📖 Mastering LLM Inference

[Free Guidebook]

Open-source language models like DeepSeek R-1 and Llama 3.3 are closing the gap with commercial models. Yet deploying them at scale—smoothly and reliably—comes with its own challenges.

Whether you’re already serving LLMs or planning to, don’t miss these four proven tactics to boost performance, cut costs, and ensure enterprise-grade reliability. Predibase compiled everything into a concise, free guidebook to get you up to speed fast. And we recommend you to get it.

Here’s what you’ll find inside:

• Scalability Best Practices: Dynamic resource allocation and autoscaling to handle unpredictable workloads with ease.

• Faster Inference Methods: Concrete steps to achieve up to 3–5x faster throughput for your models.

• Cost-Reduction Techniques: Smart GPU usage and multi-LoRA serving to trim your infra expenses—without sacrificing performance.

• Enterprise Readiness: How to tackle security, observability, and compliance so you can deploy confidently at any scale.

Ready to start optimizing your LLM deployments?

With these practical strategies, you’ll be able to ship faster and spend less on complex infra.