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Bringing the Magic of Amazon AI and Alexa to Apps on AWS.

All Things Distributed

Last week, I wrote a blog about helping the machine learning scientist community select the right deep learning framework from among many we support on AWS such as MxNet, TensorFlow, Caffe, etc. Developers can build, test, and deploy chatbots directly from the AWS Management Console.

AWS 165
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The Cloud is Not a Railroad - An Argument Against the Vertical Separation of Cloud Providers

High Scalability

There is no structural separation as there is with a train service. Each cloud-native evolution is about using the hardware more efficiently. For example, AWS created Nitro. Nitro is a revolutionary combination of purpose-built hardware and software designed to provide performance and security.

Cloud 187
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. The multi-cloud platform allows you to deploy and manage on AWS, Azure or Google Cloud (coming soon) cloud platforms, or VMware on-premise environments. over Greenplum 5.

Big Data 321
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Python at Netflix

The Netflix TechBlog

takes place in Amazon Web Services (AWS), whereas everything that happens afterwards (i.e., Content is placed on the network of servers in the Open Connect CDN as close to the end user as possible, improving the streaming experience for our customers and reducing costs for both Netflix and our Internet Service Provider (ISP) partners.

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Observations on the Importance of Cloud-based Analytics

All Things Distributed

AWS is enabling innovations in areas such as healthcare, automotive, life sciences, retail, media, energy, robotics that it is mind boggling and humbling. For example many of the Internet of Things innovations that we have seen come to life in the past years on AWS all have a significant analytics components to it.

Analytics 135
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What Adrian Did Next?—?Part 2?—?Sun Microsystems

Adrian Cockcroft

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. We had specializations in hardware, operating systems, databases, graphics, etc. He hasn’t changed.

Tuning 52
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Generative AI in the Enterprise

O'Reilly

Training models and developing complex applications on top of those models is becoming easier. Many of the new open source models are much smaller and not as resource intensive but still deliver good results (especially when trained for a specific application). report that the difficulty of training a model is a problem.