> This page is for version v0.8.0.
> For other versions, use one of these documentation indexes:
> - Latest (v1.5.1) (default): https://docs.nvidia.com/dynamo/latest/llms.txt
> - dev: https://docs.nvidia.com/dynamo/dev/llms.txt
> - v1.5.1: https://docs.nvidia.com/dynamo/v1.5.1/llms.txt
> - v1.5.0: https://docs.nvidia.com/dynamo/v1.5.0/llms.txt
> - v1.4.2: https://docs.nvidia.com/dynamo/v1.4.2/llms.txt
> - v1.4.1: https://docs.nvidia.com/dynamo/v1.4.1/llms.txt
> - v1.4.0: https://docs.nvidia.com/dynamo/v1.4.0/llms.txt
> - v1.3.0: https://docs.nvidia.com/dynamo/v1.3.0/llms.txt
> - v1.2.1: https://docs.nvidia.com/dynamo/v1.2.1/llms.txt
> - v1.2.0: https://docs.nvidia.com/dynamo/v1.2.0/llms.txt
> - v1.1.1: https://docs.nvidia.com/dynamo/v1.1.1/llms.txt
> - v1.1.0: https://docs.nvidia.com/dynamo/v1.1.0/llms.txt
> - v1.0.2: https://docs.nvidia.com/dynamo/v1.0.2/llms.txt
> - v1.0.1: https://docs.nvidia.com/dynamo/v1.0.1/llms.txt
> - v1.0.0: https://docs.nvidia.com/dynamo/v1.0.0/llms.txt
> - v0.9.1: https://docs.nvidia.com/dynamo/v-0-9-1/llms.txt
> - v0.9.0: https://docs.nvidia.com/dynamo/v-0-9-0/llms.txt
> - v0.8.1: https://docs.nvidia.com/dynamo/v-0-8-1/llms.txt
> - v0.8.0: https://docs.nvidia.com/dynamo/v-0-8-0/llms.txt
> - v0.7.1: https://docs.nvidia.com/dynamo/v-0-7-1/llms.txt
> - v0.7.0: https://docs.nvidia.com/dynamo/v-0-7-0/llms.txt

> For clean Markdown content of this page, append .md to this URL. For the complete documentation index, see https://docs.nvidia.com/dynamo/llms.txt. For full content including API reference and SDK examples, see https://docs.nvidia.com/dynamo/llms-full.txt.

# KV Block Manager

The Dynamo KV Block Manager (KVBM) is a scalable runtime component designed to handle memory allocation, management, and remote sharing of Key-Value (KV) blocks for inference tasks across heterogeneous and distributed environments. It acts as a unified memory layer for frameworks like vLLM, SGLang, and TRT-LLM.

It offers:

* A **unified memory API** that spans GPU memory (in future), pinned host memory, remote RDMA-accessible memory, local or distributed pool of SSDs and remote file/object/cloud storage systems.
* Support for evolving **block lifecycles** (allocate → register → match) with event-based state transitions that storage can subscribe to.
* Integration with **NIXL**, a dynamic memory exchange layer used for remote registration, sharing, and access of memory blocks over RDMA/NVLink.

The Dynamo KV Block Manager serves as a reference implementation that emphasizes modularity and extensibility. Its pluggable design enables developers to customize components and optimize for specific performance, memory, and deployment needs.

## Feature Support Matrix

| Category | Status | Feature |
|----------|--------|---------|
| **Backend** | ✅ | Local |
| | ✅ | Kubernetes |
| **LLM Framework** | ✅ | vLLM |
| | ✅ | TensorRT-LLM |
| | ❌ | SGLang |
| **Serving Type** | ✅ | Aggregated |
| | ✅ | Disaggregated |