Releasesby Glyph
AWS Analytics services now support Workday Data Cloud integration
Today, AWS announces a new bi-directional, zero-copy integration between AWS Analytics services and Workday Data Cloud. Instead of building and maintaining ETL pipelines to replicate data between systems, joint customers can now query across their AWS and Workday datasets in place, without moving or copying data, while retaining existing security controls...
Also shipped Nov 9, 2026AWS in November 2026 →
The following AlloyDB AI features and improvements are generally available ( GA ): - Smart batching for AI...
The following AlloyDB AI features and improvements are generally available ( GA ): Smart batching for AI functions: AI function acceleration is generally available for ai.if , ai.rank , ai.analyze_sentiment , ai.summarize , ai.extract , ai.classify , and ai.generate on AlloyDB clusters running PostgreSQL 17 and later.
To support your FinOps practices, you can now opt in to compute cost attribution in BigQuery editions
To support your FinOps practices, you can now opt in to compute cost attribution in BigQuery editions. This feature attributes billed compute charges directly to the query projects that use your administration project's reservation capacity.
Query performance troubleshooting and job and system performance comparison in the BigQuery jobs explorer are...
Query performance troubleshooting and job and system performance comparison in the BigQuery jobs explorer are generally available (GA). For more information, see Troubleshoot job performance and Diagnose performance regressions by comparing jobs and systems .
When you create or schedule a pipeline, you can specify the maximum number of concurrently executed pipeline...
When you create or schedule a pipeline, you can specify the maximum number of concurrently executed pipeline tasks. This feature is generally available (GA).
You can use compression functions in GoogleSQL to compress or decompress bytes or string values by using the...
You can use compression functions in GoogleSQL to compress or decompress bytes or string values by using the Zstandard (Zstd) lossless data compression algorithm. The following functions are supported: ZSTD_COMPRESS ZSTD_DECOMPRESS_TO_BYTES ZSTD_DECOMPRESS_TO_STRING These functions are in Preview .
Fast mode for Anthropic Claude models is generally available
Fast mode for supported Anthropic Claude models, starting with Claude Fable 5.2 ( claude-fable-5-2 ), is available in General Availability (GA) . You can set "speed": "fast" in online pay-as-you-go prediction requests to accelerate output token generation for latency-sensitive agentic workflows.
More from Amazon SageMakerEvery Amazon SageMaker release →
Amazon SageMaker AI Studio Now Supports IAM Identity Center Multi-Region Replication
Amazon SageMaker AI Studio now supports IAM Identity Center multi-region replication, allowing administrators to deploy domains in regions separate from their primary identity instance.
Amazon SageMaker AI inference now supports GPU partitioning for real-time endpoints
SageMaker AI now supports GPU partitioning using NVIDIA Multi-Instance GPU (MIG) technology. This allows multiple models to share a single GPU with hardware-enforced isolation.
Amazon SageMaker AI now supports SOCI-indexed images to start training jobs in seconds
Amazon SageMaker AI now supports Seekable OCI (SOCI)-indexed container images, allowing training and processing jobs to lazy-load images and start in seconds instead of minutes.
Amazon SageMaker Unified Studio now supports custom designations
Amazon SageMaker Unified Studio introduced domain-level custom designations, enabling administrators to configure fine-grained role permissions across catalog, connection, and notebook resources.
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.
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.