dynamo.nixl_connect.RdmaMetadata — NVIDIA Dynamo Documentation
Title: dynamo.nixl_connect.RdmaMetadata — NVIDIA Dynamo Documentation
Published Time: Tue, 14 Oct 2025 16:26:11 GMT
Markdown Content: Skip to main content
Back to top- [x] - [x]
Ctrl+K
Search Ctrl+K
Search Ctrl+K
Table of Contents
Getting Started
Kubernetes Deployment
- Quickstart (K8s)
- Detailed Installation Guide
- Dynamo Operator
- Metrics
- Logging
- Multinode
- Minikube Setup
Components
Developer Guide
-
dynamo.nixl_...
dynamo.nixl_connect.RdmaMetadata#
A Pydantic type intended to provide JSON serialized NIXL metadata about a ReadableOperation or WritableOperation object. NIXL metadata contains detailed information about a worker process and how to access memory regions registered with the corresponding agent. This data is required to perform data transfers using the NIXL-based I/O subsystem.
Warning
NIXL metadata contains information to connect corresponding backends across agents, as well as identification keys to access specific registered memory regions. This data provides direct memory access between workers, and should be considered sensitive and therefore handled accordingly.
Use the respective class’s .metadata() method to generate an RdmaMetadata object for an operation.
Tip
Classes using RdmaMetadata objects must be paired correctly. ReadableOperation with ReadOperation, and WritableOperation with WriteOperation. Incorrect pairing will result in an error being raised.
Related Classes#
On this page
Privacy Policy | Manage My Privacy | Do Not Sell or Share My Data | Terms of Service | Accessibility | Corporate Policies | Product Security | Contact
Copyright © 2024-2025, NVIDIA CORPORATION & AFFILIATES.
Links/Buttons:
- Skip to main content
- document.write(
<img src="../../_static/nvidia-logo-horiz-rgb-wht-for-screen.svg" class="logo__image only-dark" alt="NVIDIA Dynamo Documentation - Home"/>); NVIDIA Dynamo Documentation - GitHub
- Installation
- Support Matrix
- Architecture
- Disaggregated Serving
- Examples
- Quickstart (K8s)
- Detailed Installation Guide
- Dynamo Operator
- Metrics
- Logging
- Multinode
- Minikube Setup
- Backends
- vLLM
- SGLang
- TensorRT-LLM
- Router
- Planner
- Pre-Deployment Profiling
- Load-based Planner
- SLA-based Planner
- KVBM
- Motivation
- KVBM Architecture
- Understanding KVBM components
- KVBM Further Reading
- LMCache Integration
- Dynamo Benchmarking Guide
- Planner Benchmark Example
- Health Checks
- Tuning Disaggregated Serving Performance
- Writing Python Workers in Dynamo
- Glossary
- #
- ReadableOperation
- WritableOperation
- ReadOperation
- Connector
- Descriptor
- Device
- OperationStatus
- Privacy Policy
- Manage My Privacy
- Do Not Sell or Share My Data
- Terms of Service
- Accessibility
- Corporate Policies
- Product Security
- Contact