Running LLMs on-device or at the edge eliminates round-trip latency and data privacy concerns. A practical guide to quantization, ONNX Runtime, and deploying small models on Cloudflare and Vercel Edge.

Introduction

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Key Concepts

• First important concept in AI / Edge
• Second key point about Serverless AI Inference at the Edge: Deploying Models Without GPUs
• Third major consideration for developers

Code Example

// Example code related to AI / Edge
const exampleFunction = () => {
  // This will be real code examples in the future
  console.log("Example code for Serverless AI Inference at the Edge: Deploying Models Without GPUs");
};

Conclusion

In conclusion, this article covered the key aspects of Serverless AI Inference at the Edge: Deploying Models Without GPUs. Stay tuned for more articles about AI / Edge and related topics.