Bedrock Brief 11 Feb 2026
Welcome to another edition of The Bedrock Brief, your weekly dose of AWS AI shenanigans and insights! This week, Amazon's been flexing its AI muscles harder than a bodybuilder prepping for a swimsuit competition. The e-commerce giant is doubling down on AI investments faster than you can say "Alexa, order more GPUs." Despite Wall Street's raised eyebrows, Amazon insists these hefty expenditures are already paying off. It's like they're building a massive AI treehouse and inviting all their cloud friends to come play.
Speaking of friends, Prosus just signed a three-year pact with AWS that's more exciting than a tech startup's Series A funding round. This collaboration aims to supercharge AI-driven e-commerce across Latin America, Europe, and India. It's like giving Prosus a turbocharged shopping cart powered by AWS's cloud steroids. The partnership will leverage advanced AI capabilities to deliver hyper-personalized experiences, making online shopping feel less like a chore and more like having a psychic personal assistant.
In lighter news, AWS released its annual Valentine's Day cards, proving that even cloud engineers have a sense of humor (who knew?). From EC2 instances to Lambda functions, these cards are geekier than a Comic-Con afterparty. My personal favorite? "In EC2 security groups, 0.0.0.0/0 means open to the entire internet, which is a rookie error. Closing it down to a single trusted source is the security equivalent of making it Facebook Official." Because nothing says 'I love you' quite like proper network security practices, am I right?
Fresh Cut
- Amazon Neptune Analytics, a serverless graph database for connected data that can improve AI applications and analyze billions of relationships, is now available in seven new regions across the Middle East, Africa, Canada, Asia Pacific, and Europe. Read announcement →
- AWS HealthOmics introduces AI-assisted bioinformatics workflow development with Kiro Power and IDE extension, enabling faster creation, debugging, and optimization of Nextflow and WDL workflows directly in the Kiro interface. Read announcement →
- Amazon Bedrock AgentCore Browser introduces browser profiles, drastically reducing session setup time for automated tasks by preserving authentication across multiple sessions without repeated logins. Read announcement →
- AWS Config expands its monitoring capabilities to include 30 new resource types across services like Amazon EKS and AWS IoT, enabling developers to better track, audit, and manage a wider range of AWS resources. Read announcement →
- AWS expands G6e instances with NVIDIA L40S GPUs to UAE, offering up to 8 GPUs with 48GB memory each for machine learning and 3D simulations. Read announcement →
- Amazon WorkSpaces introduces GPU-powered virtual desktops with 12 new bundle options, enabling developers to run graphics-intensive tasks like 3D rendering and ML training in the cloud without needing high-end local hardware. Read announcement →
- Teams can now pool and share reserved GPU capacity across AWS accounts, reducing costs and improving utilization for machine learning workloads. Read announcement →
- Claude Opus 4.6, Anthropic's most advanced AI model for coding and enterprise tasks, is now accessible through Amazon Bedrock, offering developers powerful capabilities for complex projects with up to 1 million context tokens. Read announcement →
- AWS Batch now lets you schedule jobs on your existing Amazon EKS clusters, giving you full control over your Kubernetes infrastructure while benefiting from Batch's job orchestration capabilities. Read announcement →
- Amazon Bedrock's new structured outputs feature ensures AI models return responses in your specified JSON format, simplifying data extraction and reducing errors in production workflows without extra application checks. Read announcement →
The Quarry
Structured outputs on Amazon Bedrock: Schema-compliant AI responses
Say goodbye to the JSON parsing headache and hello to structured outputs on Amazon Bedrock, where foundation models now deliver schema-compliant responses without breaking a sweat. This game-changing feature uses constrained decoding to ensure your AI-generated JSON is always valid, saving you from the nightmare of malformed data and error-prone parsing. For the technically curious, Bedrock employs both JSON Schema output formats and a "strict tool use" mechanism, giving you precise control over the structure and content of your model's responses. Read blog →
More posts:
- How Amazon uses Amazon Nova models to automate operational readiness testing for new fulfillment centers
- Iberdrola enhances IT operations using Amazon Bedrock AgentCore
- Building real-time voice assistants with Amazon Nova Sonic compared to cascading architectures
- Automated Reasoning checks rewriting chatbot reference implementation
- Scale LLM fine-tuning with Hugging Face and Amazon SageMaker AI
- New Relic transforms productivity with generative AI on AWS
- Accelerate agentic application development with a full-stack starter template for Amazon Bedrock AgentCore
- Agent-to-agent collaboration: Using Amazon Nova 2 Lite and Amazon Nova Act for multi-agent systems
- Structured outputs on Amazon Bedrock: Schema-compliant AI responses
- Manage Amazon SageMaker HyperPod clusters using the HyperPod CLI and SDK
- Evaluate generative AI models with an Amazon Nova rubric-based LLM judge on Amazon SageMaker AI (Part 2)
- How Associa transforms document classification with the GenAI IDP Accelerator and Amazon Bedrock
- A practical guide to Amazon Nova Multimodal Embeddings
- Accelerating your marketing ideation with generative AI – Part 2: Generate custom marketing images from historical references
Core Sample
Redefining Human Connection in the Age of AI
Edith Cooper's "be bold and care" leadership philosophy suggests that AI's true potential lies in empowering humans rather than replacing them. She emphasizes the need for increased communication during uncertain times, advocating for workplaces where employees can leverage their full capabilities alongside AI-driven insights. Cooper's approach focuses on building cultures of accountability and growth, where human judgment is applied to AI outputs—a crucial technical consideration for engineers implementing AI systems in real-world scenarios. Watch video →
More videos:
- Inside PBS: How AI is quietly improving your life—and you don't even know it
- Redefining Human Connection in the Age of AI
- Boost Productivity with Amazon QuickSuite-Salesforce Integration