Amazon Augmented AI (Amazon A2I) is an AWS service that makes it easy to build the workflows required for human review of ML predictions (such as predictions from Amazon Rekognition, Amazon Textract, Amazon Translate or Amazon Comprehend). Amazon A2I provides you the option to work with human reviewers or “workers” inside your own organization through a private workforce, Amazon Mechanical Turk workforce of over 500,000 independent contractors, or vendor-managed workforces pre-screened by AWS for quality and security procedures. Starting today, for your private workforce, Amazon A2I provides additional metadata for each worker that reviews your data, enabling you to uniquely identify them and implement quality control for your workforce.
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Amazon EC2 has the cloud’s broadest and most capable portfolio of hardware-accelerated instances featuring GPUs, FPGAs, and our own custom ML inference chip, AWS Inferentia. G4dn instances offer the best price/performance for GPU based ML inference, training less-complex ML models, graphics applications others that need access to NVIDIA libraries such as CUDA, CuDNN and NVENC.
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Amazon Elastic Container Service (ECS) has added support for AWS PrivateLink in three additional regions: Africa (Cape Town), Europe (Milan), and Middle East (Bahrain).
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Amazon Aurora with PostgreSQL compatibility now supports T3.large instances, in addition to the T3.medium and R5 class instances already available. Using T3.large instances with Amazon Aurora PostgreSQL is a cost-effective option for smaller workloads such as test, dev, and QA, while still giving you the option to use larger class instances for production deployments.
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Amazon Aurora with PostgreSQL Compatibility has added support for managing the recovery point objective (RPO) in an Aurora PostgreSQL Global Database configuration.
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Following the announcement of updates to the PostgreSQL database, we have updated Amazon Aurora with PostgreSQL Compatibility to support PostgreSQL minor versions 11.7, 10.12, and 9.6.17. These releases contains bug fixes and improvements from the PostgreSQL community, as well as bug fixes and improvements specific to Aurora PostgreSQL.
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Starting today, new Amazon Elastic Compute Cloud (Amazon EC2) C5a instances featuring 2nd generation AMD EPYC™ processors running at frequencies up to 3.3 GHz are generally available. C5a instances are variants of Amazon EC2’s compute-optimized (C5) instance family and provide high performance at 10% lower cost over comparable instances. C5a instances deliver leading x86 price-performance for a broad set of compute-intensive workloads including batch processing, distributed analytics, data transformations, log analysis, and web applications.
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