Nvidia Q4 profit of $43 billion was up 94% from $22.1 billion in Q4 2024 on sales of $68.1 billion up 73% from $39.3 billion in Q4 2024. Gross margin …

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Today, AWS WAF announced a new AI activity dashboard that provides centralized visibility into AI bot and agent traffic reaching your applications. With this launch, AWS WAF Bot Control expands its detection coverage to track more than 650 unique bots and agents, offering one of the most comprehensive AI bot detection catalogs available.

AI-powered bots and autonomous agents are rapidly reshaping web traffic patterns. AI search crawlers index content, retrieval-augmented generation (RAG) systems fetch data in real time, and autonomous agents execute multi-step tasks across APIs and web applications. Without clear visibility, this traffic can increase infrastructure costs, affect application performance, and access content in ways that may not align with your organization’s security or business policies.

The AI traffic analysis dashboard provides a centralized view of AI bot and agent traffic across your protected resources. You can visualize AI traffic trends over time, identify the most active bots and frequently accessed paths, analyze request volumes by bot category and verification status, and take action directly using AWS WAF Bot Control rules, such as allowing verified AI search crawlers while rate-limiting or blocking unverified agents.

AWS WAF Bot Control’s detection catalog now covers more than 650 unique bots and agents spanning categories including AI search engine crawlers, AI data collectors, AI assistants, and large language model training crawlers. The catalog is continuously updated, enabling customers to identify newly emerging AI bots as they appear.

For customers on flat-rate pricing plans , the dashboard is included with all paid plans. For WAF customers not subscribed to flat-rate plans, the AI traffic analysis dashboard is available at no additional cost. Refer to WAF pricing for details.

The new dashboard and expanded detection capabilities are available in all AWS Regions where AWS WAF is available.

To get started, visit the AWS WAF console or explore the AWS WAF Bot Control documentation .

Amazon S3 server access logs now include source region information, specifying which AWS Region requests to your data originate from. This identifies applications that are making cross-region requests, helping you to optimize cost and performance.

Source region information automatically appears at the end of each server access log entry with no additional configuration. For example, if your application requests data from your us-east-1 bucket from us-west-2, the log entry shows “us-west-2” as the source region.

This feature will be available in all AWS Regions in the coming weeks at no additional cost. To learn more about S3 server access log format and best practices, visit the S3 User Guide .

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C7i-flex and C7i instances are available in the Africa (Cape Town) region. These instances are powered by powered by custom 4th Generation Intel Xeon Scalable processors (code-named Sapphire Rapids) custom processors, available only on AWS, and offer up to 15% better performance over comparable x86-based Intel processors utilized by other cloud providers.

C7i-flex instances expand the EC2 Flex instances portfolio to provide the easiest way for you to get price performance benefits for a majority of compute intensive workloads, and deliver up to 19% better price-performance compared to C6i. C7i-flex instances offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don’t fully utilize all compute resources. With C7i-flex instances, you can seamlessly run web and application servers, databases, caches, Apache Kafka, and Elasticsearch, and more.

C7i instances deliver up to 15% better price-performance versus C6i instances and are a great choice for all compute-intensive workloads, such as batch processing, distributed analytics, ad serving, and video encoding. C7i instances offer larger instance sizes, up to 48xlarge, and two bare metal sizes (metal-24xl, metal-48xl). These bare-metal sizes support built-in Intel accelerators: Data Streaming Accelerator, In-Memory Analytics Accelerator, and QuickAssist Technology that are used to facilitate efficient offload and acceleration of data operations and optimize performance for workloads.

To learn more, visit Amazon EC2 C7i Instances . To get started, see the AWS Management Console .

AWS Backup now supports Amazon Neptune in five additional AWS Regions: Europe (Zurich), Asia Pacific (Melbourne), Canada West (Calgary), Asia Pacific (Malaysia), and Europe (Spain).

This expansion brings policy-based data protection and recovery to your Amazon Neptune clusters in these newly supported Regions.

To start protecting your Amazon Neptune clusters with AWS Backup, add your Amazon Neptune clusters to your existing backup plans or create a new backup plan, and attach your Neptune clusters to the newly created backup plan. To learn more about AWS Backup for Amazon Neptune clusters, visit the product page , pricing page , and documentation . To get started, visit the AWS Backup console , AWS Command Line Interface (CLI), or AWS SDKs.

Today, Amazon Location launched curated AI Agent context as a Kiro power , Claude Code plugin , and agent skill in the open Agent Skills format, usable by any compatible agent. Developers can use this context with generative AI tools such as Kiro, Claude Code, and Cursor to improve code accuracy, accelerate feature implementation, and reduce iteration time when adding Amazon Location-enabled capabilities to their applications. Amazon Location Service is a mapping service that offers geospatial data and location functionality such as maps, places search and geocoding, route planning, device tracking, and geofencing.

Once loaded by AI development tools, the curated Amazon Location context accelerates development of common location-based solutions such as address entry forms for delivery applications, map display, nearest-store lookup, and route visualization. The context includes pre-validated implementation patterns and step-by-step instructions for these use cases, allowing developers to focus on application-specific logic rather than API integration details.

Amazon Location Service is available in the following AWS Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Malaysia), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Spain), Europe (Stockholm), South America (São Paulo), and AWS GovCloud (US-West).

To get started, download and install the context to your agent of choice from the amazon-location-agent-context repository on GitHub , or learn more about using AI and LLMs to accelerate development with Amazon Location Service.

Today, AWS announces the general availability of metal-24xl and metal-48xl sizes for Amazon Elastic Compute Cloud (Amazon EC2) M8gn and M8gb instances. These instances are powered by AWS Graviton4 processors to deliver up to 30% better compute performance than AWS Graviton3 processors. M8gn instances feature the latest 6th generation AWS Nitro Cards, and offer up to 600 Gbps network bandwidth, the highest network bandwidth among network optimized EC2 instances. M8gb offers up to 300 Gbps of EBS bandwidth to provide higher EBS performance compared to same-sized equivalent Graviton4-based instances.

M8gn and M8gb instances offer instance sizes up to 48xlarge and metal-48xl, with up to 768 GiB of memory. M8gn instances offer up to 600 Gbps of networking bandwidth, up to 60 Gbps of bandwidth to Amazon Elastic Block Store (EBS), and are ideal for network-intensive workloads such as high-performance file systems, distributed web scale in-memory caches, caching fleets, real-time big data analytics, Telco applications such as 5G User Plane Function (UPF). M8gb instances offer up to 300 Gbps of EBS bandwidth, up to 400 Gbps of networking bandwidth, and are ideal for workloads requiring high block storage performance such as high-performance databases and NoSQL databases.

M8gn and M8gb instances support Elastic Fabric Adapter (EFA) networking on 16xlarge, 24xlarge, 48xlarge, metal-24xl, and metal-48xl sizes. EFA networking enables lower latency and improved cluster performance for workloads deployed on tightly coupled clusters.

The new metal-24xl and metal-48xl sizes are available in the AWS US East (N. Virginia) region. 

To begin your Graviton journey, visit the Level up your compute with AWS Graviton page . To get started, see AWS Management Console , AWS Command Line Interface (AWS CLI) , and AWS SDKs .

Amazon WorkSpaces Applications now supports up to 4K (4096 x 2160) resolution on non-accelerated instance types and across all client connection modes. Previously, higher resolution monitors were limited to graphics-accelerated instances in WorkSpaces Applications classic mode. This update allows you to choose the appropriate instance type and provide a better end-user experience that aligns with your hardware investments.

This new feature benefits customers by providing a consistent and high-quality streaming experience across instances regardless of hardware acceleration capabilities. Whether using native application mode, classic application mode, or desktop view, your end users can now enjoy up to 4K resolution if their display device supports it. This enhancement is particularly valuable for users with ultra-wide monitors (21:9 aspect ratio) at 4K resolution, ensuring applications display with optimal clarity and detail at the maximum supported resolution of 4K.

These features are available at no additional cost in all the AWS Regions  where WorkSpaces Applications is available. WorkSpaces Applications offers pay-as-you-go pricing . To get started with WorkSpaces Applications, see Amazon WorkSpaces applications: Getting started . 

To enable these features for your users, you must use a WorkSpaces Applications image that uses a WorkSpaces Applications agent  released on or after February 4, 2026, or an image that uses Managed WorkSpaces Applications image updates  released on or after February 18, 2026.

Starting today, Amazon EC2 M8i and M8i-flex instances are now available in Africa (Cape Town) 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 M8i and M8i-flex instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver up to 20% better performance than M7i and M7i-flex instances, with even higher gains for specific workloads. The M8i and M8i-flex instances 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 M7i and M7i-flex instances.

M8i-flex are the easiest way to get price performance benefits for a majority of general-purpose workloads like web and application servers, microservices, small and medium data stores, virtual desktops, and enterprise applications. They offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don’t fully utilize all compute resources.

M8i instances are a great choice for all general purpose workloads, especially for workloads that need the largest instance sizes or continuous high CPU usage. The SAP-certified M8i instances offer 13 sizes including 2 bare metal sizes and the new 96xlarge size for the largest applications.

To get started, sign in to the AWS Management Console . For more information about the new instances, visit the M8i and M8i-flex page or visit the AWS News blog.

Starting today, Amazon EC2 R8a instances are now available in Europe (Ireland) region. These instances, feature 5th Gen AMD EPYC processors (formerly code named Turin) with a maximum frequency of 4.5 GHz, deliver up to 30% higher performance, and up to 19% better price-performance compared to R7a instances.

R8a instances deliver 45% more memory bandwidth compared to R7a instances, making these instances ideal for latency sensitive workloads. Compared to Amazon EC2 R7a instances, R8a instances provide up to 60% faster performance for GroovyJVM, allowing higher request throughput and better response times for business-critical applications.

Built on the AWS Nitro System using sixth generation Nitro Cards, R8a instances are ideal for high performance, memory-intensive workloads, such as SQL and NoSQL databases, distributed web scale in-memory caches, in-memory databases, real-time big data analytics, and Electronic Design Automation (EDA) applications. R8a instances offer 12 sizes including 2 bare metal sizes. Amazon EC2 R8a instances are SAP-certified, and providing 38% more SAPS compared to R7a instances.

To get started, sign in to the AWS Management Console . For more information about the new instances, visit the Amazon EC2 R8a instance page .