The Fastest Way to Serve Open-Source Models: Inference Engine 2.0

Serving open-source LLMs in production just got a major upgrade. In this deep dive, we walk through Inference Engine 2.0—Predibase’s blazing-fast, highly reliable stack for deploying and scaling open-source language models like LLaMA 3, Mistral, DeepSeek, and others.

Built for ML Engineers, AI Infra Teams, and Data Scientists deploying LLMs in real-world, high-throughput environments.

You'll learn how we:

• Slash latency with TurboLoRA and chunked speculative decoding
• Eliminate cold start delays with intelligent GPU autoscaling
• Serve multiple fine-tuned models on a single GPU with Multi-LoRA
• Run fully optimized inference inside your VPC

Who is this for:

AI practitioners, ML engineers, technical leaders, and data scientists looking to maximize model performance with minimal data requirements.