Amazon Web Services (AWS) published a guide for building agentic workflows that combine OpenAI-compatible endpoints on Amazon SageMaker AI with Amazon Bedrock AgentCore runtime, enabling specialized a…
OneAdvanced, a UK-based enterprise software provider serving over 10,000 customers, deployed over 50 AI agents on UK-sovereign AWS by self-hosting Llama 4 Maverick and Llama Guard 4 on Amazon SageMake…
Amazon Web Services (AWS) announced the general availability of the SageMaker AI Spaces add-on for Amazon Elastic Kubernetes Service (EKS), which lets data scientists run interactive JupyterLab and Co…
Amazon Web Services (AWS) introduced inference meta-monitoring for Amazon SageMaker AI endpoints, a governance layer that continuously tracks prediction and data quality metrics and visualizes trends …
Deepgram has integrated with AWS IAM Temporary Delegation to grant partners scoped, time-limited, customer-approved access to specific resources, reducing the time for initial investigation on a SageM…
A developer proposes an AWS architecture for building persistent, embodied artificial minds, translating philosophical commitments into engineering requirements. The system uses Amazon Bedrock AgentCo…
AWS published an architectural guide for building an explainable next-best-product recommendation system for banking using Amazon SageMaker AI and PyTorch. The system uses a multi-tower neural network…
Amazon SageMaker AI launched a UI for generative AI inference recommendations in SageMaker AI Studio, providing a low-code no-code experience that guides users through preset use-case profiles, visual…
Amazon SageMaker AI now supports serverless model customization for NVIDIA Nemotron 3 models, including Nemotron 3 Nano and Nemotron 3 Super, enabling fine-tuning with supervised fine-tuning, reinforc…
Henry Schein One built Image Verify, an AI-powered quality verification system on Amazon SageMaker AI that evaluates dental X-ray quality in real time at the point of capture. The system, which proces…
Amazon Web Services announced a partnership with Unsloth to deploy quantized foundation models on Amazon SageMaker AI, reducing memory usage and serving costs while maintaining accuracy. The collabora…
Amazon SageMaker AI integrated MLflow for model monitoring in a July 7, 2026 AWS blog post, separating data drift from model drift to help ML teams identify whether input distribution changes or predi…
Amazon Web Services introduced a model monitoring architecture using the open-source Evidently Python library and Amazon SageMaker AI with MLflow to detect data and model drift in discriminative ML mo…
Amazon Web Services announced a new pipeline using Amazon Nova foundation models to automatically redact Personally Identifiable Information (PII) in images, addressing compliance with regulations lik…
Amazon SageMaker AI now integrates with MLflow to stream benchmark and recommendation results into a unified tracking interface, reducing data silos and accelerating iteration cycles for generative AI…
Amazon Web Services released best practices for multi-turn reinforcement learning in Amazon SageMaker AI, covering environment design, reward alignment, and evaluation. The guidance helps developers t…
Amazon Web Services announced BoltzGen on Amazon SageMaker AI, a diffusion-based generative model for protein binder design that manages GPU compute infrastructure end to end. The service reduces oper…
Amazon Web Services announced that fine-tuning Amazon Nova models using SageMaker AI can achieve up to 94.77% accuracy in extracting data from emails, reducing costs by 50% and latency by over 30%. Th…
Amazon SageMaker AI now supports NVIDIA Blackwell GPUs with P6-B200 instances, enabling optimized training for large AI models through expanded memory and new precision formats. The integration allows…
ByteDance's open-source SeedVR2 video restoration model is now deployable on Amazon SageMaker AI, enabling scalable super resolution for low-resolution video libraries. The solution uses a three-tier …