Faster AI with controlled resources: cache, batching and quantization
AI inference optimization in cloud and on-premises: cache, batching, quantization and experiments tracking latency, memory and quality.

AI inference optimization in cloud and on-premises: cache, batching, quantization and experiments tracking latency, memory and quality.
Practical guide for SMEs: evaluating LLMs by quality, Romanian language capability, total cost, latency, confidentiality, and risk.
