diff --git a/README.md b/README.md
index 1fb158b191..d45e98f3e7 100644
--- a/README.md
+++ b/README.md
@@ -12,6 +12,44 @@
\[English\] | [简体中文](https://github.com/blakeblackshear/frigate/blob/dev/README_CN.md)
+---
+
+
+
+ 
+
+
+
+
+ Atlas Cloud is an OpenAI-compatible inference platform that can power Frigate's
+ Generative AI features as a drop-in multimodal LLM backend.
+ Point the atlas provider at Atlas Cloud and use a vision-capable model
+ (such as qwen/qwen3-vl-235b-a22b-thinking or Qwen/Qwen3-VL-235B-A22B-Instruct)
+ to generate natural-language object and review descriptions from detection frames —
+ no local GPU required. See the GenAI configuration docs
+ to get started, or grab a coding plan.
+
+
+
+Vision-capable Atlas Cloud models for GenAI descriptions
+
+Frigate's GenAI features require a **vision-capable** model. Good multimodal choices on Atlas Cloud include:
+
+- `qwen/qwen3-vl-235b-a22b-thinking`
+- `Qwen/Qwen3-VL-235B-A22B-Instruct`
+- `qwen/qwen3-vl-30b-a3b-instruct`
+- `qwen/qwen3-vl-30b-a3b-thinking`
+- `qwen/qwen3-vl-8b-instruct`
+- `google/gemini-3.5-flash`
+- `google/gemini-3.1-pro-preview`
+
+The full, always-current model catalog is available at the
+[Atlas Cloud console](https://www.atlascloud.ai/console).
+
+
+
+---
+
A complete and local NVR designed for [Home Assistant](https://www.home-assistant.io) with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.
Use of a GPU or AI accelerator is highly recommended. AI accelerators will outperform even the best CPUs with very little overhead. See Frigate's supported [object detectors](https://docs.frigate.video/configuration/object_detectors/).
diff --git a/README_CN.md b/README_CN.md
index 62df77b5c9..669839659a 100644
--- a/README_CN.md
+++ b/README_CN.md
@@ -12,6 +12,43 @@
[](https://opensource.org/licenses/MIT)
+---
+
+
+
+
+
+
+
+
+ Atlas Cloud 是一个兼容 OpenAI 接口的推理平台，可作为即插即用的多模态 LLM 后端，
+ 为 Frigate 的生成式 AI（Generative AI）功能提供算力支持。
+ 只需将 atlas provider 指向 Atlas Cloud，并选用一个支持视觉的模型
+ （例如 qwen/qwen3-vl-235b-a22b-thinking 或 Qwen/Qwen3-VL-235B-A22B-Instruct），
+ 即可基于检测帧画面生成自然语言的物体描述与审查摘要，无需本地 GPU。
+ 请参阅 GenAI 配置文档开始使用，
+ 或了解 coding plan。
+
+
+
+适合做 GenAI 描述的 Atlas Cloud 多模态模型
+
+Frigate 的 GenAI 功能要求使用**支持视觉**的模型。Atlas Cloud 上推荐的多模态模型包括：
+
+- `qwen/qwen3-vl-235b-a22b-thinking`
+- `Qwen/Qwen3-VL-235B-A22B-Instruct`
+- `qwen/qwen3-vl-30b-a3b-instruct`
+- `qwen/qwen3-vl-30b-a3b-thinking`
+- `qwen/qwen3-vl-8b-instruct`
+- `google/gemini-3.5-flash`
+- `google/gemini-3.1-pro-preview`
+
+完整且实时更新的模型列表请见 [Atlas Cloud 控制台](https://www.atlascloud.ai/console)。
+
+
+
+---
+
一个完整的本地网络视频录像机（NVR），专为[Home Assistant](https://www.home-assistant.io)设计，具备 AI 目标/物体检测功能。使用 OpenCV 和 TensorFlow 在本地为 IP 摄像头执行实时物体检测。
强烈推荐使用 GPU 或者 AI 加速器（例如[Google Coral 加速器](https://coral.ai/products/) 或者 [Hailo](https://hailo.ai/)等）。它们的运行效率远远高于现在的顶级 CPU，并且功耗也极低。
diff --git a/docs/docs/configuration/genai/config.md b/docs/docs/configuration/genai/config.md
index 9f396d3ccc..2f44962f04 100644
--- a/docs/docs/configuration/genai/config.md
+++ b/docs/docs/configuration/genai/config.md
@@ -386,3 +386,44 @@ genai:
+
+### Atlas Cloud
+
+[Atlas Cloud](https://www.atlascloud.ai/?utm_source=github&utm_medium=link&utm_campaign=frigate) is an OpenAI-compatible inference platform that serves a range of vision-capable models, so it can act as a drop-in multimodal backend for Frigate's Generative AI features. The `atlas` provider defaults its base URL to the Atlas Cloud endpoint, so a minimal config only needs your API key and a model.
+
+#### Supported Models
+
+You must use a vision capable model with Frigate. Recommended multimodal models on Atlas Cloud include `qwen/qwen3-vl-235b-a22b-thinking`, `Qwen/Qwen3-VL-235B-A22B-Instruct`, `qwen/qwen3-vl-30b-a3b-instruct`, and `google/gemini-3.5-flash`. The full, always-current catalog is available in the [Atlas Cloud console](https://www.atlascloud.ai/console).
+
+#### Get API Key
+
+To start using Atlas Cloud, create an API key from the [Atlas Cloud console](https://www.atlascloud.ai/console/api-keys).
+
+#### Configuration
+
+
+
+
+1. Navigate to .
+ - Set **Provider** to `atlas`
+ - Set **API key** to your Atlas Cloud API key (or use an environment variable such as `{FRIGATE_ATLAS_API_KEY}`)
+ - Set **Model** to a vision-capable model (e.g., `qwen/qwen3-vl-235b-a22b-thinking`)
+
+
+
+
+```yaml
+genai:
+ provider: atlas
+ api_key: "{FRIGATE_ATLAS_API_KEY}"
+ model: qwen/qwen3-vl-235b-a22b-thinking
+```
+
+
+
+
+:::note
+
+The `atlas` provider points to `https://api.atlascloud.ai/v1` by default. To target a different OpenAI-compatible endpoint, set `base_url` explicitly.
+
+:::
diff --git a/docs/static/img/branding/atlas-cloud-logo.png b/docs/static/img/branding/atlas-cloud-logo.png
new file mode 100644
index 0000000000..780a47698c
Binary files /dev/null and b/docs/static/img/branding/atlas-cloud-logo.png differ
diff --git a/frigate/config/camera/genai.py b/frigate/config/camera/genai.py
index 5b94755723..71911b0550 100644
--- a/frigate/config/camera/genai.py
+++ b/frigate/config/camera/genai.py
@@ -12,6 +12,7 @@ __all__ = ["GenAIConfig", "GenAIProviderEnum", "GenAIRoleEnum"]
class GenAIProviderEnum(str, Enum):
openai = "openai"
azure_openai = "azure_openai"
+ atlas = "atlas"
gemini = "gemini"
ollama = "ollama"
llamacpp = "llamacpp"
diff --git a/frigate/genai/plugins/atlas.py b/frigate/genai/plugins/atlas.py
new file mode 100644
index 0000000000..dc1d78bb31
--- /dev/null
+++ b/frigate/genai/plugins/atlas.py
@@ -0,0 +1,71 @@
+"""Atlas Cloud Provider for Frigate AI.
+
+Atlas Cloud (https://www.atlascloud.ai) is an OpenAI-compatible inference
+platform that serves a range of vision-capable models. Because its chat
+completions API follows the OpenAI standard, this provider inherits all
+transport, vision, streaming, reasoning, and tool-calling logic from
+:class:`OpenAIClient` and only overrides what is Atlas-specific:
+
+- Client construction: defaults ``base_url`` to the Atlas Cloud endpoint
+ when the user has not set one explicitly, so a minimal config (provider +
+ api_key + model) works out of the box. A user-supplied ``base_url`` still
+ takes precedence.
+- Context size: the Atlas ``/models`` endpoint does not reliably surface a
+ per-model context window, so we fall back to a conservative default rather
+ than the model-name heuristic used by OpenAI. It can be overridden via
+ ``provider_options.context_size``.
+"""
+
+import logging
+from typing import Optional
+
+from openai import OpenAI
+
+from frigate.config import GenAIProviderEnum
+from frigate.genai import register_genai_provider
+from frigate.genai.plugins.openai import OpenAIClient
+
+logger = logging.getLogger(__name__)
+
+DEFAULT_BASE_URL = "https://api.atlascloud.ai/v1"
+
+# Atlas serves large-context models, but its model listing does not expose a
+# per-model context window; default conservatively and let users override via
+# provider_options.context_size when they know their model's window.
+DEFAULT_CONTEXT_SIZE = 32000
+
+
+@register_genai_provider(GenAIProviderEnum.atlas)
+class AtlasClient(OpenAIClient):
+ """Generative AI client for Frigate using Atlas Cloud."""
+
+ def _init_provider(self) -> OpenAI:
+ """Initialize the OpenAI client pointed at Atlas Cloud.
+
+ Defaults ``base_url`` to the Atlas endpoint when the user has not set
+ one, then defers to the OpenAI implementation for everything else.
+ """
+ if not self.genai_config.base_url:
+ self.genai_config.base_url = DEFAULT_BASE_URL
+
+ return super()._init_provider()
+
+ def get_context_size(self) -> int:
+ """Return the context window for Atlas models.
+
+ A manually specified ``context_size`` in ``provider_options`` always
+ wins; otherwise fall back to a conservative default since Atlas does
+ not reliably surface per-model context windows.
+ """
+ if self.context_size is not None:
+ return self.context_size
+
+ provider_context_size: Optional[int] = self.genai_config.provider_options.get(
+ "context_size"
+ )
+ if provider_context_size is not None:
+ self.context_size = provider_context_size
+ return self.context_size
+
+ self.context_size = DEFAULT_CONTEXT_SIZE
+ return self.context_size