AI Infrastructure Truths: Scaling AI at Edge

Bruce Kornfeld, Chief Product Officer at @StorMagicChannel : The Future of Edge Computing 🚀🌟

Thrilled to share insights from our recent conversation with Bruce Kornfeld on the trends shaping emerging technology and the future of edge computing! 🌍🔗

Timecodes:

00:00 Introduction and Edge Definition

03:01 Cloud vs. Edge Challenges
06:01 Virtualization software (VMware alternatives), AI adoption push ("AI or die"), and real-world use cases.
09:01 AI for IT innovation, retail edge success story, and cloud cost disaster warnings.
12:01 Cloud over-reliance risks, uptime criticality, and HCI redundancy solutions (
15:01Cost analysis, new virtualization (e.g., KVM), and prediction of smaller hardware/AI management.
18:01 Advice on edge adoption/HCI and fostering innovation

Bruce, with his deep roots in hardware as an electrical engineer, believes that hardware innovation is driving the software industry. From NVIDIA’s cutting-edge chips to AMD and Intel’s advancements, we’re seeing a surge in powerful, compact devices, such as the Raspberry Pi—a tiny computer costing just around $100. 💻⚡️

So, where’s the industry headed? Bruce predicts:
🔹 Smaller, more powerful form factors delivering top-notch performance and reliability. 🛠️🔥
🔹 A new mindset: “If a server fails, who cares? It’s $500—replace it!” 🔄💸
🔹 The rise of edge data management as a critical challenge. Managing thousands of edge sites is like the “Wild Wild West” right now. 🌄📊

The future? AI-driven management of edge environments. Picture AI seamlessly handling server failures, installing software, and managing systems remotely—easing the burden on IT teams with minimal human intervention. 🤖🌐

We’re not there yet, but Bruce sees us charging toward this future. How do you think customers will adapt to this decentralized, AI-powered edge revolution? Let’s talk! 👇🗣️

#EdgeComputing #EmergingTech #AI #HardwareInnovation #FutureOfTech 🚀✨

Видео AI Infrastructure Truths: Scaling AI at Edge канала SaugaTalks