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SpaceXAI Grok 4.6 now available on Amazon Bedrock in AWS GovCloud (US)

da Agency — Sat, 29 Aug 2026 02:41:32 +0000

Amazon Bedrock in AWS GovCloud (US) now supports SpaceXAI Grok 4.6, a frontier model built for coding, agentic tasks, and knowledge work. Grok 4.6 is SpaceXAI’s latest flagship model, built for long-running agents and ambitious interactive and visual work. It offers 500k context window and configurable reasoning efforts (low, medium, high, xhigh).

The model runs on the bedrock-runtime endpoint with support for the Responses, Chat Completions, and Converse APIs, and customers can access Grok 4.6 at scale with cross-Region inference routing requests across both AWS GovCloud (US) Regions. Grok 4.6 is also avialable via the bedrock-mantle endpoint in AWS GovCloud (US-East).

To get started, review the model card for Grok 4.6 in the Amazon Bedrock User Guide.
Quelle: aws.amazon.com

Der Beitrag SpaceXAI Grok 4.6 now available on Amazon Bedrock in AWS GovCloud (US) erschien zuerst auf Cloud Computing Köln.

Amazon Aurora MySQL 3.13 (compatible with MySQL 8.0.45) is generally available

da Agency — Sat, 29 Aug 2026 02:41:30 +0000

Starting today, Amazon Aurora MySQL-Compatible Edition 3 (compatible with MySQL 8.0) supports MySQL 8.0.45, which includes community MySQL fixes and Aurora-specific improvements. For detailed information on this release, refer to Aurora MySQL 3 and MySQL 8.0.45 release notes. You can upgrade your databases during scheduled maintenance windows using automatic minor version upgrades. To simplify operations at scale, enable automatic minor version upgrades and use the AWS Organizations Upgrade Rollout Policy to orchestrate upgrades across your clusters in phases. You can perform minor version upgrades in-place or via snapshot restore. This release is supported in all AWS Regions where Aurora MySQL is available. Amazon Aurora is designed for high performance and availability at global scale with full MySQL compatibility. It provides scale-to-zero serverless compute, Aurora Global Database for multi-Region resilience, Aurora I/O-Optimized for improved price performance on I/O-intensive workloads, and built-in security and continuous backups. To get started, take a look at Aurora’s getting started page.
Quelle: aws.amazon.com

Der Beitrag Amazon Aurora MySQL 3.13 (compatible with MySQL 8.0.45) is generally available erschien zuerst auf Cloud Computing Köln.

Amazon CloudWatch agent adds support for journald logs

da Agency — Sat, 29 Aug 2026 02:41:28 +0000

AWS announces support for collecting systemd journal (journald) logs with the Amazon CloudWatch agent. You can now configure the CloudWatch agent to read log entries directly from the systemd journal on Linux instances and send them to Amazon CloudWatch Logs, without first writing those logs to files on disk.
Many modern Linux distributions, including Amazon Linux 2023, use systemd journal as the primary logging system and no longer write traditional text log files such as /var/log/messages by default. Previously, collecting these logs with the CloudWatch agent required additional configuration to export the journal to files on disk. With this launch, the CloudWatch agent reads journald entries natively, preserving the structured metadata that journald captures, such as the systemd unit, priority, and process information. You can filter log entries using systemd units, journal priority levels, and journal field matches, and you can apply regular expression filters before logs are published to CloudWatch Logs. This helps you reduce noise and control log volume and costs.
Support for journald in the CloudWatch agent is available in all AWS Commercial Regions and GovCloud(US) regions. Standard Amazon CloudWatch Logs pricing applies for ingested logs. For more information, see Amazon CloudWatch Pricing page.
To get started, update to the latest version of the CloudWatch agent and add a journald section to your agent configuration file. To learn more, see Manually create or edit the CloudWatch agent configuration file in the Amazon CloudWatch User Guide.
Quelle: aws.amazon.com

Der Beitrag Amazon CloudWatch agent adds support for journald logs erschien zuerst auf Cloud Computing Köln.

Amazon EC2 P6-B300 instances are now available in additional AWS Regions

da Agency — Sat, 29 Aug 2026 02:41:27 +0000

Starting today, Amazon Elastic Cloud Compute (Amazon EC2) P6-B300 instances are available in Asia Pacific (Hyderabad) and South America (Sao Paulo) Regions. P6-B300 instances provide 8xNVIDIA Blackwell Ultra GPUs with 2.1 TB high bandwidth GPU memory, 6.4 Tbps EFA networking, 300 Gbps dedicated ENA throughput, and 4 TB of system memory.
P6-B300 instances deliver 2x networking bandwidth, 1.5x GPU memory size, and 1.5x GPU TFLOPS (at FP4, without sparsity) compared to P6-B200 instances, making them well suited to train and deploy large trillion-parameter foundation models (FMs) and large language models (LLMs) with sophisticated techniques. The higher networking and larger memory deliver faster training times and more token throughput for AI workloads.
P6-B300 instances are now available in p6-b300.48xlarge size in the following AWS Regions: US West (Oregon), AWS GovCloud (US-East), US East (N. Virginia), Asia Pacific (Hyderabad, Seoul), and South America (Sao Paulo). To learn more about P6-B300 instances, visit Amazon EC2 P6 instances.
Quelle: aws.amazon.com

Der Beitrag Amazon EC2 P6-B300 instances are now available in additional AWS Regions erschien zuerst auf Cloud Computing Köln.

AWS Transform now in scope for FedRAMP Class C

da Agency — Sat, 29 Aug 2026 02:41:26 +0000

AWS Transform is now in scope for FedRAMP Class C (formerly Moderate baseline) in the US East (Ohio) Region. You can now use AWS Transform to build applications and run workloads that are subject to FedRAMP Class C compliance requirements.
The Federal Risk and Authorization Management Program (FedRAMP) is a US government-wide program that delivers a standard approach to the security assessment, authorization, and continuous monitoring for cloud products and services. AWS Transform is an agentic migration and modernization service designed to compress enterprise timelines from years to months — handling everything from large-scale infrastructure migrations to continuous tech debt reduction, without the manual handoffs and lost context that commonly stall these programs.
To learn more about FedRAMP, visit the AWS services in scope page. To learn more about AWS Transform, visit the webpage and documentation.
Quelle: aws.amazon.com

Der Beitrag AWS Transform now in scope for FedRAMP Class C erschien zuerst auf Cloud Computing Köln.

Amazon Redshift integrates with Agent Toolkit for AWS for AI-assisted data warehouse management

da Agency — Fri, 28 Aug 2026 14:41:29 +0000

Amazon Redshift now integrates with the Agent Toolkit for AWS, enabling you to build, query, troubleshoot, and migrate to Amazon Redshift data warehouses and date lakes directly from AI agents such as Claude Code, Kiro, and Cursor. The integration pairs the AWS MCP (Model Context Protocol) server, which provides authenticated AWS API execution on your behalf — with Redshift skills: curated packages of tested procedures and reference material that help AI agents complete Redshift tasks more effectively.
The Redshift skills cover SQL syntax references to reduce query generation errors, metadata discovery to explore schemas and data without writing SQL by hand, data loading patterns, materialized view best practices, function and data type guidance, and extensions such as Qualify, Pivot, and Super. It also guides end-to-end data warehouse migrations to Amazon Redshift, including discovery, schema and SQL conversion, data movement, validation, and performance comparison. We will continue to expand these skills with additional capabilities over time.
The skills work with provisioned clusters and Serverless workgroups, require no changes to existing infrastructure, and are available at no additional charge in all AWS Regions where Amazon Redshift and the AWS MCP Server are offered.
To get started, install the aws-data-analytics plugin in your agent, which bundles the MCP Server configuration and Redshift skills in a single step. Agents with MCP Server access can also discover and load skills at runtime without pre-installation. For setup instructions, see the Agent Toolkit documentation or the Amazon Redshift skills documentation.
Quelle: aws.amazon.com

Der Beitrag Amazon Redshift integrates with Agent Toolkit for AWS for AI-assisted data warehouse management erschien zuerst auf Cloud Computing Köln.

Amazon Redshift streaming can now ingest 10MiB records from Amazon Kinesis Data Streams

da Agency — Fri, 28 Aug 2026 14:41:27 +0000

Amazon Redshift now supports Amazon Kinesis Data Streams (KDS) record sizes up to 10 MiB—a 10x increase from the previous 1 MiB limit—fully matching the expanded maximum record size in Amazon KDS. This means you can stream significantly larger payloads directly into Amazon Redshift without splitting records, simplifying your ingestion pipelines and unlocking new use cases for high-volume, large-record workloads.
Amazon Redshift support for 10MiB record size in Amazon KDS streams is now available in all commercial AWS regions where Amazon Redshift is available. For more information on direct streaming ingestion into Amazon Redshift, see the Amazon Redshift streaming documentation. For more information on 10MiB record support in Amazon KDS, see the Amazon KDS documentation.
Quelle: aws.amazon.com

Der Beitrag Amazon Redshift streaming can now ingest 10MiB records from Amazon Kinesis Data Streams erschien zuerst auf Cloud Computing Köln.

Muse-Glimmer-30B and Qwen 3.8-27B models now available on Amazon SageMaker JumpStart

da Agency — Fri, 28 Aug 2026 14:41:26 +0000

Meta’s Muse-Glimmer-30B and Alibaba’s Qwen 3.8-27B models are now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers. These two models bring specialized capabilities spanning autonomous local agentic workflows and multimodal long-horizon reasoning, enabling customers to deploy high-performance, scalable AI solutions on AWS infrastructure.
These models address different enterprise AI challenges with specialized capabilities:
Muse-Glimmer-30B is engineered for autonomous agentic tasks with multi-step reasoning, tool use, and failure recovery. This 30B-parameter dense model from Meta Superintelligence Lab combines a dedicated ~1.8B ViT-G/14 perception encoder with interleaved text and image inputs, a 131K+ context window, and selectable reasoning strength (low through extra-high). Released under Apache 2.0, it handles sequential tool calls, recovers from failures, and operates entirely without cloud infrastructure which is ideal for always-on enterprise agents.
Qwen 3.8-27B excels in coding, multi-step agentic tasks, and multimodal understanding across text, images, and video. A dense 27B-parameter native vision-language model with a 262K context window (extendable to ~1M via YaRN scaling), it delivers substantial gains over its predecessor with adjustable reasoning effort levels. Scoring 61.7 on SWE-bench Pro and running at ~17GB quantized, it carries complex multi-step tasks through to completion with greater reliability.
With SageMaker JumpStart, customers can deploy any of these models with just a few clicks to address their specific AI use cases.
To get started with these models, navigate to the SageMaker JumpStart model catalog in the SageMaker console or use the SageMaker Python SDK to deploy the models to your AWS account. For more information about deploying and using foundation models in SageMaker JumpStart, see the Amazon SageMaker JumpStart documentation.
Quelle: aws.amazon.com

Der Beitrag Muse-Glimmer-30B and Qwen 3.8-27B models now available on Amazon SageMaker JumpStart erschien zuerst auf Cloud Computing Köln.

Cosmos3-Edge, Cosmos3-Nano, and Cosmos3-Super models now available on Amazon SageMaker JumpStart

da Agency — Fri, 28 Aug 2026 14:41:24 +0000

NVIDIA’s Cosmos3-Edge, Cosmos3-Nano, and Cosmos3-Super models are now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers. These three models form the Cosmos 3 family of open, frontier omnimodal world models for physical AI, enabling customers to build robots, autonomous vehicles, and vision AI that perceive, reason, plan, and act in the physical world.
These models address different physical AI challenges with specialized capabilities:
Cosmos3-Edge is engineered for on-device robot control and real-time visual reasoning on edge hardware. This 4B-parameter omni-model (with a 2B Nemotron-based reasoner) operates at robot-control resolution (640×360), delivering real-time reasoning and generating 32 actions per inference at 15 Hz on NVIDIA Jetson Thor. It supports 256p and 480p video at 12–30 FPS, bringing frontier physical AI capabilities directly to embedded systems.
Cosmos3-Nano excels in physics-aware world generation and physical reasoning as a compact 16B-parameter omnimodal model. It processes combinations of text, image, video, audio, and action trajectories to produce corresponding outputs, enabling robots and vision AI agents to reason using prior knowledge, physics understanding, and common sense. It supports chain-of-thought reasoning over text, images, and video with resolutions up to 720p.
Cosmos3-Super provides the highest-fidelity world generation and simulation in the Cosmos 3 family at 64B parameters. It jointly processes and generates language, images, video, audio, and action sequences within a unified Mixture-of-Transformers architecture, supporting resolutions up to 720p across multiple aspect ratios. Ideal for large-scale simulation, synthetic data generation, and policy learning workflows.
With SageMaker JumpStart, customers can deploy any of these models with just a few clicks to address their specific AI use cases.
To get started with these models, navigate to the SageMaker JumpStart model catalog in the SageMaker console or use the SageMaker Python SDK to deploy the models to your AWS account. For more information about deploying and using foundation models in SageMaker JumpStart, see the Amazon SageMaker JumpStart documentation.
Quelle: aws.amazon.com

Der Beitrag Cosmos3-Edge, Cosmos3-Nano, and Cosmos3-Super models now available on Amazon SageMaker JumpStart erschien zuerst auf Cloud Computing Köln.

Amazon FSx for NetApp ONTAP now supports copying backups across AWS Regions and accounts

da Agency — Fri, 28 Aug 2026 02:41:34 +0000

Amazon FSx for NetApp ONTAP, a fully managed shared storage service built on NetApp’s popular ONTAP file system, now supports copying backups within and across AWS Regions, and across trusted accounts in your AWS organization. You can now provide an additional layer of protection for your data by storing secondary backup copies in a different Region or account than your primary copies, making it easier to meet your business continuity, data protection, and compliance requirements.
Amazon FSx offers secure, highly durable, and incremental backups designed to support your data retention, archival, and compliance needs. Backups are point-in-time offline copies of your volumes, stored redundantly across multiple Availability Zones in the same Region as your file system. Previously, you could create and restore backups in the same Region and account as your file system. Starting today, you can copy backup data to multiple Regions and accounts for enhanced resilience, data isolation, and operational flexibility.
You can copy new and existing backups in all AWS Regions where Amazon FSx for NetApp ONTAP is available. To learn more, visit the FSx for NetApp ONTAP user guide and the Amazon FSx for NetApp ONTAP product page.
Quelle: aws.amazon.com

Der Beitrag Amazon FSx for NetApp ONTAP now supports copying backups across AWS Regions and accounts erschien zuerst auf Cloud Computing Köln.