Right-Sizing Your AI Solutions at the Edge
Webinar
Deploying AI at the edge presents a unique set of challenges and opportunities. While it promises transformative benefits like real-time insights, autonomous decision-making, and improved operational efficiency across various industries, success hinges on careful consideration of resource constraints. Limited power, bandwidth, and computational resources at the edge demand a meticulous approach to AI deployment. Right-sizing AI solutions is not merely an optimization strategy, but a critical necessity for successful edge AI deployments.
During the webinar, we will discuss why and when it makes sense to leverage different Red Hat capabilities such as Red Hat Virtualization, Openshift, Device Edge, or Image mode in conjunction with OnLogic hardware to effectively right-size and deploy AI solutions at the edge. By effectively right-sizing AI at the edge, organizations can unlock the full potential of this transformative technology while addressing the unique challenges and constraints of the edge environment.
Key Takeaways:
- Recognize the uniqueness of edge AI deployments
- Understand the unique challenges and opportunities of edge AI
- Learn how to select the most suitable hardware and software for your specific edge AI workload
- Discover strategies for optimizing AI performance, cost, and energy consumption at the edge
Speakers
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Scott Bekker Webinar Moderator Future B2B
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Ross Hamilton Senior Systems Architect OnLogic
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Danielle Speroni Partner Account Manager Red Hat
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Alex Kubacki Technical Architect Red Hat