Bridging the Edge: How N2D2 is Redefining Neural Network Design and Deployment
The artificial intelligence revolution has largely been built in the cloud, fueled by warehouse-scale data centers, sprawling graphics card clusters, and seemingly limitless electricity. But as AI permeates everyday physical hardware—from autonomous vehicles traversing city streets to microscopic sensors monitoring industrial machinery—a massive bottleneck has emerged. Cloud-scale models are simply too heavy, too power-hungry, and too slow for constrained edge environments.
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