From 5745677718dbd943728354d2dd3057ac13db4832 Mon Sep 17 00:00:00 2001
From: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Date: Wed, 1 Oct 2025 17:04:46 -0700
Subject: [PATCH] Adding Docker support

---
 README.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/README.md b/README.md
index 47543e4097..a0f8c445fa 100644
--- a/README.md
+++ b/README.md
@@ -50,6 +50,7 @@ Use our official [Unsloth Docker image](https://hub.docker.com/r/unsloth/unsloth
 For RTX 50x, B200, 6000 GPUs, simply do `pip install unsloth`. Read our [Blackwell Guide](https://docs.unsloth.ai/basics/training-llms-with-blackwell-rtx-50-series-and-unsloth) for more details.
 
 ## 🦥 Unsloth.ai News
+- 📣 **Docker**: Use Unsloth with no setup & environment issues with our new image. [Guide](https://docs.unsloth.ai/new/how-to-train-llms-with-unsloth-and-docker) • [Docker image](https://hub.docker.com/r/unsloth/unsloth)
 - 📣 **gpt-oss RL**: Introducing the fastest possible inference for gpt-oss RL! [Read blog](https://docs.unsloth.ai/new/gpt-oss-reinforcement-learning)
 - 📣 **Vision RL**: You can now train VLMs with GRPO or GSPO in Unsloth! [Read guide](https://docs.unsloth.ai/new/vision-reinforcement-learning-vlm-rl)
 - 📣 **Memory-efficient RL**: We're introducing even better RL. Our new kernels & algos allows faster RL with 50% less VRAM & 10× more context. [Read blog](https://docs.unsloth.ai/new/memory-efficient-rl)