Optimize Inference for Fine-tuned SLMs

As small language models (SLMs) become a critical part of today’s AI toolkit, teams need reliable and scalable serving infrastructure to meet growing demands. The Predibase Inference Engine simplifies serving infrastructure, making it easier to move models into production faster.

In this tech talk, you’ll learn how to speed up deployments, improve reliability, and reduce costs—all while avoiding the complexity of managing infrastructure.

You'll learn how to:

• 4x your SLM throughput with Turbo LoRA, FP8 and Speculative Decoding
• Effortlessly manage traffic surges with GPU autoscaling
• Ensure high availability SLAs with multi-region load balancing, automatic failover, and more
• Deploy into your VPC for enhanced security and flexibility

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Session slides: https://pbase.ai/4f1VECU

Try Predibase for free: https://predibase.com/free-trial