At the 2018 New York Summit, AWS announced 13 new products on areas ranging from Machine Learning, Compute, Network & Content Delivery to Storage, and more.

All launches from the Summit can be viewed here, along with all launches from 2018, and the services announced during the keynote can be viewed below.

AWS Summit New York 2018: Keynote with Dr. Werner Vogels and Dr. Matt Wood
AWS Summit New York 2018: Keynote with Dr. Werner Vogels and Dr. Matt Wood

Three new Amazon EC2 instance types are coming soon to meet the specific use cases of AWS customers. Amazon EC2 Z1d instances deliver the highest sustained Turbo CPU clock speed in the public cloud, featuring a custom Intel® Xeon® Scalable processor with a sustained Turbo CPU clock speed of up to 4.0 GHz. In addition, coming soon are Amazon EC2 R5 instances, the next generation of memory optimized instances. R5 instances offer 3.1 GHz Intel® Xeon® Platinum 8000 series processors, with up to 50% more vCPUs and 60% more memory over R4 instances. R5 instances deliver 5% additional memory per vCPU and a 10% price per GiB improvement over R4 instances. Additionally, R5d instances have optional local storage, offering up to 3.6TB of NVMe-based SSDs. Learn More »

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Amazon SageMaker now supports high-throughput batch jobs for non-real-time requirements. Till now, processing batches of data for non-real-time inferencing needed to be done outside SageMaker using alternate methods. With the new Batch Transform capability, customers can process batch jobs within Amazon SageMaker, through a simple API call making the platform more flexible to use. Learn More »

Amazon SageMaker now supports pipe mode for its in-built TensorFlow containers. This results in training jobs to start and finish faster, needing less disk space and reducing your overall cost to train machine learning models on Amazon SageMaker. Learn More »

Amazon Transcribe will support a feature called channel synthesis to better handle audio where each speaker records on a different channel. Contact centers stand to benefit significantly by submitting the single audio file to Amazon Transcribe, which will identify the two channels, split them out, make transcriptions of each speaker per channel, and then produce a coherent merged transcript with channel labels. Learn More »

 

Amazon Translate has added the following six new languages that are highly requested by customers: Chinese (Traditional), Czech, Italian, Japanese, Russian, and Turkish. These languages expand upon the existing six languages already available in Amazon Translate: Arabic, Chinese (Simplified), French, German, Portuguese, and Spanish. Learn More »

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Amazon Comprehend now support Syntax analysis — enabling customers to analyze text using tokenization and Parts of Speech (PoS). The Amazon Comprehend Syntax API allows customers to obtain word boundaries and labels defining each words Part of Speech like nouns and adjectives. Learn More »


With Bring Your Own IP (BYOIP) on Amazon Virtual Private Cloud (VPC), you can use your own publicly-routable IP addresses to access AWS resources such as EC2 instances, Elastic Load Balancers and NAT Gateways. You can easily move to the cloud legacy applications that use IP addresses and retain the IP reputation of your web services. BYOIP simplifies the migration of your workloads to the AWS public cloud. Learn More »

 


Amazon S3 is increasing request rate performance to 3,500 requests per second to add data and 5,500 requests per second to retrieve data, which can save hours of data processing time for no additional charge. Customers can expect these request rates for each S3 object prefix, making it easy to increase performance exponentially by adding parallel processes for different prefixes. Learn More »

AWS Snowball Edge is a petabyte-scale data transport device with onboard storage and compute capabilities. Local pre-processing tasks can be performed using AWS Lambda serverless functions and now with Amazon EC2 instances. Customers may now build EC2 applications that can run on Snowball Edge devices in disconnected or remote locations to collect, store and process data before returning it to AWS. Learn More »

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