Amazon SageMaker HyperPod Inference Gateway for scalable LLM inference
Amazon SageMaker HyperPod Inference Gateway is a Kubernetes-native, GPU-aware routing system that deploys as a single EKS managed add-on on existing SageMaker HyperPod infrastructure with zero application changes.
Also shipped Sep 24, 2026AWS in September 2026 →
DCM Projects capability updates
This release updates the availability of several DCM Projects capabilities. The following capabilities are now generally available: The following capabilities are now available in preview:
Alpha Changelog - 9/23/26
Hi everyone, here are the latest round of changes on alpha.midjourney.com . Many of these came directly from your feedback in #alpha-ideas-and-bugs . Please keep it coming! STYLE PREVIEWS We're experimenting with fast models in the interface.
New project activity feed
As part of our ongoing work to simplify the Netlify dashboard, we’ve added an activity feed to the project overview page. It’s available on all plans and adapts to how your project is set up.
Retool CLI
Live on cloud • Team • Business • Enterprise Public beta 4.62 Edge • Team • Business • Enterprise Public beta 4.34.4 Stable • Team • Business • Enterprise Public beta The Retool CLI is now available in public beta.
Buildkite Cache is now in public preview
Buildkite Cache is now available in public preview. It saves and restores files and directories across pipeline jobs and builds. Use it for package manager download caches, compiled dependencies, and other regenerable data to avoid repeating work.
Service principal Genie usage is billed at standard pricing
Genie usage by service principals is now billed at standard Genie pay-as-you-go pricing. Service principals are excluded from the free monthly usage allowance that applies to individual users. See Manage budgets and cost controls for Genie and Monitor and understand your Genie cost .
More from Amazon SageMakerEvery Amazon SageMaker release →
Run interactive workloads on Amazon EMR on EKS with Spark Connect
Amazon EMR on EKS now supports interactive Apache Spark sessions with Spark Connect. Data engineers and data scientists can develop and debug Apache Spark applications interactively from managed notebooks in Amazon SageMaker Unified Studio and their own IDEs, such as Jupyter and Visual Studio Code, with Spark running on the Amazon EKS clusters they already...
Amazon SageMaker Unified Studio now supports two new connection capabilities: Iceberg REST Catalog connections and IAM authentication for Amazon DocumentDB
Amazon SageMaker Unified Studio now supports two new connection capabilities: (1) Iceberg REST Catalog (IRC) connections for external Apache Iceberg catalogs, and (2) IAM authentication for Amazon DocumentDB. Together, they let data teams connect to a broader set of governed data sources and use credential-less authentication across projects.
Amazon SageMaker AI now supports serverless model customization for NVIDIA Nemotron 3.5 Lightning
Amazon SageMaker AI now supports serverless model customization for the NVIDIA Nemotron 3.5 Lightning model using supervised fine-tuning (SFT), Direct Preference Optimization (DPO), and reinforcement fine-tuning (RFT).
Amazon SageMaker AI now supports instance preference lists for training and processing jobs
Today, Amazon SageMaker AI announces instance preference lists for training and processing jobs, making it easier and faster to find compute capacity for your workloads. Many AI training, fine-tuning, and data processing workloads run comparably well on any of several instance types or sizes.
Qwen3.6-35B-A3B-NVFP4 and Wan2.1-T2V-1.3B-Diffusers models now available on Amazon SageMaker JumpStart
NVIDIA's Qwen3.6-35B-A3B-NVFP4 and Alibaba's Wan2.1-T2V-1.3B-Diffusers models are now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers.
Ministral-3-3B-Instruct-2512 and Ministral-3-8B-Instruct-2512 models now available on Amazon SageMaker JumpStart
Mistral AI's Ministral-3-3B-Instruct-2512 and Ministral-3-8B-Instruct-2512 models are now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers.
Gemma-4-31B-it-assistant and Gemma-4-31B-IT-NVFP4 models now available on Amazon SageMaker JumpStart
Google DeepMind's Gemma-4-31B-it-assistant and NVIDIA's Gemma-4-31B-IT-NVFP4 models are now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers.
granite-speech-4.1-2b, kanana-2-30b-a3b-instruct, and OpenFold3 models now available on Amazon SageMaker JumpStart
BM's granite-speech-4.1-2b, Kakao's kanana-2-30b-a3b-instruct, and the OpenFold Consortium's OpenFold3 models are now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers.