SageMaker MLflow Apps now support MLflow 3.16
Amazon SageMaker MLflow Apps now support MLflow 3.16, featuring a redesigned trace explorer and improved experiment tracking performance for generative AI and agentic workflows.
Also shipped Oct 27, 2026AWS in October 2026 →
OpenAI GPT-6.1 Terra is now available on Unity Gateway
Databricks now supports the OpenAI GPT-6.1 Terra model via Foundation Model APIs on Unity Gateway.
Editing files in Unity Catalog volumes is now generally available
Users can now edit files stored in Unity Catalog volumes directly within the Databricks workspace file editor, eliminating the need for manual downloads and uploads.
Released pg\_pinecone
The pg_pinecone extension is now available, enabling native vector search within PostgreSQL. It allows users to perform vector searches using the local engine or offload indexing to Pinecone for larger datasets.
[Launched] Generally Available: Cost management and tagging for Claude models in Microsoft Foundry
Microsoft Foundry now provides integrated cost management and tagging for Claude models within Azure Cost Management. This update ensures Claude usage is tracked under the specific Foundry resource rather than as general SaaS spend.
Gemini Robotics ER 2 (Preview)
Gemini Robotics ER 2 is now available in preview. This vision-language model is designed for robotics applications, supporting spatial reasoning, agentic code execution, and task orchestration.
xAI's Grok 4.7 is generally available
xAI's Grok 4.7 model is now generally available for production use on global and US multi-region endpoints.
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Amazon SageMaker Unified Studio adds light mode support for IDC-based domains
Amazon SageMaker Unified Studio now supports a light mode theme for Identity Center-based domains to improve accessibility.
Amazon SageMaker AI announces training session APIs for serverless model customization
New training session APIs for SageMaker AI serverless model customization allow developers to define custom training loops for SFT, DPO, and reinforcement learning without managing GPU infrastructure.
Amazon SageMaker AI now supports serverless model customization for Muse Glimmer, Qwen 3.8 and Ministral 3 models
SageMaker AI now supports serverless model customization for Muse Glimmer, Qwen 3.8, and Ministral 3 models. Users can apply SFT, DPO, and RFT techniques using LoRA or full fine-tuning.
Amazon SageMaker AI now supports custom sequence lengths for serverless model customization jobs
Today, Amazon SageMaker AI announces the ability to configure the sequence length used during your serverless model customization job. Amazon SageMaker AI serverless model customization supports fine-tuning for many open-weight models, including models from popular families including gpt-oss, Gemma, Llama, Nemotron, and Qwen.
Nemotron 3.5 Super VL model now available on Amazon SageMaker JumpStart
NVIDIA's Nemotron 3.5 Super VL is now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers. This vision-language model from the Nemotron 3.5 family accepts images, video, and text as input and generates text, enabling customers to deploy multimodal AI solutions on AWS infrastructure.
Beam model by Reflection is now available on Amazon SageMaker JumpStart and AWS Trainium
Beam, the first open weight model offered by US-based Reflection, is now available in Amazon SageMaker JumpStart, the model hub in Amazon SageMaker AI. According to Beam, they operate at the frontier of open weight models in its class, with strong performance across reasoning, coding, and agentic benchmarks.
Amazon SageMaker Studio simplifies getting started for new AI/ML builders with new sign-in options
Amazon SageMaker Studio now lets new customers sign up with their Google, GitHub, or Apple credentials and land inside a fully configured Studio environment - no traditional AWS account setup and no console navigation required.
Muse Spark Open model now available on Amazon SageMaker JumpStart
Meta's Muse Spark Open is now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers. This coding-optimized open-weight model from Meta is purpose-built for agentic coding workflows, bringing multi-step reasoning and tool calling to enterprise software engineering on AWS infrastructure.