Learn how to increase inference throughput by 4x and reduce serving costs by 50% with Turbo LoRA, FP8, and GPU Autoscaling
October 29 from 10 am - 11 am PT
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 webinar, you’ll learn how to speed up deployments, improve reliability, and reduce costs—all while avoiding the complexity of managing infrastructure.
✅ 4x your SLM throughput with Turbo LoRA and FP8.
✅ 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.
