Case Study: Zebra Technologies achieves seamless hybrid on-prem and cloud model training with NVIDIA Run:ai

A NVIDIA Run:ai Case Study

Preview of the Zebra Technologies Case Study

Zebra technologies effortlessly hops between on-prem and cloud model training with Run:ai's hybrid cloud support

Zebra Technologies, a global manufacturing leader serving retail, logistics, healthcare and more, needed to accelerate development of computer-vision and other AI/ML models while making better use of its on‑prem GPU cluster and avoiding manual, spreadsheet-based resource planning. To meet those challenges, Zebra turned to NVIDIA Run:ai and its Run:ai platform for hybrid cloud orchestration and GPU management.

NVIDIA Run:ai implemented hybrid cloud support and automated allocation so Zebra can maximize on‑prem GPU utilization and transparently burst to cloud capacity during spikes. The Run:ai solution eliminated spreadsheets, increased compute availability during unexpected demand, shortened time to market and helped control costs by automatically balancing on‑prem and cloud resources.


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Zebra Technologies

Andrea Mirabelle

Sr. Manager, Computer Vision


NVIDIA Run:ai

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