Tag: Hardware

Feed: Featured Blog Posts - Data Science Central. Author: lakshmi yarlagadda. Over the past decade, we have seen a shift towards virtualization, a stepping stone to complete cloud utilization. However, even by leveraging virtualization, you still need the appropriate building blocks for a private cloud environment. This involves going beyond simply virtualizingcompute and other central data center subsystems (i.e., network and storage), and requires you to enable flexible APIs in order to automate resource provisioning and orchestration. 1 Open source Some say that OpenStackis the largest open source project ever. It combines computing, networking, and storage subsystems in layers via APIs within ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Packt Publishing. In this article by Maxim Lapan,  the author of Deep Reinforcement Learning Hands-On,we are going to discuss about gradients in PyTorch. Gradients support in tensors is one of the major changes in PyTorch 0.4.0. In previous versions, graph tracking and gradients accumulation were done in a separate, very thin class Variable, which worked as a wrapper around the tensor and automatically performed saving of the history of computations in order to be able to backpropagate. Now gradients are a built-in tensor property, which makes the API much cleaner. Gradient ... Read More

Feed: Blog. Author: Stella11; Unlike their failed counterparts, solutions are successful solely because systems, users, and organizations have come to depend upon them. Solutions are not necessarily successful because they were well crafted, intelligently designed, or adhere to any other theoretical standards or best practices.In essence, performance becomes a problem when a solution’s success starts to overwhelm its bearing capacity. Some applications reach this point almost immediately, either because they were more successful than anticipated, or because their design and architecture were poor. Consequently, genuinely successful applications require attention because they are continually changing and adapting to meet business needs, ... Read More

Feed: Liquid Web. Author: Terry Trout; For the 3rd year, Cloud Spectator affirms Liquid Web’s Server-Side Performance Tops Amazon, Rackspace and DigitalOceanLANSING, Mich. – June 21, 2018 – A study by performance analyst firm Cloud Spectator finds that Liquid Web LLC, a managed hosting provider focused on SMBs – and the designers, developers and agencies who create for them – beats rivals Amazon, Rackspace and DigitalOcean when it comes to website and cloud application performance. Liquid Web’s virtual machines (VMs) exhibit faster processing and disk speeds, while performing more transactions and sustaining more requests per second. The results show that ... Read More

Feed: AWS Big Data Blog. You can increase your savings by taking advantage of the dynamic scaling feature set available in Amazon EMR. The ability to scale the number of nodes in your cluster up and down on the fly is among the major features that make Amazon EMR elastic. You can take advantage of scaling in EMR by resizing your cluster down when you have little or no workload. You can also scale your cluster up to add processing power when the job gets too slow. This allows you to spend just enough to cover the cost of your ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: mike-connor; At IBM, we’re proud of our decades of industry leadership in the database space—inventing SQL, pioneering relational databases like Db2 and Informix for high performance data analytics, and helping drive forward open-source technologies such as Apache, Eclipse, Java, Python and Hadoop, to name just a few.But the modern data landscape demands more than one type of database. That’s why IBM has rolled out JSON-document-based databases in Db2 and Cloudant, as well as partnered with select database providers to offer developer-focused database services through the IBM Compose platform. We’ve ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Bill Schmarzo. Gartner’s recently released “Magic Quadrant for Industrial IoT Platforms” outlines how organizations can leverage the Internet of Things (IoT) to drive their digital transformation initiatives. In particular, Gartner believes that “By 2020, on-premises Internet of Things (IoT) platforms coupled with edge computing will account for up to 60% of industrial IoT (IIoT) analytics, up from less than 10% today.”[1] More real-time sensor and device data coupled with more computational power are driving analytics “to the edge”, which will yield new business and operational monetization opportunities for organizations looking to ... Read More

Feed: Blog. Author: Peter V.; Unlike their failed counterparts, solutions are successful solely because systems, users, and organizations have come to depend upon them. Solutions are not necessarily successful because they were well crafted, intelligently designed, or adhere to any other theoretical standards or best practices.In essence, performance becomes a problem when a solution’s success starts to overwhelm its bearing capacity. Some applications reach this point almost immediately, either because they were more successful than anticipated, or because their design and architecture were poor. Consequently, genuinely successful applications require attention because they are continually changing and adapting to meet business ... Read More

Feed: Planet MySQL; Author: MySQL Performance Blog; Rick Golba | June 20, 2018 |  Posted In: Amazon RDS, AWS, Cloud and MySQL, Cloud and NoSQL, MariaDB, MongoDB, MySQL, PostgreSQL PREVIOUS POST Serverless is a new buzzword in the database industry. Even though it gets tossed around often, there is some confusion about what it really means and how it really works. Serverless architectures rely on third-party Backend as a Service (BaaS) services. They can also include custom code that is run in managed, ephemeral containers on a Functions as a Service (FaaS) platform. In comparison to traditional Platform as a Service (PaaS) server ... Read More

Feed: AWS Compute Blog. Author: Roshni Pary. Contributed by Amr Ragab, HPC Application Consultant, AWS Professional ServicesAWS currently supports many managed des­ktop delivery mechanisms. Amazon WorkSpaces and Amazon AppStream 2.0 both deliver managed Windows-based machine images with GPU-backed instances. However, many desktop services and applications are better served through a Linux backed instance. Given the variety of Linux distributions as well as desktop managers, it can be valuable to have a generic solution for provisioning a Linux desktop on Amazon EC2. A GPU-backed instance reduces the computational requirements from the client (local) machine, eliminating the need for a local discrete ... Read More