WebAssembly for AI Inference

Discover how we ran an AI image classification model on our CDN infrastructure using WebAssembly.
For innovators exploring the intersection of AI and edge computing, this guide reveals the potential of WebAssembly for AI inference. Learn how to overcome challenges, push technological boundaries, and harness global CDN networks to power advanced AI workloads.
What’s Inside:
- Insights into running AI inference on Gcore’s WebAssembly-at-the-edge environment, FastEdge.
- Challenges and solutions for adapting edge computing to AI workloads.
- The role of MobileNet V2 and OpenVINO in enabling lightweight image classification.
- Performance metrics, including latency and resource utilization.
- Practical applications and opportunities for experimentation with edge-based AI.
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