Amazon digs into cloud hardware with on-prem racks, data center processors

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After the presentation, Jassy reflected the feedback the company had been getting; specifically that many companies simply didn't want (or couldn't afford) the potential upheaval that a move to a 100 percent cloud-based platform would entail.

The blockchain service and the new Quantum Ledger Database (QLDB) were unveiled at its AWS re:Invent annual user conference.

"When I first heard the announcement about AWS DeepRacer in the keynote, I was totally pumped and thought it was a great way to get people interested and started in reinforcement learning". "Amazon SageMaker RL, the pre-built models, and available frameworks made everything really accessible, such that in less than a day I was able to have this fantastic outcome. I'm excited to personalize my auto further, and I look forward to exploring SageMaker RL and AWS DeepRacer more".

The QLDB database, which is also a fully managed ledger service, allows the user to manage their network efficiently.

Amazon's new service is yet another facet of the Amazon Web Services (AWS), a subsidiary of the company that has dominated cloud computing. AWS in the quarter held 34 percent of the market, which is more than the next four competitors-Microsoft Azure, IBM, Google and Alibaba-combined. "When it comes to building their own machine learning model, many customers spend significant time developing algorithms and models that are solutions to problems that have already been solved".

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AWS Managed Blockchain is a managed blockchain service which supports Ethereum and Hyperledger Fabric. AWS Outposts is a fully managed and configurable compute and storage racks built with AWS-designed hardware, that allow customers to run compute and storage on-premises, while seamlessly connecting to the rest of AWS's broad array of services in the cloud. In addition, NAB is looking to Amazon Connect - a cloud-based contact center service - as a platform for contact center migration to power customer conversations and deliver on NAB's vision to provide exceptional customer service.

All told, AWS announced 13 new machine learning capabilities and services that run across all layers of the machine learning stack, which will no doubt give developers plenty of space to work and play in.

"Many of our customers want to build applications where multiple parties can execute transactions without a central, trusted authority, and they also need to create a blockchain network". To learn more about AWS, visit

Other AI services include Amazon "Textract" that extracts text and data from virtually any scanned document; Amazon "Personalize" and Amazon "Forecast" bring the same technology used by Amazon to developer, with no Machine Learning experience required; and Amazon "Comprehend Medical" tool provides Natural Language Processing (NLP) for medical information. Elastic Inference supports all popular frameworks, and is integrated with Amazon SageMaker and the Amazon EC2 Deep Learning Amazon Machine Image (AMI).

Personalization has always been at the forefront of Amazon's business strategy.