The Definitive Guide to Serving Open-Source Models
                
                
                
                Your complete guide to mastering fast, efficient and  cost-effective deployments
Transform Your AI Deployments with this Definitive  Guide
For teams training and deploying Small Language Models  (SLMs), mastering efficiency and scalability isn't just beneficial—it's  critical. Our guide provides a deep dive into the essential strategies for  optimizing SLM deployments.
What you'll learn:
  - Dynamic GPU Management: Seamlessly autoscale  resources in real-time, ensuring optimal performance.
- Accelerate Inference: Increase LLM throughput by  2-5x using techniques like Turbo LoRA and FP8.
- Dramatically Cut Costs: Serve many fine-tuned  LLMs on one GPU to reduce costs without hurting performance.
- Enterprise Readiness: Ensure your deployments  strategy meet rigorous standards for security and compliance.
- Gain the insights needed to efficiently deploy  and manage your SLMs, paving the way for enhanced performance and cost savings.
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