Dynamo

Detailed Introduction

NVIDIA Dynamo is a high-throughput, low-latency inference framework designed for serving generative AI and reasoning models in multi-node distributed environments. It is built in Rust for performance and in Python for extensibility, making it fully open-source and driven by a transparent, OSS (Open Source Software) first development approach.

Key Features:

• Inference Engine Agnostic: Supports various backends like TRT-LLM, vLLM, and SGLang.
• Dynamic GPU Scheduling: Optimizes performance based on fluctuating demand.
• LLM-aware Request Routing: Eliminates unnecessary KV cache re-computation.
• Accelerated Data Transfer: Reduces inference response time using NIXL.
• KV Cache Offloading: Leverages multiple memory hierarchies for higher system throughput.
• OpenAI Compatible Frontend: High-performance HTTP API server written in Rust.

Benefits:

• Designed for high throughput and low latency, making it suitable for real-time applications.
• Fully open-source, allowing for community contributions and transparency.
• Supports local development and deployment in Kubernetes, enhancing flexibility.

Highlights:

• Built for modern AI workloads, particularly generative models.
• Extensive documentation and community support available.