ML Inference Optimization

When to Use This Skill

Use this skill when:

• Optimizing ML inference latency
• Reducing model size for deployment
• Implementing model compression techniques
• Designing inference caching strategies
• Deploying models at the edge
• Balancing accuracy vs. latency trade-offs

Keywords: inference optimization, latency, model compression, distillation, pruning, quantization, caching, edge ML, TensorRT, ONNX, model serving, batching, hardware acceleration

Inference Optimization Overview