The Definitive Guide to Serving Open Source Models

This e-book explores deploying Small Language Models (SLMs) in enterprise AI, focusing on high-performance inference stacks:
• Dynamic resource management and autoscaling for reliability
• Enhanced performance with Turbo LoRA and FP8 quantization
• Cost-efficiency without quality loss
• Security, observability, and compliance features
SLMs provide faster inference and simpler deployment than larger models, maintaining performance through domain-specific fine-tuning. It addresses challenges in building inference infrastructure, offering insights on achieving reliability, performance, and cost-efficiency.
Unlock AI's potential with optimized inference stacks. Read the e-book to boost AI initiatives.