ibusinesslines.com
ibusinesslines.com December 09, 2018


Amazon’s cloud unit follows Google into the A.I. chip market

01 December 2018, 07:31 | Melissa Porter

Credit Dreamstime

Credit Dreamstime

Yssel explains "Thanks to tight integrations with AWS, Linx gives you an easy way to manage the complexities of working with the AWS API to intelligently design, deploy and manage a dynamic infrastructure, including databases, applications and legacy systems".

And they want all of this without sacrificing the speed and agility of AWS.

AWS Outposts are fully managed and configurable compute and storage racks built with AWS-designed hardware. "It is a great place for developers and customers", informed Jassy.

Looking to compete seriously in the hybrid market, No. 4 cloud provider IBM also made a hybrid cloud power play last month with the announcement of a $34 billion acquisition Red Hat.

Customers can run automated, continuous configuration and compliance checks based on industry standards and best practices, such as the Center for Internet Security (CIS) AWS Foundations Benchmark, identifying specific accounts and resources that require attention.

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking.

AWS Inferentia provides hundreds of teraflops per chip and thousands of teraflops per Amazon EC2 instance for multiple frameworks (including TensorFlow, Apache MXNet, and PyTorch), and multiple data types (including INT-8 and mixed precision FP-16 and bfloat16).

Expanding its partnership with VMware, Amazon Web Services (AWS) has announced launching its own datacenter hardware on premises through AWS Outposts.


Jonas Caino, vice president of global sales at Etix Everywhere said the news is "testament to the strength and continued growth of the data-driven marketplace".

"Building a scalable blockchain network with existing technologies is just too hard today, and that's why customers pay expensive consultants to help them".

AWS Lake Formation removes much of this heavy lifting, allowing customers to build a data lake in a matter of days. The fully autonomous race vehicle uses reinforcement learning models from SageMaker and allows the developers to race against each other for prizes in their own DeepRacer League.

More can be learned about Amazon's new offering on the QLDB website. They can also process their data using AWS services, like for analytics, storage, processing, and streaming. At a specially-constructed racing area in the MGM Grand Garden Arena dubbed the "AWS DeepRacer MGM Speedway", developers tested their reinforcement learning models and had their lap times with their cars recorded onto a Speedway Leaderboard.

With the machine learning service, the cancer center was able to drastically reduce the time required to index patients who may be eligible for clinical trials based on their conditions and medical histories.

AWS Lake Formation also provides a centralised, customisable catalogue which describes available data sets and their appropriate business use.

Amazon SageMaker was first announced previous year and has since become one of the fastest growing services in AWS' growing arsenal, according to a blog by AWS' Shaun Ray, senior manager of developer relations.



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