Q4 Updates to Org card

README.md

@@ -40,7 +40,7 @@ On AWS, you can access performant infrastructure, deployment resources, data gov
 
 ## Build and Scale AI/ML on AWS
 
-AWS offers a comprehensive suite of AI/ML tools and services that support every stage of the machine learning lifecycle. From model development and training to deployment and inference, AWS provides cutting-edge solutions such as [Amazon SageMaker AI](https://aws.amazon.com/sagemaker-ai/?trk=8afa3104-517c-4727-9ae4-48fd68084e54&sc_channel=el), a fully-managed service for end-to-end development and deployment of models, [Amazon Bedrock](https://aws.amazon.com/bedrock/?trk=931962ef-ffa0-4c91-b885-9757dab0933e&sc_channel=el) for building and scaling generative AI and agentic AI applications with foundation models — including [AgentCore](https://aws.amazon.com/bedrock/agentcore/?trk=6f74e07c-6ce8-4c86-be06-2f18007b35c6&sc_channel=el) for deploying AI agents securely at scale with purpose-built infrastructure and multi-framework support, custom AI accelerator chips such as [AWS Trainium](https://aws.amazon.com/ai/machine-learning/trainium/?trk=a2d98f03-e332-4006-9724-2bafb15d6927&sc_channel=el) for training and AWS [Inferentia](https://aws.amazon.com/ai/machine-learning/inferentia/?trk=e752ef68-9894-4304-827c-9ac4507dad69&sc_channel=el) for inference, and pre-configured environments to streamline your ML workflows. Additionally, you can explore the [Registry of Open Data](https://registry.opendata.aws/?trk=67465ffe-55fa-4f78-bd9d-5a79ef0717a5&sc_channel=el) to explore and access datasets for your AI/ML projects. Whether you're working on large language models, generative AI, computer vision, time-series forecasting, or natural language processing — scaling your projects on AWS is easy.
+AWS offers a comprehensive suite of AI/ML tools and services supporting every stage of the machine learning lifecycle.[Amazon SageMaker AI](https://aws.amazon.com/sagemaker-ai/?trk=8afa3104-517c-4727-9ae4-48fd68084e54&sc_channel=el) provides fully managed end-to-end model development and deployment, with[SageMaker HyperPod](https://aws.amazon.com/sagemaker/ai/hyperpod/?trk=1ed7f49a-d097-499d-a8bf-d11947cb79bc&sc_channel=el) enabling distributed training at scale featuring [checkpointless recovery](https://aws.amazon.com/sagemaker/ai/hyperpod/features/?trk=23c12ec4-c152-408d-ab8f-a7724f6ebfb6&sc_channel=el) and elastic scaling.[Amazon Bedrock](https://aws.amazon.com/bedrock/?trk=931962ef-ffa0-4c91-b885-9757dab0933e&sc_channel=el) enables building generative AI and agentic applications with leading foundation models including the [Amazon Nova family](https://aws.amazon.com/nova/?trk=e823f9c6-731f-470a-84d6-4d01eb6ed66f&sc_channel=el) (Nova 2 Sonic, Nova 2 Lite, Nova 2 Omni, Nova Act, and Nova Forge).Bedrock [AgentCore](https://aws.amazon.com/bedrock/agentcore/?trk=6f74e07c-6ce8-4c86-be06-2f18007b35c6&sc_channel=el) rovides policy controls, quality evaluations, and enhanced memory for deploying trusted AI agents, while the open source while the open source [Strands Agents SDK](https://strandsagents.com/latest/?trk=0f21d47b-010a-4c7e-90cf-fda08bde426c&sc_channel=el) simplifies agent orchestration. Train your own models or fine-tune open source models cost-effectively using the new [Trainium3 UltraServers](https://www.aboutamazon.com/news/aws/trainium-3-ultraserver-faster-ai-training-lower-cost?trk=beec3c3c-6819-48ad-92ea-ff28d94202f2&sc_channel=el) powered by AWS's first 3nm AI chip. AWS custom AI accelerators also include [Inferentia](https://aws.amazon.com/ai/machine-learning/inferentia/?trk=e752ef68-9894-4304-827c-9ac4507dad69&sc_channel=el) for low-latency inference and [Graviton5](https://www.aboutamazon.com/news/aws/aws-graviton-5-cpu-amazon-ec2?trk=13fe7a56-db59-4f65-b429-76642742d0f6&sc_channel=el) for best-in-class price performance. Whether you're building large language models, generative AI, AI agents, or computer vision applications—scaling on AWS is easy.
 
 Learn more about these services and others:
 
@@ -50,10 +50,9 @@ Learn more about these services and others:
 
 ## Building AI Agents with Strands Agents SDK
 
-AWS offers Strands Agents, an open source SDK that simplifies the development and deployment of AI agents. Supporting models from Amazon Bedrock, Meta's Llama, and other providers — Strands Agents enables developers to build production ready multi-agent systems with minimal code.
+AWS offers [Strands Agents](https://strandsagents.com/latest/?trk=0f21d47b-010a-4c7e-90cf-fda08bde426c&sc_channel=el), an open source SDK that simplifies the development and deployment of AI agents. Supporting models from Amazon Bedrock, Meta's Llama, and other providers — Strands Agents enables developers to build production ready multi-agent systems with minimal code.
 
 * [Introduction to Strands Agents Blog](https://aws.amazon.com/blogs/opensource/introducing-strands-agents-an-open-source-ai-agents-sdk/?trk=ffb363e8-9990-44ab-bb07-8f062d904f15&sc_channel=el)
-* [Strands Agents Documentation](https://strandsagents.com/0.1.x/?trk=35e66432-4451-4633-92cc-899637476931&sc_channel=el)
 * [Strands Agents on GitHub](https://github.com/strands-agents?trk=ff3a3fb3-31dd-4ef0-8f8a-540a80d38cf2&sc_channel=el)
 
 ## AWS & Hugging Face Collaboration
@@ -112,27 +111,27 @@ Let's innovate together! 🎉🚀
 
  <div class="grid lg:grid-cols-3 gap-x-4 gap-y-2 p2">
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-    <a href="https://aws.amazon.com/blogs/opensource/strands-agents-and-the-model-driven-approach/?trk=283680be-f10a-4714-bd81-3f15a12e452e&sc_channel=el/">
-      <img class="rotating-content" src="images/thumbnails/Strands agents.png" alt="Strands Agents and the Model-Driven Approach"/>
-      <p>Strands Agents and the Model-Driven Approach</p>
+    <a href="https://aws.amazon.com/blogs/opensource/building-intelligent-physical-ai-from-edge-to-cloud-with-strands-agents-bedrock-agentcore-claude-4-5-nvidia-gr00t-and-hugging-face-lerobot/?trk=ce7ba739-eb42-4a37-ac05-a6375eaf987c&sc_channel=el/">
+      <img class="rotating-content" src="images/thumbnails/Strands agents.png" alt="Building intelligent physical AI from edge to cloud"/>
+      <p>Building intelligent physical AI from edge to cloud</p>
     </a>
   </div>
     <div class="col-span-1 p2">
-      <a href="https://aws.amazon.com/blogs/machine-learning/fine-tune-openai-gpt-oss-models-on-amazon-sagemaker-ai-using-hugging-face-libraries/?trk=fb4ed833-e84e-4299-b20e-9a098f7ff151&sc_channel=el/">
-        <img class="rotating-content" src="images/thumbnails/OpenAI GPT-OSS.jpg" alt="Fine-tune OpenAI GPT-OSS models on Amazon SageMaker AI using Hugging Face libraries"/>
-        <p>Fine-tune OpenAI GPT-OSS models on Amazon SageMaker AI using Hugging Face libraries</p>
+      <a href="https://aws.amazon.com/blogs/machine-learning/checkpointless-training-on-amazon-sagemaker-hyperpod-production-scale-training-with-faster-fault-recovery/?trk=57020309-845b-4539-99b7-6bd1ae3f18af&sc_channel=el/">
+        <img class="rotating-content" src="images/thumbnails/OpenAI GPT-OSS.jpg" alt="Checkpointless training on Amazon SageMaker"/>
+        <p>Checkpointless training on Amazon SageMaker</p>
       </a>
   </div>
   <div class="col-span-1 p2">
-      <a href="https://aws.amazon.com/blogs/devops/amazon-q-developer-agentic-coding-experience/?trk=1ec8dbec-8c75-401f-8a66-293bf93a1e4a&sc_channel=el/">
-        <img class="rotating-content" src="images/thumbnails/Blog5.png" alt="Intelligent Code at your Fingertips"/>
-        <p>Intelligent Code at your Fingertips: Introducing an agentic coding experience in your IDE</p>
+      <a href="https://aws.amazon.com/blogs/opensource/introducing-strands-agent-sops-natural-language-workflows-for-ai-agents/?trk=52761843-fbd6-4802-838f-d65da4b7e981&sc_channel=el/">
+        <img class="rotating-content" src="images/thumbnails/Blog5.png" alt="Strands agent SOPS natural language workflows"/>
+        <p>Strands agent SOPS natural language workflows</p>
       </a>
   </div>
     <div class="col-span-1 p2">
-      <a href="https://aws.amazon.com/blogs/machine-learning/build-a-multi-agent-system-with-langgraph-and-mistral-on-aws/?trk=95afde2c-5d6f-43ad-856b-77dca9831cd9&sc_channel=el/">
-        <img class="rotating-content architectureImage" src="images/thumbnails/Multi-Agent-City-Information-System-Reference-Architecture-v2.png" alt="Build a Multi-Agent System"/>
-        <p>Build a Multi-Agent System with LangGraph and Mistral on AWS</p>
+      <a href="https://aws.amazon.com/blogs/opensource/announcing-ml-container-creator-for-easy-byoc-on-sagemaker/?trk=d0ba3be7-7171-49fd-a1fc-e34880b1f9ca&sc_channel=el/">
+        <img class="rotating-content architectureImage" src="images/thumbnails/Multi-Agent-City-Information-System-Reference-Architecture-v2.png" alt="BYOC on SageMaker"/>
+        <p>Easy BYOC on SageMaker</p>
       </a>
   </div>
 </div>