All news with #product release tag

Unit 42 and AWS Launch No-Cost Incident Response Retainer

🔒 Palo Alto Networks Unit 42 and Amazon Web Services have expanded their partnership to offer a no-cost Unit 42 Incident Response Retainer in AWS Marketplace for qualified customers. The retainer provides 250 hours of initial incident response, a 2-hour response SLA and 24/7/365 access to Unit 42’s incident response team. The offering is designed to accelerate containment, enable holistic investigations across cloud and enterprise environments, and reduce procurement overhead while providing preferred pricing for proactive services.

Amazon Nova Forge: Build Frontier Models with Nova

🚀 Amazon Web Services announced general availability of Nova Forge, a SageMaker AI service that enables organizations to build custom frontier models from Nova checkpoints across pre-, mid-, and post-training phases. Developers can blend proprietary data with Amazon-curated datasets, run Reinforcement Fine Tuning (RFT) with in-environment reward functions, and apply custom safety guardrails via a built-in responsible AI toolkit. Nova Forge includes early access to Nova 2 Pro and Nova 2 Omni and is available today in US East (N. Virginia).

Amazon OpenSearch: GPU-Accelerated Auto-Optimized Vectors

🚀Amazon OpenSearch Service now offers GPU-accelerated, auto-optimized vector indexes that let teams build billion-scale vector databases in under an hour. Serverless GPU acceleration can speed index builds up to 10X while reducing indexing cost to roughly a quarter of previous expenses. Auto-optimize jobs evaluate k-NN algorithms, quantization, and engine settings against specified latency and recall targets to produce configuration recommendations without manual tuning. These capabilities support vector collections and OpenSearch 2.17+/3.1+ domains across multiple regions.

Amazon EC2 Trn3 UltraServers for Faster AI Training

🚀 AWS announced general availability of Amazon EC2 Trn3 UltraServers, powered by the new 3nm Trainium3 AI chip designed to deliver improved token economics for agentic, reasoning, and video-generation workloads. Each Trainium3 chip provides 2.52 PFLOPs (FP8), 144 GB of HBM3e, and 4.9 TB/s memory bandwidth, and servers can scale to 144 chips or to hundreds of thousands via EC2 UltraClusters. The platform includes the AWS Neuron SDK with native PyTorch integration so developers can train and deploy without changing model code, while performance engineers gain deeper access to tune kernels and optimize at scale.

AWS announces compute-optimized Amazon EC2 C8a instances

🚀 Amazon Web Services announced the general availability of Amazon EC2 C8a instances powered by 5th Gen AMD EPYC (Turin) processors with up to 4.5 GHz frequency. AWS says C8a delivers up to 30% higher performance, up to 19% better price-performance versus C7a, 33% more memory bandwidth, and up to 57% faster GroovyJVM performance for Java workloads. The family includes 12 sizes, two bare-metal options, and is built on the AWS Nitro System for high-performance compute use cases such as HPC, batch processing, ad serving, multiplayer gaming, and video encoding. C8a instances are initially available in US East (N. Virginia), US East (Ohio), and US West (Oregon) and can be purchased via Savings Plans, On-Demand, or Spot.

Amazon Nova Act: Automate Production UI Workflows at Scale

🚀 AWS announced general availability of Amazon Nova Act, a service for building and managing fleets of reliable agents that automate production UI workflows. Powered by a custom Nova 2 Lite model, Nova Act can complete repetitive browser tasks, call APIs or tools, and escalate to human supervisors when needed. Developers can combine natural language with deterministic Python, prototype in the online playground, refine scripts with the Nova Act IDE extension, and deploy to AWS quickly. Nova Act is available today in US East (N. Virginia).

Amazon S3 Batch Operations: Up to 10x Faster at Scale

⚡Amazon S3 Batch Operations now finishes jobs up to 10x faster and supports jobs that include up to 20 billion objects, accelerating large-scale storage tasks. S3 pre-processes objects, runs operations, and generates completion reports with no extra configuration or cost. Typical uses include copying between buckets, tagging for lifecycle policies, and computing checksums. The upgrade is available in all AWS Regions except China and GovCloud (US).

Amazon CloudWatch Unified Data Management and Analytics

🔎 Amazon CloudWatch now provides unified data management and analytics to consolidate operational, security, and compliance data across AWS and third-party sources. The launch enables organization-wide ingestion from AWS sources such as AWS CloudTrail, Amazon VPC, and Amazon WAF, plus managed collectors for CrowdStrike, Okta, and Palo Alto Networks. Customers can use pipelines to transform and enrich logs to standard formats like OCSF and define facets for faster insights. Data can be stored in managed Amazon S3 Tables at no additional storage charge and queried natively or with any Apache Iceberg-compatible analytics tool.

Amazon S3 Tables: Automatic Cross-Region Iceberg Replication

🔁 Amazon S3 Tables now support automatic replication of Apache Iceberg tables across AWS Regions and accounts, duplicating full table structure, snapshots, and metadata to destination buckets. The feature creates read-only replica tables, backfills them to the source's latest state, and continuously monitors for updates while allowing independent snapshot retention and encryption settings per replica. Replicas are queryable with Amazon SageMaker Unified Studio or any Iceberg-compatible engine such as Amazon Athena, Amazon Redshift, Apache Spark, and DuckDB. This capability is available in all Regions where S3 Tables are supported.

AWS Security Agent preview: AI-driven development security

🔒 AWS today announced the preview of AWS Security Agent, an AI-powered agent that automates security validation across the application development lifecycle. The service lets security teams define organizational requirements once and then evaluates architecture and code against those standards, offering contextual remediation guidance. For deployments, it performs context-aware penetration testing and logs API activity to CloudTrail; the preview is available in US East (N. Virginia). AWS states customer data and queries are not used to train models.

AWS Support transforms support with AI-driven plans

🤖 AWS Support has restructured its support portfolio into three AI-driven plans: Business Support+, Enterprise Support, and Unified Operations. Each tier layers faster response times, proactive guidance, and AI-assisted operations while combining generative AI with AWS engineering expertise. Highlights include 24/7 contextual AI assistance, designated TAMs, integrated security incident response, and the preview AWS DevOps Agent for one-click context sharing and proactive incident prevention. These plans are available in all commercial AWS Regions.

AWS AI Factories: Dedicated High-Performance AI Infrastructure

🚀 AWS AI Factories are now available to deploy high-performance AWS AI infrastructure inside customer data centers, combining AWS Trainium, NVIDIA GPUs, low-latency networking, and optimized storage. The service integrates Amazon Bedrock and Amazon SageMaker to provide immediate access to foundation models without separate provider contracts. AWS manages procurement, setup, and operations while customers supply space and power, enabling isolated, sovereign deployments that accelerate AI initiatives.

Amazon EC2 M4 Max Mac instances (Preview) for Apple builds

🚀 Amazon Web Services is previewing Amazon EC2 M4 Max Mac instances, powered by the latest Mac Studio hardware to accelerate demanding Apple build and test workflows. These next-generation Mac instances target developers building for iOS, macOS, iPadOS, tvOS, watchOS, visionOS, and Safari. M4 Max offers a 16-core CPU, 40-core GPU, 16-core Neural Engine, and 128 GB unified memory, plus Nitro-based networking and EBS bandwidth to support large-scale CI/CD and testing.

Amazon Announces Nova 2 Sonic for Real‑Time Voice AI

🎙️ Amazon announced Amazon Nova 2 Sonic, a speech-to-speech model for natural, real-time conversational AI available via Amazon Bedrock. The model delivers streaming speech understanding robust to background noise and diverse speaking styles, expressive polyglot voices, turn-taking controllability, asynchronous tool calling, and a one‑million token context window. Developers can integrate Nova 2 Sonic with Amazon Connect, leading telephony providers, open-source frameworks, and Bedrock’s bidirectional streaming API; it’s initially available in select AWS Regions.

AWS announces Amazon Nova 2 models in Amazon Bedrock

🤖AWS has introduced Amazon Nova 2, a next-generation family of foundation models now available in Amazon Bedrock. The release includes Nova 2 Lite, optimized for fast, cost-effective reasoning for everyday workloads, and Nova 2 Pro (Preview), designed for complex, multistep tasks. Both models support step-by-step reasoning, three thinking intensity levels, built-in tools such as code interpreter and web grounding, remote MCP tool support, and a one-million-token context window. Nova 2 Lite supports supervised fine-tuning on Bedrock and SageMaker; full fine-tuning is available on SageMaker. Nova 2 Pro is available in preview for Amazon Nova Forge customers with global cross-region inference.

AWS launches Database Savings Plans for databases worldwide

🚀 Today AWS introduced Database Savings Plans, a flexible pricing model that offers up to 35% savings in exchange for a one-year commitment measured in $/hour with no upfront payment. Discounts apply automatically to eligible serverless and provisioned usage across engines, instance families, sizes, deployment options, and Regions. The offer supports Amazon Aurora, Amazon RDS, Amazon DynamoDB, Amazon ElastiCache, Amazon DocumentDB, Amazon Neptune, Amazon Keyspaces, Amazon Timestream, and AWS DMS. Database Savings Plans are available now in all AWS Regions except China and can be purchased from the Billing console or via the AWS CLI.

Amazon S3 Raises Maximum Object Size to 50 TB Globally

📦 Amazon S3 now supports individual objects up to 50 TB, a 10× increase over the previous 5 TB limit. The change applies across all S3 storage classes and AWS Regions, enabling single-file storage of very large assets such as high-resolution video, seismic datasets, and AI training corpora. Use the AWS Common Runtime (CRT) and S3 Transfer Manager in the AWS SDK to optimize uploads and downloads; standard S3 features like S3 Lifecycle and S3 Replication continue to operate on these large objects.

Amazon EMR Serverless Removes Local Storage Provisioning

🚀 Amazon EMR Serverless now provides fully managed serverless local storage for Apache Spark workloads, removing the need to provision disk type or size per application. The service offloads intermediate operations such as shuffle to an auto-scaling, encrypted serverless storage with job-level isolation, so customers pay only for compute and memory consumed. This reduces disk-related job failures and can lower costs by up to 20%. It is generally available for EMR release 7.12 and later.

Amazon RDS for Oracle and SQL Server: 256 TiB Storage

🔔Amazon Relational Database Service (Amazon RDS) for Oracle and SQL Server now supports up to 256 TiB of storage per database instance — a fourfold increase in per-instance capacity. Customers can attach up to three additional 64 TiB storage volumes alongside the primary volume and add, scale, or remove those volumes without application downtime. Administrators can mix high-performance Provisioned IOPS SSD (io2) volumes with cost-optimized gp3 volumes to balance performance and cost. Additional storage volumes can be created or managed via the AWS Management Console, AWS CLI, or SDKs and are available in all commercial and AWS GovCloud (US) Regions.

AWS Security Hub Adds Near Real-Time Risk Analytics

🔒 AWS announces general availability of AWS Security Hub, adding near real-time risk analytics, advanced trends, unified enablement, and streamlined pricing across AWS security services. Security Hub correlates and enriches signals from Amazon GuardDuty, Amazon Inspector, and AWS Security Hub CSPM to surface and prioritize active risks. Centralized deployment across AWS Organizations, attack-path visualization, and automated workflows reduce manual correlation and speed remediation at scale.