AWS offers devs tiny autonomous vehicles for machine learning

Amazon has launched a range of machine learning services for AWS

Amazon Web Services has unveiled two new distributed ledger services one blockchain-based and the other a fully-managed ledger database. The move is also another development from the world's leading cloud computing company that will directly impact a smaller tech company built around an open-source project.

CEO Andy Jassy announced the launch of Amazon Quantum Ledger Database (QLDB) and Amazon Managed Blockchain according to Zdnet. These customers would like to be able to run AWS compute and storage on-premises, and also easily and seamlessly integrate these on-premises workloads with the rest of their applications in the AWS Cloud.

Amongst a slew of announcements at AWS re:Invent this week, one that has caught the attention of channel partners, technology partners and enterprises alike is the evolution of AWS Marketplace. Right now SageMaker Neo is restricted to deploying models to "Amazon EC2 instances, Amazon SageMaker endpoints, and devices managed by AWS IoT Greengrass".

The new service, called Outposts, lets users choose between on premises servers and storage, which they can order in quarter, half, and full rack units.

"VMware Cloud on AWS has seen great momentum since we introduced it together in 2017, and this marks another step forward in our collaboration to enable customers to run VMware Cloud on AWS locally on AWS Outposts", said Sandy Carter, vice president, EC2 Enterprise Workloads, Amazon Web Services.

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"Customers can use either Ethereum or Hyperledger Fabric, the two most popular blockchain frameworks, and get a functioning blockchain network set up with just a few clicks", Pathak added. The other flavor is for customers who prefer the same APIs and control plane they're used to running in AWS' cloud, but want it on-premises, they can use the AWS-native variant of AWS Outposts.

A lot of the ML services and capabilities announced this year are interesting but a particularly fun one is the AWS DeepRacer, a $399 (R5 456) autonomous toy auto, which is one-eighteenth the size of a real race vehicle, which aims to help developers get rolling with machine learning. AWS on its website commented on its managed blockchain service informing on how it will operate. "So, we tried to reimagine what customers really wanted when running in hybrid mode, and developed AWS Outposts". For example, VMware NSX can help bridge AWS Outposts to local data center networks or leverage AppDefense to protect known good applications as well as VMware's vRealize Automation for workload provisioning. Many applications, however, must reside on-premises due to requirements such as latency, data gravity and ownership models, and therefore have historically been excluded from offering these public cloud benefits. Amazon Personalize is a real-time personalization and recommendation service.

AWS said it has already launched more than 200 machine learning capabilities in the past 12 months.

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