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Starting today, Amazon Elastic Cloud Compute (Amazon EC2) P6-B300 instances are available in the AWS GovCloud (US-East) Region. P6-B300 instances provide 8x NVIDIA 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) and AWS GovCloud (US-East). To learn more about P6-B300 instances, visit

AWS Transform is now available through two additional developer tools — including Kiro and VS Code. AWS Transform is an agentic migration and modernization factory designed to compress enterprise transformation 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.. With today’s launch, you can get started with AWS Transform custom transformations from wherever you already work: install the AWS Transform Power in Kiro, or install the AWS Transform extension in VS Code . AWS Transform custom transformations help you crush tech debt at scal

AWS Secrets Manager now supports hybrid post-quantum key exchange using ML-KEM (Module-Lattice-based Key-Encapsulation Mechanism) to secure TLS connections for retrieving and managing secrets. This protection is automatically enabled in Secrets Manager Agent (version 2.0.0+), AWS Lambda Extension (version 19+), and Secrets Manager CSI Driver (version 2.0.0+). For SDK-based clients, hybrid post-quantum key exchange is available in supported AWS SDKs including Rust, Go, Node.js, Kotlin, Python (with OpenSSL 3.5+), and Java v2 (v2.35.11+). With this launch, your applications retrieve secrets over TLS connections that combine classical key exchange with post-quantum cryptography, helping protect against both traditional cryptographic attacks and future quantum computing threats known as "harvest now, decrypt later" (HNDL). No code changes, configuration updates, or migration effort are required for customers using the latest client versions except for Ja

Today, AWS announces increased Amazon Elastic Block Store (Amazon EBS) performance for Amazon EC2 C8gn, M8gn, and R8gn instances in 48xlarge and metal-48xl sizes. EC2 C8gn, M8gn, and R8gn instances are network optimized instances powered by AWS Graviton4 processors and latest 6th generation AWS Nitro Cards. With the latest enhancements to AWS Nitro System, we have doubled the maximum EBS performance on these instances in 48xlarge and metal-48xl sizes, from 60 Gbps of EBS bandwidth and 240,000 IOPS to 120 Gbps of EBS bandwidth and 480,000 IOPS. Customers running network-intensive workloads while requiring additional block storage performance such as data analytics and high-performance file systems can benefit from the improved EBS performance. All existing and new C8gn, M8gn, and R8gn instances in 48xlarge and metal-48xl sizes launched starting today will benefit from this performance increase at no additional cost. For running instances, customers can stop and start

NVIDIA’s Nemotron-3-Super-120B, Qwen3.5-9B, and Qwen3.5-27B models are now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers. These three models bring specialized capabilities spanning agentic reasoning, multilingual coding, and advanced instruction following, enabling customers to deploy high-performance, scalable AI solutions on AWS infrastructure. These models address different enterprise AI challenges with specialized capabilities: Nemotron-3-Super-120B is optimized for collaborative agents and high-volume workloads such as IT ticket automation. It employs a hybrid Latent Mixture-of-Experts (LatentMoE) architecture with Mamba-2 and MoE layers, enabling strong agentic, reasoning, and conversational capabilities useful for multi-agent applications like software development and cybersecurity triaging. Qwen 3.5 9B excels in multilingual coding, instruction following, and long-horizon planni

Amazon OpenSearch Serverless introduces support for Derived Source, a new feature that can help reduce the amount of storage required for your OpenSearch Service collections. With derived source support, you can skip storing source fields and dynamically derive them when required.  With Derived Source, OpenSearch Serverless reconstructs the _source field on the fly using the values already stored in the index, eliminating the need to maintain a separate copy of the original document. This can significantly reduce storage consumption, particularly for time-series and log analytics collections where documents contain many indexed fields. You can enable derived source at the index level when creating or updating index mappings. Derived Source support is available today in all AWS Regions where Amazon OpenSearch Serverless is supported. For more information, see

Amazon Redshift further optimizes the processing of top-k queries (queries with ORDER BY and LIMIT clauses) by intelligently skipping irrelevant data blocks to return results faster, dramatically reducing the amount of data processed. This optimization reorders and efficiently adjusts the data blocks to be read based on the ORDER BY column's min/max values, maintaining only the K most qualifying rows in memory. When the ORDER BY column is sorted or partially sorted, Amazon Redshift now processes only the minimal data blocks needed rather than scanning entire tables, eliminating unnecessary I/O and compute overhead. This enhancement particularly benefits top-k queries when the data permanently stores in descending order (ORDER BY ... DESC LIMIT K) on large tables where qualifying rows are appended at the end of the data storage. Common examples include: Finding the k most recent orders from millions or billio

Amazon Quick now supports document-level access controls (ACLs) for Google Drive knowledge bases, enabling organizations to maintain native Google Drive permissions when indexing content. Quick combines ACL replication for efficient pre-retrieval filtering with an additional layer of real-time permission checks directly with Google Drive at query time. This dual approach means you get the performance benefits of indexed ACLs while also guarding against stale or incorrectly mapped permission data. When a user submits a query, Quick verifies their current permissions with Google Drive before generating a response—ensuring answers are based on live access rights. With document-level access controls, Amazon Quick now respects individual file and folder permissions from Google Drive. This feature is available in all AWS Regions where Amazon Quick is available. To g

Today we are announcing the release of the Aurora DSQL Connector for PHP (PDO_PGSQL) that makes it easy to build PHP applications on Aurora DSQL. The PHP Connector streamlines authentication and eliminates security risks associated with traditional user-generated passwords by automatically generating tokens for each connection, ensuring valid tokens are always used while maintaining full compatibility with existing PDO_PGSQL features. The connector handles IAM token generation, SSL configuration, and connection pooling, enabling customers to scale from simple scripts to production workloads without changing their authentication approach. It also provides opt-in optimistic concurrency control (OCC) retry with exponential backoff, custom IAM credential providers, and AWS profile support, making it easier to develop client retry logic and manage AWS credentials. To get started, visit the

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R8i and R8i-flex instances are available in the AWS GovCloud (US-West) Region. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. The R8i and R8i-flex instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver 20% higher performance than R7i instances, with even higher gains for specific workloads. They are up to 30% faster for PostgreSQL databases, up to 60% faster for NGINX web applications, and up to 40% faster for AI deep learning recommendation models compared to R7i. R8i-flex, our first memory-optimized Flex instances, are the easiest way to get price performance benefits for a majority of memory-intensive workloads. They offer the most common sizes, from large to 16xlarge, an