Model Quantization & Pruning for Cost Efficiency
Why Model Compression Matters
Large models consume significant compute resources. Compression techniques reduce memory footprint and inference latency.
Techniques
- Post-training quantization
- Dynamic quantization
- Structured pruning
- Unstructured pruning
Efficient models reduce operational cost while maintaining accuracy.
