Update README.md

README.md

@@ -1,70 +1,274 @@
 ---
 title: README
-emoji: 🌍
-colorFrom: pink
-colorTo: red
+emoji: 🌐
+colorFrom: blue
+colorTo: indigo
 sdk: static
 pinned: false
 ---
+
 ![Hugging Face x Google Cloud](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/google-cloud/thumbnail.png)
 
-*Welcome to the official Google organization on Hugging Face\!*
-
-[Google collaborates with Hugging Face](https://huggingface.co/blog/gcp-partnership) across open science, open source, cloud, and hardware to **enable companies to innovate with AI** [on Google Cloud AI services and infrastructure with the Hugging Face ecosystem](https://huggingface.co/docs/google-cloud/main/en/index).
-
-## Featured Models and Tools
-
-* **Gemma Family of Open Multimodal Models**  
-  * **Gemma** is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models  
-  * **PaliGemma** is a versatile and lightweight vision-language model (VLM)   
-  * **CodeGemma** is a collection of lightweight open code models built on top of Gemma  
-  * **RecurrentGemma** is a family of open language models built on a novel recurrent architecture developed at Google  
-  * **ShieldGemma** is a series of safety content moderation models built upon Gemma 2 that target four harm categories
-* [**Health AI Developer Foundations**](https://huggingface.co/collections/google/health-ai-developer-foundations-hai-def-6744dc060bc19b6cf631bb0f)
-  * [**MedGemma**](https://huggingface.co/collections/google/medgemma-release-680aade845f90bec6a3f60c4) A collection of open models for medical image and text comprehension to accelerate building healthcare-based AI applications
-  * [**MedASR**](https://huggingface.co/google/medasr) A lightweight automatic speech recognition model pre-trained for medical context.
-  * [**MedSigLIP**](https://huggingface.co/google/medsiglip-448) MedGemma's vision encoder; can be used like other embedding models for predictive tasks. 
-  * [**TxGemma**](https://huggingface.co/collections/google/txgemma-release-67dd92e931c857d15e4d1e87) A collection of open models to accelerate the development of therapeutics
-  * **HeAR** ([TensorFlow](https://huggingface.co/google/hear), [PyTorch](https://huggingface.co/google/hear-pytorch)) An embedding model for efficiently building AI related to audio originating from the respiratory system
-  * [**Path Foundation**](https://huggingface.co/google/path-foundation) An embedding model for efficiently building AI for histopathology applications
-* **[**BERT**](https://huggingface.co/collections/google/bert-release-64ff5e7a4be99045d1896dbc), [**T5**](https://huggingface.co/collections/google/t5-release-65005e7c520f8d7b4d037918), and [**TimesFM**](https://github.com/google-research/timesfm) Model Families**
-* **Author ML models with [**MaxText**](https://github.com/google/maxtext), [**JAX**](https://github.com/google/jax), [**Keras**](https://github.com/keras-team/keras), [**Tensorflow**](https://github.com/tensorflow/tensorflow), and [**PyTorch/XLA**](https://github.com/pytorch/xla)**
-* **[**SynthID**](https://deepmind.google/technologies/synthid/)** is a Google DeepMind technology that watermarks and identifies AI-generated content ([🤗 Space](https://huggingface.co/spaces/google/synthid-text))
-
-## Open Research and Community Resources
-
-* **Google Blogs**:  
-  * [https://blog.google/](https://blog.google/)  
-  * [https://cloud.google.com/blog/](https://cloud.google.com/blog/)  
-  * [https://deepmind.google/discover/blog/](https://deepmind.google/discover/blog/)  
-  * [https://developers.google.com/learn?category=aiandmachinelearning](https://developers.google.com/learn?category=aiandmachinelearning)
-  * [https://research.google/blog/](https://research.google/blog/)   
-* **Notable GitHub Repositories**:  
-  * [https://github.com/google/jax](https://github.com/google/jax) is a Python library for high-performance numerical computing and machine learning  
-  * [https://github.com/huggingface/Google-Cloud-Containers](https://github.com/huggingface/Google-Cloud-Containers) facilitate the training and deployment of Hugging Face models on Google Cloud  
-  * [https://github.com/pytorch/xla](https://github.com/pytorch/xla) enables PyTorch on XLA Devices (e.g. Google TPU)  
-  * [https://github.com/huggingface/optimum-tpu](https://github.com/huggingface/optimum-tpu) brings the power of TPUs to your training and inference stack  
-  * [https://github.com/openxla/xla](https://github.com/openxla/xla) is a machine learning compiler for GPUs, CPUs, and ML accelerators  
-  * [https://github.com/google/JetStream](https://github.com/google/JetStream) (and [https://github.com/google/jetstream-pytorch](https://github.com/google/jetstream-pytorch)) is a throughput and memory optimized engine for large language model (LLM) inference on XLA devices  
-  * [https://github.com/google/flax](https://github.com/google/flax) is a neural network library for JAX that is designed for flexibility  
-  * [https://github.com/kubernetes-sigs/lws](https://github.com/kubernetes-sigs/lws) facilitates Kubernetes deployment patterns for AI/ML inference workloads, especially multi-host inference workloads  
-  * [https://gke-ai-labs.dev/](https://gke-ai-labs.dev/) is a collection of AI examples, best-practices, and prebuilt solutions  
-* **Google Research Papers**: [https://research.google/](https://research.google/) 
-
-## On-device ML using [Google AI Edge](http://ai.google.dev/edge)
-
-* Customize and run common ML Tasks with low-code [MediaPipe Solutions](https://ai.google.dev/edge/mediapipe/solutions/guide)  
-* Run [pretrained](https://ai.google.dev/edge/litert/models/trained) or custom models on-device with [Lite RT (previously known as TensorFlow Lite)](https://ai.google.dev/edge/lite)  
-* Convert [TensorFlow](https://ai.google.dev/edge/lite/models/convert_tf) and [JAX](https://ai.google.dev/edge/lite/models/convert_jax) models to LiteRT  
-* Convert PyTorch models to LiteRT and author high performance on-device LLMs with [AI Edge Torch](https://github.com/google-ai-edge/ai-edge-torch)  
-* Visualize and debug models with [Model Explorer](https://ai.google.dev/edge/model-explorer) ([🤗 Space](https://huggingface.co/spaces/google/model-explorer))
-
-## Partnership Highlights and Resources
-
-* Select Google Cloud CPU, GPU, or TPU options when setting up your **Hugging Face [**Inference Endpoints**](https://huggingface.co/blog/tpu-inference-endpoints-spaces) and Spaces**  
-* **Train and Deploy Hugging Face models** on Google Kubernetes Engine (GKE) and Vertex AI **directly from Hugging Face model landing pages or from Google Cloud Model Garden**  
-* **Integrate [**Colab**](https://colab.research.google.com/) notebooks with Hugging Face Hub** via the [HF\_TOKEN secret manager integration](https://huggingface.co/docs/huggingface_hub/v0.23.3/en/quick-start#environment-variable) and transformers/huggingface\_hub pre-installs  
-* Leverage [**Hugging Face Deep Learning Containers (DLCs)**](https://cloud.google.com/deep-learning-containers/docs/choosing-container#hugging-face) for easy training and deployment of Hugging Face models on Google Cloud infrastructure
-* Run optimized, zero-configuration inference microservices with [**Hugging Face Generative AI Services (HUGS) via the Google Cloud Marketplace**](https://huggingface.co/docs/hugs/how-to/cloud/gcp)
-
-Read about our principles for responsible AI at [https://ai.google/responsibility/principles](https://ai.google/responsibility/principles/)
+<div class="text-center text-sm font-medium text-gray-600 dark:text-gray-400 my-4">
+  <a href="https://research.google/" class="text-blue-600 dark:text-blue-400 hover:underline">Google Research Papers</a>
+  <span class="mx-2 text-gray-300 dark:text-gray-700">|</span>
+  <a href="https://ai.google/responsibility/principles/" class="text-blue-600 dark:text-blue-400 hover:underline">Responsible AI Principles</a>
+  <span class="mx-2 text-gray-300 dark:text-gray-700">|</span>
+  <a href="https://blog.google/" class="text-blue-600 dark:text-blue-400 hover:underline">Google Blog</a>
+  <span class="mx-2 text-gray-300 dark:text-gray-700">|</span>
+  <a href="https://cloud.google.com/blog/" class="text-blue-600 dark:text-blue-400 hover:underline">Google Cloud Blog</a>
+  <span class="mx-2 text-gray-300 dark:text-gray-700">|</span>
+  <a href="https://deepmind.google/discover/blog/" class="text-blue-600 dark:text-blue-400 hover:underline">Google DeepMind Blog</a>
+  <span class="mx-2 text-gray-300 dark:text-gray-700">|</span>
+  <a href="https://developers.google.com/learn?category=aiandmachinelearning" class="text-blue-600 dark:text-blue-400 hover:underline">Google AI/ML Developers</a>
+  <span class="mx-2 text-gray-300 dark:text-gray-700">|</span>
+  <a href="https://research.google/blog/" class="text-blue-600 dark:text-blue-400 hover:underline">Google Research Blog</a>
+</div>
+
+# Google on Hugging Face
+
+Welcome to the official **Google** organization on Hugging Face. [Google collaborates with Hugging Face](https://huggingface.co/blog/gcp-partnership) across open science, open source, cloud, and hardware to enable enterprises and developers to innovate with AI [on Google Cloud AI services and infrastructure with the Hugging Face ecosystem](https://huggingface.co/docs/google-cloud/main/en/index).
+
+<!-- SECTION 1: FEATURED MODELS AND TOOLS -->
+<div class="mt-14 mb-6 border-b border-gray-200 dark:border-gray-800 pb-3">
+  <h2 class="text-xl md:text-2xl font-bold tracking-tight text-gray-900 dark:text-gray-100 m-0">
+    Featured Models and Tools
+  </h2>
+</div>
+
+<div class="grid grid-cols-1 sm:grid-cols-2 md:grid-cols-3 gap-4 my-6">
+  <a href="https://huggingface.co/collections/google/gemma-4" class="block p-5 rounded-xl border border-gray-200 dark:border-gray-800 hover:border-[#4285F4] dark:hover:border-[#4285F4] hover:bg-gray-50/60 dark:hover:bg-gray-900/40 transition-all no-underline group" style="border-top: 3px solid #4285F4;">
+    <div class="font-semibold text-lg text-gray-900 dark:text-gray-100 group-hover:text-[#4285F4] transition-colors">
+      Gemma Family of Open Models
+    </div>
+    <p class="text-sm text-gray-600 dark:text-gray-400 mt-2 mb-0 leading-relaxed">
+      Open multimodal and language models built from Gemini research, including Gemma, PaliGemma, CodeGemma, RecurrentGemma, and ShieldGemma.
+    </p>
+  </a>
+
+  <a href="https://huggingface.co/collections/google/bert-release-64ff5e7a4be99045d1896dbc" class="block p-5 rounded-xl border border-gray-200 dark:border-gray-800 hover:border-[#34A853] dark:hover:border-[#34A853] hover:bg-gray-50/60 dark:hover:bg-gray-900/40 transition-all no-underline group" style="border-top: 3px solid #34A853;">
+    <div class="font-semibold text-lg text-gray-900 dark:text-gray-100 group-hover:text-[#34A853] transition-colors">
+      BERT Release Collection
+    </div>
+    <p class="text-sm text-gray-600 dark:text-gray-400 mt-2 mb-0 leading-relaxed">
+      Pioneering bidirectional encoder representations from transformers for natural language understanding.
+    </p>
+  </a>
+
+  <a href="https://huggingface.co/collections/google/t5-release-65005e7c520f8d7b4d037918" class="block p-5 rounded-xl border border-gray-200 dark:border-gray-800 hover:border-[#FBBC04] dark:hover:border-[#FBBC04] hover:bg-gray-50/60 dark:hover:bg-gray-900/40 transition-all no-underline group" style="border-top: 3px solid #FBBC04;">
+    <div class="font-semibold text-lg text-gray-900 dark:text-gray-100 group-hover:text-[#FBBC04] transition-colors">
+      T5 Release Collection
+    </div>
+    <p class="text-sm text-gray-600 dark:text-gray-400 mt-2 mb-0 leading-relaxed">
+      Text-to-Text Transfer Transformer models for unified natural language processing tasks.
+    </p>
+  </a>
+
+  <a href="https://github.com/google-research/timesfm" class="block p-5 rounded-xl border border-gray-200 dark:border-gray-800 hover:border-[#EA4335] dark:hover:border-[#EA4335] hover:bg-gray-50/60 dark:hover:bg-gray-900/40 transition-all no-underline group" style="border-top: 3px solid #EA4335;">
+    <div class="font-semibold text-lg text-gray-900 dark:text-gray-100 group-hover:text-[#EA4335] transition-colors">
+      TimesFM Foundation Model
+    </div>
+    <p class="text-sm text-gray-600 dark:text-gray-400 mt-2 mb-0 leading-relaxed">
+      A pretrained time-series foundation model for time-series forecasting.
+    </p>
+  </a>
+
+  <a href="https://huggingface.co/collections/google/health-ai-developer-foundations-hai-def-6744dc060bc19b6cf631bb0f" class="block p-5 rounded-xl border border-gray-200 dark:border-gray-800 hover:border-[#4285F4] dark:hover:border-[#4285F4] hover:bg-gray-50/60 dark:hover:bg-gray-900/40 transition-all no-underline group" style="border-top: 3px solid #4285F4;">
+    <div class="font-semibold text-lg text-gray-900 dark:text-gray-100 group-hover:text-[#4285F4] transition-colors">
+      Health AI Foundations
+    </div>
+    <p class="text-sm text-gray-600 dark:text-gray-400 mt-2 mb-0 leading-relaxed">
+      Open models for medical image and clinical text comprehension to accelerate healthcare applications.
+    </p>
+  </a>
+
+  <a href="https://deepmind.google/technologies/synthid/" class="block p-5 rounded-xl border border-gray-200 dark:border-gray-800 hover:border-[#34A853] dark:hover:border-[#34A853] hover:bg-gray-50/60 dark:hover:bg-gray-900/40 transition-all no-underline group" style="border-top: 3px solid #34A853;">
+    <div class="font-semibold text-lg text-gray-900 dark:text-gray-100 group-hover:text-[#34A853] transition-colors">
+      SynthID Technology
+    </div>
+    <p class="text-sm text-gray-600 dark:text-gray-400 mt-2 mb-0 leading-relaxed">
+      Google DeepMind technology that watermarks and identifies AI-generated content across text, audio, image, and video.
+    </p>
+  </a>
+</div>
+
+<!-- SECTION 2: ON-DEVICE ML WITH GOOGLE AI EDGE -->
+<div class="mt-14 mb-6 border-b border-gray-200 dark:border-gray-800 pb-3">
+  <h2 class="text-xl md:text-2xl font-bold tracking-tight text-gray-900 dark:text-gray-100 m-0">
+    On-Device ML with Google AI Edge
+  </h2>
+</div>
+
+On-device machine learning using Google AI Edge:
+
+<div class="grid grid-cols-1 sm:grid-cols-2 md:grid-cols-4 gap-4 my-6">
+  <a href="http://ai.google.dev/edge" class="block p-5 rounded-xl border border-gray-200 dark:border-gray-800 hover:border-[#4285F4] dark:hover:border-[#4285F4] hover:bg-gray-50/60 dark:hover:bg-gray-900/40 transition-all no-underline group" style="border-top: 3px solid #4285F4;">
+    <div class="font-semibold text-gray-900 dark:text-gray-100 group-hover:text-[#4285F4] transition-colors">Google AI Edge</div>
+    <p class="text-sm text-gray-600 dark:text-gray-400 mt-2 mb-0 leading-relaxed">
+      On-device machine learning using Google AI Edge tools, runtimes, and documentation.
+    </p>
+  </a>
+
+  <a href="https://ai.google.dev/edge/mediapipe/solutions/guide" class="block p-5 rounded-xl border border-gray-200 dark:border-gray-800 hover:border-[#34A853] dark:hover:border-[#34A853] hover:bg-gray-50/60 dark:hover:bg-gray-900/40 transition-all no-underline group" style="border-top: 3px solid #34A853;">
+    <div class="font-semibold text-gray-900 dark:text-gray-100 group-hover:text-[#34A853] transition-colors">MediaPipe Solutions</div>
+    <p class="text-sm text-gray-600 dark:text-gray-400 mt-2 mb-0 leading-relaxed">
+      Low-code frameworks and customizable solutions for common vision and audio tasks.
+    </p>
+  </a>
+
+  <a href="https://ai.google.dev/edge/lite" class="block p-5 rounded-xl border border-gray-200 dark:border-gray-800 hover:border-[#FBBC04] dark:hover:border-[#FBBC04] hover:bg-gray-50/60 dark:hover:bg-gray-900/40 transition-all no-underline group" style="border-top: 3px solid #FBBC04;">
+    <div class="font-semibold text-gray-900 dark:text-gray-100 group-hover:text-[#FBBC04] transition-colors">LiteRT</div>
+    <p class="text-sm text-gray-600 dark:text-gray-400 mt-2 mb-0 leading-relaxed">
+      Run pretrained or custom models on-device with LiteRT (previously known as TensorFlow Lite).
+    </p>
+  </a>
+
+  <a href="https://github.com/google-ai-edge/ai-edge-torch" class="block p-5 rounded-xl border border-gray-200 dark:border-gray-800 hover:border-[#EA4335] dark:hover:border-[#EA4335] hover:bg-gray-50/60 dark:hover:bg-gray-900/40 transition-all no-underline group" style="border-top: 3px solid #EA4335;">
+    <div class="font-semibold text-gray-900 dark:text-gray-100 group-hover:text-[#EA4335] transition-colors">AI Edge Torch</div>
+    <p class="text-sm text-gray-600 dark:text-gray-400 mt-2 mb-0 leading-relaxed">
+      Convert PyTorch models to LiteRT and author high-performance on-device LLMs.
+    </p>
+  </a>
+
+  <a href="https://ai.google.dev/edge/model-explorer" class="block p-5 rounded-xl border border-gray-200 dark:border-gray-800 hover:border-[#4285F4] dark:hover:border-[#4285F4] hover:bg-gray-50/60 dark:hover:bg-gray-900/40 transition-all no-underline group" style="border-top: 3px solid #4285F4;">
+    <div class="font-semibold text-gray-900 dark:text-gray-100 group-hover:text-[#4285F4] transition-colors">Model Explorer</div>
+    <p class="text-sm text-gray-600 dark:text-gray-400 mt-2 mb-0 leading-relaxed">
+      Visualize model graphs and architectures with Model Explorer documentation guide.
+    </p>
+  </a>
+</div>
+
+<!-- SECTION 3: AUTHORING & HIGH-PERFORMANCE FRAMEWORKS -->
+<div class="mt-14 mb-6 border-b border-gray-200 dark:border-gray-800 pb-3">
+  <h2 class="text-xl md:text-2xl font-bold tracking-tight text-gray-900 dark:text-gray-100 m-0">
+    Authoring &amp; High-Performance Frameworks
+  </h2>
+</div>
+
+Author ML models with MaxText, JAX, Keras, TensorFlow, PyTorch/XLA, and notable open-source repositories:
+
+<div class="grid grid-cols-1 sm:grid-cols-2 md:grid-cols-4 gap-4 my-6">
+  <a href="https://github.com/google/jax" class="block p-5 rounded-xl border border-gray-200 dark:border-gray-800 hover:border-[#4285F4] dark:hover:border-[#4285F4] hover:bg-gray-50/60 dark:hover:bg-gray-900/40 transition-all no-underline group" style="border-top: 3px solid #4285F4;">
+    <div class="font-semibold text-gray-900 dark:text-gray-100 group-hover:text-[#4285F4] transition-colors">JAX</div>
+    <p class="text-sm text-gray-600 dark:text-gray-400 mt-2 mb-0 leading-relaxed">
+      High-performance numerical computing and machine learning library for accelerators.
+    </p>
+  </a>
+
+  <a href="https://github.com/google/flax" class="block p-5 rounded-xl border border-gray-200 dark:border-gray-800 hover:border-[#34A853] dark:hover:border-[#34A853] hover:bg-gray-50/60 dark:hover:bg-gray-900/40 transition-all no-underline group" style="border-top: 3px solid #34A853;">
+    <div class="font-semibold text-gray-900 dark:text-gray-100 group-hover:text-[#34A853] transition-colors">Flax</div>
+    <p class="text-sm text-gray-600 dark:text-gray-400 mt-2 mb-0 leading-relaxed">
+      Flexible neural network library for JAX designed for scale and research experimentation.
+    </p>
+  </a>
+
+  <a href="https://github.com/google/maxtext" class="block p-5 rounded-xl border border-gray-200 dark:border-gray-800 hover:border-[#FBBC04] dark:hover:border-[#FBBC04] hover:bg-gray-50/60 dark:hover:bg-gray-900/40 transition-all no-underline group" style="border-top: 3px solid #FBBC04;">
+    <div class="font-semibold text-gray-900 dark:text-gray-100 group-hover:text-[#FBBC04] transition-colors">MaxText</div>
+    <p class="text-sm text-gray-600 dark:text-gray-400 mt-2 mb-0 leading-relaxed">
+      Scalable, high-performance LLM training and inference engine written in JAX.
+    </p>
+  </a>
+
+  <a href="https://github.com/keras-team/keras" class="block p-5 rounded-xl border border-gray-200 dark:border-gray-800 hover:border-[#EA4335] dark:hover:border-[#EA4335] hover:bg-gray-50/60 dark:hover:bg-gray-900/40 transition-all no-underline group" style="border-top: 3px solid #EA4335;">
+    <div class="font-semibold text-gray-900 dark:text-gray-100 group-hover:text-[#EA4335] transition-colors">Keras</div>
+    <p class="text-sm text-gray-600 dark:text-gray-400 mt-2 mb-0 leading-relaxed">
+      Multi-backend deep learning framework for modular and flexible model authoring.
+    </p>
+  </a>
+
+  <a href="https://github.com/tensorflow/tensorflow" class="block p-5 rounded-xl border border-gray-200 dark:border-gray-800 hover:border-[#4285F4] dark:hover:border-[#4285F4] hover:bg-gray-50/60 dark:hover:bg-gray-900/40 transition-all no-underline group" style="border-top: 3px solid #4285F4;">
+    <div class="font-semibold text-gray-900 dark:text-gray-100 group-hover:text-[#4285F4] transition-colors">TensorFlow</div>
+    <p class="text-sm text-gray-600 dark:text-gray-400 mt-2 mb-0 leading-relaxed">
+      End-to-end open-source platform for machine learning and production deployment.
+    </p>
+  </a>
+
+  <a href="https://github.com/pytorch/xla" class="block p-5 rounded-xl border border-gray-200 dark:border-gray-800 hover:border-[#34A853] dark:hover:border-[#34A853] hover:bg-gray-50/60 dark:hover:bg-gray-900/40 transition-all no-underline group" style="border-top: 3px solid #34A853;">
+    <div class="font-semibold text-gray-900 dark:text-gray-100 group-hover:text-[#34A853] transition-colors">PyTorch/XLA</div>
+    <p class="text-sm text-gray-600 dark:text-gray-400 mt-2 mb-0 leading-relaxed">
+      Enable PyTorch models and training workloads on Google TPUs and XLA devices.
+    </p>
+  </a>
+
+  <a href="https://github.com/openxla/xla" class="block p-5 rounded-xl border border-gray-200 dark:border-gray-800 hover:border-[#FBBC04] dark:hover:border-[#FBBC04] hover:bg-gray-50/60 dark:hover:bg-gray-900/40 transition-all no-underline group" style="border-top: 3px solid #FBBC04;">
+    <div class="font-semibold text-gray-900 dark:text-gray-100 group-hover:text-[#FBBC04] transition-colors">OpenXLA</div>
+    <p class="text-sm text-gray-600 dark:text-gray-400 mt-2 mb-0 leading-relaxed">
+      Open-source machine learning compiler for GPUs, CPUs, and accelerators.
+    </p>
+  </a>
+
+  <a href="https://github.com/huggingface/optimum-tpu" class="block p-5 rounded-xl border border-gray-200 dark:border-gray-800 hover:border-[#EA4335] dark:hover:border-[#EA4335] hover:bg-gray-50/60 dark:hover:bg-gray-900/40 transition-all no-underline group" style="border-top: 3px solid #EA4335;">
+    <div class="font-semibold text-gray-900 dark:text-gray-100 group-hover:text-[#EA4335] transition-colors">Optimum-TPU</div>
+    <p class="text-sm text-gray-600 dark:text-gray-400 mt-2 mb-0 leading-relaxed">
+      Seamless TPU acceleration for Hugging Face transformers and training stacks.
+    </p>
+  </a>
+
+  <a href="https://github.com/kubernetes-sigs/lws" class="block p-5 rounded-xl border border-gray-200 dark:border-gray-800 hover:border-[#4285F4] dark:hover:border-[#4285F4] hover:bg-gray-50/60 dark:hover:bg-gray-900/40 transition-all no-underline group" style="border-top: 3px solid #4285F4;">
+    <div class="font-semibold text-gray-900 dark:text-gray-100 group-hover:text-[#4285F4] transition-colors">LWS (LeaderWorkerSet)</div>
+    <p class="text-sm text-gray-600 dark:text-gray-400 mt-2 mb-0 leading-relaxed">
+      Kubernetes deployment patterns for multi-host AI/ML inference workloads.
+    </p>
+  </a>
+
+  <a href="https://github.com/huggingface/Google-Cloud-Containers" class="block p-5 rounded-xl border border-gray-200 dark:border-gray-800 hover:border-[#34A853] dark:hover:border-[#34A853] hover:bg-gray-50/60 dark:hover:bg-gray-900/40 transition-all no-underline group" style="border-top: 3px solid #34A853;">
+    <div class="font-semibold text-gray-900 dark:text-gray-100 group-hover:text-[#34A853] transition-colors">Google Cloud Containers</div>
+    <p class="text-sm text-gray-600 dark:text-gray-400 mt-2 mb-0 leading-relaxed">
+      Deep Learning Containers for training and deploying Hugging Face models on Cloud.
+    </p>
+  </a>
+
+  <a href="https://gke-ai-labs.dev/" class="block p-5 rounded-xl border border-gray-200 dark:border-gray-800 hover:border-[#FBBC04] dark:hover:border-[#FBBC04] hover:bg-gray-50/60 dark:hover:bg-gray-900/40 transition-all no-underline group" style="border-top: 3px solid #FBBC04;">
+    <div class="font-semibold text-gray-900 dark:text-gray-100 group-hover:text-[#FBBC04] transition-colors">GKE AI Labs</div>
+    <p class="text-sm text-gray-600 dark:text-gray-400 mt-2 mb-0 leading-relaxed">
+      A collection of AI examples, best-practices, and prebuilt Kubernetes solutions.
+    </p>
+  </a>
+</div>
+
+<!-- SECTION 4: GOOGLE CLOUD PARTNERSHIP & DEPLOYMENT -->
+<div class="mt-14 mb-6 border-b border-gray-200 dark:border-gray-800 pb-3">
+  <h2 class="text-xl md:text-2xl font-bold tracking-tight text-gray-900 dark:text-gray-100 m-0">
+    Google Cloud Partnership &amp; Deployment
+  </h2>
+</div>
+
+Train and deploy models on GKE and Vertex AI from Hugging Face landing pages, Deep Learning Containers, and Marketplace integrations:
+
+<div class="grid grid-cols-1 sm:grid-cols-2 md:grid-cols-4 gap-4 my-6">
+  <a href="https://huggingface.co/blog/tpu-inference-endpoints-spaces" class="block p-5 rounded-xl border border-gray-200 dark:border-gray-800 hover:border-[#4285F4] dark:hover:border-[#4285F4] hover:bg-gray-50/60 dark:hover:bg-gray-900/40 transition-all no-underline group" style="border-top: 3px solid #4285F4;">
+    <div class="font-semibold text-lg text-gray-900 dark:text-gray-100 group-hover:text-[#4285F4] transition-colors">
+      Inference Endpoints and Spaces
+    </div>
+    <p class="text-sm text-gray-600 dark:text-gray-400 mt-2 mb-0 leading-relaxed">
+      Deploy Hugging Face Hub models on Google Cloud CPU, GPU, or TPU infrastructure.
+    </p>
+  </a>
+
+  <a href="https://cloud.google.com/deep-learning-containers/docs/choosing-container#hugging-face" class="block p-5 rounded-xl border border-gray-200 dark:border-gray-800 hover:border-[#34A853] dark:hover:border-[#34A853] hover:bg-gray-50/60 dark:hover:bg-gray-900/40 transition-all no-underline group" style="border-top: 3px solid #34A853;">
+    <div class="font-semibold text-lg text-gray-900 dark:text-gray-100 group-hover:text-[#34A853] transition-colors">
+      Deep Learning Containers (DLCs)
+    </div>
+    <p class="text-sm text-gray-600 dark:text-gray-400 mt-2 mb-0 leading-relaxed">
+      Hugging Face Deep Learning Containers optimized for Google Cloud training and serving.
+    </p>
+  </a>
+
+  <a href="https://huggingface.co/docs/huggingface_hub/v0.23.3/en/quick-start#environment-variable" class="block p-5 rounded-xl border border-gray-200 dark:border-gray-800 hover:border-[#FBBC04] dark:hover:border-[#FBBC04] hover:bg-gray-50/60 dark:hover:bg-gray-900/40 transition-all no-underline group" style="border-top: 3px solid #FBBC04;">
+    <div class="font-semibold text-lg text-gray-900 dark:text-gray-100 group-hover:text-[#FBBC04] transition-colors">
+      Google Colab &amp; Hugging Face authentication
+    </div>
+    <p class="text-sm text-gray-600 dark:text-gray-400 mt-2 mb-0 leading-relaxed">
+      Securely manage Hugging Face authentication tokens in Colab environment secrets.
+    </p>
+  </a>
+
+  <a href="https://huggingface.co/docs/hugs/how-to/cloud/gcp" class="block p-5 rounded-xl border border-gray-200 dark:border-gray-800 hover:border-[#EA4335] dark:hover:border-[#EA4335] hover:bg-gray-50/60 dark:hover:bg-gray-900/40 transition-all no-underline group" style="border-top: 3px solid #EA4335;">
+    <div class="font-semibold text-lg text-gray-900 dark:text-gray-100 group-hover:text-[#EA4335] transition-colors">
+      HUGS via Cloud Marketplace
+    </div>
+    <p class="text-sm text-gray-600 dark:text-gray-400 mt-2 mb-0 leading-relaxed">
+      Deploy zero-configuration Hugging Face generative AI microservices on Google Cloud.
+    </p>
+  </a>
+</div>