Cost & Performance

Operating LLM systems efficiently through caching, model selection, and inference optimization.

Cost & Performanceadvanced

Inference Optimization

Maximize inference throughput through batching, KV cache optimization, and model parallelism to reduce latency and serve more requests per GPU.

Cost & Performanceintermediate

Prompt Caching

Reuse responses for repeated or similar prompts through semantic and prefix caching strategies to cut latency and reduce API costs.

Cost & Performanceadvanced

Small Language Models

Reduce model size through distillation, quantization, or speculative decoding while preserving quality for cost-efficient deployment.