6/20/2024, 12:00:00 AM ~ 6/21/2024, 12:00:00 AM (UTC)

Recent Announcements

Amazon SageMaker HyperPod now supports configurable cluster storage

Today, AWS announces the general availability of configurable cluster storage for SageMaker HyperPod cluster instances, which enables customers to provision additional storage for model development. This launch allows you to centrally automate the provisioning and management of additional Elastic Block Store (EBS) volumes for your cluster instances. With configurable cluster storage, you can easily integrate additional storage capacity across all your cluster instances, empowering you to customize your persistent cluster environment to meet the unique demands of your distributed training workloads.\n Cluster storage on SageMaker HyperPod enables customers to dynamically allocate and manage storage resources within the cluster. Organizations can now scale their storage capacity on-demand, ensuring they have sufficient space for Docker images, logs, and custom software installations. This feature is particularly beneficial for foundation model developers working with extensive logging requirements and resource-intensive machine learning models, allowing them to effectively manage and store critical assets within a secure and scalable environment.

Record individual participants with Amazon IVS Real-Time Streaming

Amazon Interactive Video Service (Amazon IVS) Real-Time Streaming enables you to build real-time interactive video experiences. With individual participant recording, you can now record each live stream participant’s video or audio to Amazon Simple Storage Service (Amazon S3).\n When recording is enabled, each participant is automatically recorded and saved as a separate file in the Amazon S3 bucket you select. This new individual recording option is in addition to the existing composite recording feature, which combines all participants into one media file. There is no additional cost for enabling individual participant recording, but standard Amazon S3 storage and request costs apply. Amazon IVS is a managed live streaming solution that is designed to be quick and easy to set up, and ideal for creating interactive video experiences. Video ingest and delivery are available around the world over a managed network of infrastructure optimized for live video. Visit the AWS region table for a full list of AWS Regions where the Amazon IVS console and APIs for control and creation of video streams are available. To get started, see the following resources:

Recording

Individual Participant Recording

Amazon Chime SDK meetings is now available in the Africa (Cape Town) Region

Amazon Chime SDK now offers WebRTC meetings with API endpoints in the Africa (Cape Town) Region. With this release, Amazon Chime SDK developers can add one-to-one and group meetings with real-time audio and video to web and mobile applications from the Africa (Cape Town) Region. This release also includes the ability to connect clients to audio and video media hosted in the Africa (Cape Town) Region.\n When creating meetings applications with Amazon Chime SDK, developers call API endpoints to create, update, and delete one-to-one and group meetings. The region selected for the API endpoint can impact the latency for API calls and helps control the location of meeting data, since the region is also where meeting events are received and processed. Developers using the Africa (Cape Town) Region API endpoints to create and manage Amazon Chime SDK meetings must also use the same AWS region for media because Africa (Cape Town) is an opt-in region. Developers using any of the other available control regions to create and manage their meetings can also opt-in so they can host the media for the meeting in the Africa (Cape Town) Region. Developers can opt-in to use the Africa (Cape Town) Region by opting-in through their AWS account.

Amazon RDS for SQL Server supports up to 64TiB and 256,000 IOPS with io2 Block Express volumes

Amazon RDS for SQL Server now offers enhanced storage and performance capabilities, supporting up to 64TiB of storage and 256,000 I/O operations per seconds (IOPS) with io2 Block Express volumes. This represents an improvement from the previous limit of 16 TiB and 64,000 IOPS with IO2 Block Express. These enhancements enable transactional databases and data warehouses to handle larger workloads on a single Amazon RDS for SQL Server database instance, eliminating the need to shard data across multiple instances.\n The support for 64TiB and 256,000 IOPS with io2 Block Express for Amazon RDS for SQL Server is now generally available in all AWS regions where Amazon RDS io2 Block Express volumes are currently supported. To learn more, please visit the Amazon RDS User’s Guide.

Anthropic’s Claude 3.5 Sonnet model now available in Amazon Bedrock

Anthropic’s Claude 3.5 Sonnet foundation model is now generally available in Amazon Bedrock. Anthropic’s most intelligent model to date, Claude 3.5 Sonnet, sets a new industry standard for intelligence. The model outperforms other generative AI models in the industry as well as Anthropic’s previously most intelligent model, Claude 3 Opus, on a wide range of evaluations, all while being one-fifth of the cost of Opus. You can now get intelligence better than Claude 3 Opus, at the same cost of Anthropic’s original Claude 3 Sonnet model.\n The frontier intelligence displayed by Claude 3.5 Sonnet combined with cost-effective pricing, makes this model ideal for complex tasks such as context-sensitive customer support, orchestrating multi-step workflows, streamlining code translations, and creating user-facing applications. Claude 3.5 Sonnet exhibits marked improvements in near-human levels of comprehension and fluency. The model represents a significant leap in understanding nuance, humor, and complex instructions. It is exceptional at writing high-quality content that feels more authentic with a natural and relatable tone. Claude 3.5 Sonnet is also Anthropic’s strongest vision model, providing best-in-class vision capabilities. It can accurately interpret charts and graphs and transcribe text from imperfect images—a core capability for retail, logistics, and financial services, where AI may glean more insights from an image, graphic, or illustration than from text alone. Additionally, when instructed and provided with the relevant tools, Claude 3.5 Sonnet can independently write and edit code with sophisticated reasoning and troubleshooting capabilities.

Amazon RDS for Oracle now supports Oracle Multitenant in the AWS GovCloud (US) Regions

Amazon Relational Database Service (Amazon RDS) for Oracle now supports the Oracle Multitenant configuration on Oracle Database versions 19c and 21c running Oracle Enterprise Edition or Standard Edition 2 in the AWS GovCloud (US) Regions. With this release, the Amazon RDS for Oracle DB instance can operate as a multitenant container database (CDB) hosting one or more pluggable databases (PDBs). A PDB is a set of schemas, schema objects, and non-schema objects that logically appears to a client as a non-CDB.\n With Oracle Multitenant, you have the option to consolidate standalone databases by either creating them as PDBs or migrating them to PDBs. Database consolidation can deliver improved resource utilization for DB instances, reduced administrative load, and potential reduction in total license requirements. To create a multitenant Amazon RDS for Oracle DB instance, simply create an Oracle DB instance in the AWS Management Console or using the AWS CLI, and specify the Oracle multitenant architecture and multitenant configuration. You may also convert an existing non-CDB instance to the CDB architecture, and then modify the instance to the multitenant configuration to enable it to hold multiple PDBs. Amazon RDS for Oracle DB instances are charged at the same rate whether the instance is a non-CDB or a CDB in either the single-tenant or multi-tenant configuration. Amazon RDS for Oracle allows you to set up, operate, and scale Oracle database deployments in the cloud. See Amazon RDS for Oracle Pricing for up-to-date pricing and regional availability.

Amazon Bedrock now supports compressed embeddings from Cohere Embed

Amazon Bedrock now supports compressed embeddings (int8 and binary) from the Cohere Embed model, enabling developers and businesses to build more efficient generative AI applications without compromising on performance. Cohere Embed is a leading text embedding model. It is most frequently used to power Retrieval-Augmented Generation (RAG) and semantic search systems.\n The text embeddings output by the Cohere Embed model must be stored in a database with vector search capabilities, with storage costs being directly related to the dimensions of the embedding output as well as the number format precision. Cohere’s compression-aware model training techniques allows the model to output embeddings in binary and int8 precision format, which are significantly smaller in size than the often used FP32 precision format, with minimal accuracy degradation. This unlocks the ability to run your enterprise search applications faster, cheaper, and more efficiently. int8 and binary embeddings are especially interesting for large, multi-tenancy setups, where the ability to search millions of embeddings within milliseconds is a critical business advantage. Cohere’s compressed embeddings allow you to build applications which are efficient enough to put into production at scale, accelerating your AI strategy to support your employees and customers. Cohere Embed int8 and binary embeddings are now available in Amazon Bedrock in all the AWS Regions where the Cohere Embed model is available. To learn more, read the Cohere in Amazon Bedrock product page, documentation, and Cohere launch blog. To get started with Cohere models in Amazon Bedrock, visit the Amazon Bedrock console.

AWS CodeArtifact now supports Cargo, the Rust package manager

Today, AWS announces the general availability of Cargo support in CodeArtifact. Crates, which are used to distribute Rust libraries, can now be stored in CodeArtifact.\n Cargo, the package manager for the Rust programming language, can be used to publish and download crates from CodeArtifact repositories. Developers can configure CodeArtifact to fetch crates from crates.io, the Rust community’s crate hosting service. When Cargo is connected to a CodeArtifact repository, CodeArtifact will automatically fetch requested crates from crates.io and store them in the CodeArtifact repository. By storing both private first-party crates and public, third-party crates in CodeArtifact, developers can access their critical application dependencies from a single source. CodeArtifact support for Cargo is available in all 13 CodeArtifact regions. To learn more, see AWS CodeArtifact.

AWS Compute Optimizer supports rightsizing recommendations for Amazon RDS MySQL and RDS PostgreSQL

AWS Compute Optimizer now provides recommendations for Amazon RDS MySQL and RDS PostgreSQL DB instances and storage. These recommendations help you identify idle databases and choose the optimal DB instance class and provisioned IOPS settings, so you can reduce costs for over-provisioned workloads and increase the performance of under-provisioned workloads.\n AWS Compute Optimizer automatically discovers your Amazon RDS MySQL and RDS PostgreSQL DB instances and analyzes Amazon CloudWatch metrics such as CPU utilization, read and write IOPS, and database connections to generate recommendations. If you enable Amazon RDS Performance Insights on your DB instances, Compute Optimizer will analyze additional metrics such as DBLoad to give you more insights to choose the optimal DB instance configurations. With these metrics, Compute Optimizer delivers idle and rightsizing recommendations to help you optimize your RDS DB instances. This new feature is available in all AWS Regions where AWS Compute Optimizer is available except the AWS GovCloud (US) and the China Regions. To learn more about the new feature updates, please visit Compute Optimizer’s product page and user guide.

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