10/28/2025, 12:00:00 AM ~ 10/29/2025, 12:00:00 AM (UTC)
Recent Announcements
Amazon EC2 Im4gn instances now available in AWS Europe (Milan) Region
Starting today, Amazon EC2 Im4gn Instances are available in Europe (Milan) region. Im4gn instances are built on the AWS Nitro System and are powered by AWS Graviton2 processors. They feature up to 30TB of instance storage with the 2nd Generation AWS Nitro SSDs that are custom-designed by AWS for the storage performance of I/O intensive workloads such as SQL/NoSQL databases, search engines, distributed file systems and data analytics. These instances help with transactions processed per second (TPS) for I/O intensive workloads such as relational databases (e.g. MySQL, MariaDB, PostgreSQL), and NoSQL databases (KeyDB, ScyllaDB, Cassandra) which have medium-large size data sets and can benefit from high compute performance and high network throughput. They are also an ideal fit for search engines, and data analytics workloads requiring fast access to data sets on local storage.\n The Im4gn instances also feature up to 100 Gbps networking and support for Elastic Fabric Adapter (EFA) for applications requiring high levels of inter-node communication. Get started with Im4gn instances by visiting the AWS Management Console, AWS Command Line Interface (CLI), or AWS SDKs. To learn more, visit the Im4gn instances page.
Amazon Kinesis Data Streams now supports 10x larger record sizes
Amazon Kinesis Data Streams now supports record sizes up to 10MiB, a tenfold increase from the previous 1MiB limit. This launch enables customers to publish intermittent larger data payloads in their data streams while continuing to use existing Kinesis Data Streams APIs in their applications. This launch is accompanied by a 2x increase in the maximum PutRecords request size from 5MiB to 10MiB.\n Amazon Kinesis Data Streams is a serverless data streaming service that enables customers to capture, process, and store real-time data streams at any scale. With this launch, customers no longer need to maintain separate processing pipelines for handling intermittent large records, and can thus simplify their data pipelines. This reduces operational overhead for IoT analytics, change data capture, and generative AI workloads. You can update your stream’s maximum record size up to 10 MiB using either the AWS Management Console or the UpdateMaxRecordSize API via the AWS SDK or CLI. Once your stream is configured, you can publish and consume larger records using existing Kinesis Data Streams APIs. You do not incur additional costs to use this capability beyond your regular Kinesis data streams charges. In conjunction with this launch, AWS Lambda now supports larger payloads up to 6MiB from Kinesis Data Streams. Amazon Kinesis Data Streams supports large records in the AWS Regions documented here. To learn more about using large records and how common downstream applications handle large records, please see our documentation.
Amazon EC2 I7i instances now available in additional AWS GovCloud (US) Regions
Amazon Web Services (AWS) announces the availability of high performance Storage Optimized Amazon EC2 I7i instances in the AWS GovCloud (US-East, US-West) Regions. Powered by 5th generation Intel Xeon Scalable processors with an all-core turbo frequency of 3.2 GHz, these new instances deliver up to 23% better compute performance and more than 10% better price performance over previous generation I4i instances. Powered by 3rd generation AWS Nitro SSDs, I7i instances offer up to 45TB of NVMe storage with up to 50% better real-time storage performance, up to 50% lower storage I/O latency, and up to 60% lower storage I/O latency variability compared to I4i instances.\n I7i instances offer the best compute and storage performance for x86-based storage optimized instances in Amazon EC2, ideal for I/O intensive and latency-sensitive workloads that demand very high random IOPS performance with real-time latency to access the small to medium size datasets (multi-TBs). Additionally, torn write prevention feature support up to 16KB block sizes, enabling customers to eliminate database performance bottlenecks. I7i instances are available in eleven sizes - nine virtual sizes up to 48xlarge and two bare metal sizes - delivering up to 100Gbps of network bandwidth and 60Gbps of Amazon Elastic Block Store (EBS) bandwidth. To learn more, visit the I7i instances page.
Announcing Amazon Nova Multimodal Embeddings
We are excited to announce the general availability of Amazon Nova Multimodal Embeddings, a state-of-the-art embedding model for agentic RAG and semantic search. It is the first unified embedding model that supports text, documents, images, video, and audio through a single model, to enable cross-modal retrieval with leading accuracy.\n Managing and searching across different content types traditionally required multiple specialized embedding models, leading to complexity, higher costs, and data silos. Amazon Nova Multimodal Embeddings maps diverse content types into a unified space with leading accuracy, helping break down these silos. Developers can build cross-modal applications that search video archives using complex queries, find relevant product images based on customer questions, or search financial documentation that contain both infographics and text explanations, all using a single embedding model. The model supports inputs of up to 8K tokens in length and video/audio segments up to 30 seconds, with the capability to segment larger files. Multiple output embedding dimensions allow organizations to balance accuracy and performance with storage and computation costs. Organizations can choose between synchronous API for near real-time applications and asynchronous API for efficient processing of larger files, enabling them to optimize for both latency-sensitive and high-volume workloads. Amazon Nova Multimodal Embeddings is available in US East (N. Virginia) in Amazon Bedrock. To learn more, read the AWS News blog and user guide. To get started with Nova Multimodal Embeddings in Amazon Bedrock, visit the Amazon Bedrock console.
Amazon EC2 R8i and R8i-flex instances are now available in Europe (London)
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R8i and R8i-flex instances are available in the Europe (London) 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% better 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.\n 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, and are a great first choice for applications that don’t fully utilize all compute resources. R8i instances are a great choice for all memory-intensive workloads, especially for workloads that need the largest instance sizes or continuous high CPU usage. R8i instances offer 13 sizes including 2 bare metal and the new 96xlarge size for the largest applications. R8i instances are SAP-certified and deliver 142,100 aSAPS, the highest among all comparable machines in on-premises and cloud environments, delivering exceptional performance for mission-critical SAP workloads. To get started, sign in to the AWS Management Console. Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. For more information about the new R8i and R8i-flex instances visit the AWS News blog.
AWS Resource Explorer supports 47 additional resource types
AWS Resource Explorer now supports 47 more resource types services including Amazon Bedrock, AWS Shield, and AWS Glue.\n With this release, customers can now search for the following resource types in AWS Resource Explorer:
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amplify:apps 26. profile:domains/object-types
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aoss:collection 27. resiliencehub:app
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app-integrations:application 28. route53-recovery-control:controlpanel/routingcontrol
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appconfig:application/environment 29. route53-recovery-readiness:cell
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appconfig:extensionassociation 30. s3:storage-lens-group
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bedrock:agent-alias 31. s3express:bucket
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cloudtrail:dashboard 32. sagemaker:monitoring-schedule
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comprehend:flywheel 33. shield:protection
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devicefarm:instanceprofile 34. shield:protection-group
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directconnect:dx-gateway
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ssm-incidents:response-plan
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elasticloadbalancing:listener/gwy
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verifiedpermissions:policy-store
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elasticloadbalancing:loadbalancer/gwy
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vpc-lattice:service
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fsx:backup
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vpc-lattice:service/listener
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glue:dataQualityRuleset
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vpc-lattice:servicenetwork
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glue:registry
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vpc-lattice:servicenetworkserviceassociation
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iottwinmaker:workspace/sync-job
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vpc-lattice:targetgroup
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ivs:encoder-configuration
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wafv2:ipset
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ivs:ingest-configuration
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wafv2:regexpatternset
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ivs:playback-restriction-policy
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wafv2:rulegroup
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ivs:storage-configuration
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wafv2:webacl
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lex:bot
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wisdom:content
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mediatailor:vodSource
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workspaces-web:portal
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network-firewall:stateful-rulegroup
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network-firewall:stateless-rulegroup
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profile:domains/integrations
To view a complete list of all supported types, see the supported resource types page.
Today, Amazon DocumentDB (with MongoDB compatibility) announces a new query planner, featuring advanced query optimization capabilities and improved performance. PlannerVersion 2.0 for Amazon DocumentDB (with MongoDB compatibility) 5.0 delivers up to 10x performance improvement over the prior version when using find and update operators with indexes. Performance improvements primarily come from using more optimal index plans and enabling index scan support for operators such as negation operators ($neq, $nin) and nested $elementMatch. PlannerVersion 2.0 queries run faster through better cost estimation techniques, optimized algorithms, and enhanced stability.\n PlannerVersion 2.0 also simplifies query syntax. For example, you no longer need to provide explicit hints for $regex queries to utilize indexes.
PlannerVersion 2.0 is available in all AWS Regions where Amazon DocumentDB 5.0 is supported. You can enable it by simply modifying the corresponding parameter in your cluster parameter group. The change does not require a cluster restart or cause any downtime. If needed, you can easily revert to using the legacy query planner. To learn more about the new query planner, see Getting Started with New Query Planner.
Amazon EC2 I7ie instances now available in AWS GovCloud (US) Region
AWS is announcing starting today, Amazon EC2 I7ie instances are now available in AWS GovCloud (US-West) region. Designed for large storage I/O intensive workloads, I7ie instances are powered by 5th Gen Intel Xeon Processors with an all-core turbo frequency of 3.2 GHz, offering up to 40% better compute performance and 20% better price performance over existing I3en instances. I7ie instances offer up to 120TB local NVMe storage density (highest in the cloud) for storage optimized instances and offer up to twice as many vCPUs and memory compared to prior generation instances. Powered by 3rd generation AWS Nitro SSDs, I7ie instances deliver up to 65% better real-time storage performance, up to 50% lower storage I/O latency, and 65% lower storage I/O latency variability compared to I3en instances.\n I7ie are high density storage optimized instances, ideal for workloads requiring fast local storage with high random read/write performance at very low latency consistency to access large data sets. These instances are available in 9 different virtual sizes and deliver up to 100Gbps of network bandwidth and 60Gbps of bandwidth for Amazon Elastic Block Store (EBS). To learn more, visit the I7ie instances page.
AWS Blogs
AWS News Blog
- Build more accurate AI applications with Amazon Nova Web Grounding
- Amazon Nova Multimodal Embeddings: State-of-the-art embedding model for agentic RAG and semantic search