> This page is for version 1.10.1 (default).
> For other versions, use one of these documentation indexes:
> - 1.10.1 (default): https://docs.nvidia.com/nim/llama-3-1-nemoguard-8b-topiccontrol/1.10.1/llms.txt
> - 1.0.0: https://docs.nvidia.com/nim/llama-3-1-nemoguard-8b-topiccontrol/1.0.0/llms.txt

> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/nim/llama-3-1-nemoguard-8b-topiccontrol/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nim/llama-3-1-nemoguard-8b-topiccontrol/_mcp/server.

# Release Notes

> This is the first release of Llama 3.1 NemoGuard 8B TopicControl NIM. The microservice serves a GPU-accelerated LLM model for conversational dialog moderation to keep conversations on-topic and build

## v1.10.1

### Features

* The model context length increases from 8 K tokens to 128 K tokens.
* This release adds support for NVIDIA B200 and H200 GPUs.
* This release adds generic vLLM model profiles. These profiles avoid the high host memory and GPU requirements needed to build a local engine on first run. See the [model profiles](./support-matrix#nvidia-llama-31-nemoguard-8b-topicguard-model-profiles).

## v1.0.0

### Features

This is the first release of Llama 3.1 NemoGuard 8B TopicControl NIM.
The microservice serves a GPU-accelerated LLM model for conversational dialog moderation to keep conversations on-topic and build trustworthy LLM applications.

### Known Issues

* The tensor parallel 4 GPU model profiles are not runnable. This is a known issue.