation Award

The IoT Edge Computing Innovation Award recognizes solutions that push intelligence and resilience closer to where data is generated. Winners demonstrate measurable improvements in availability, performance, and manageability for real-time, distributed IoT systems.

 

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