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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