IT Leaders Want More than Just Product Specs

first_imgThe Gartner Data Center Conference opened this morning and over the next three days, I’ll get to know a number of EMC customers better, learning about where their IT operations are heading over the next few years.Gartner conferences attract some of the industry’s most forward-thinking CIOs and data center managers. While their IT organizations are at different stages, they all have one thing in common: a desire to transform IT efficiency and effectiveness.These managers are facing some familiar challenges: exploding data growth, mounting pressure to cut operational costs, and increasingly complex regulatory requirements and security threats.  Other challenges have cropped up recently, like the emergence of mobile computing and the need to access data anywhere at any time.I’m sure there are people here to learn how they can address many of these challenges simultaneously.  Personally, I can’t wait to get down to details of EMC’s “three pillars” approach with storage solutions at the infrastructure layer, VMware’s hypervisor and software-defined data center tech at the virtualization layer, and Pivotal for big and fast data applications on top.But I know IT leaders will be looking for more than just product specs. They also want to know:how to tailor this tech to their own unique use cases,how to automate processes that have cost thousands of man-hours already,how to position IT as a service broker for their business instead of a roadblock.This is where things get more complex – and even more interesting. What I’m hearing from customers is that the rapidly changing face of IT has created a pronounced skills gap within IT organizations. While an event like this is ideal for helping close those gaps, what if you want more? And what about educating an entire IT staff?Education and technical expertise are essential to deploying today’s tech effectively and making IT transformation a reality. That’s why EMC offers a host of cloud and data science education programs running independently from strategic events like Gartner Data Center.If you are at the show, join me in discussing these topics in greater detail during my session, “The Role of IT in Creating an Agile, Predictive Enterprise” on Tuesday, December 10th at 1:45-2:30pm PT in Veronese 2404.Better yet, stop by the EMC booth.While I would love to share our story with you in person, I’m actually a lot more interested in hearing yours.last_img read more

More Power and Innovation with the Next Generation of Dell OptiPlex

first_imgThe next generation of the Dell OptiPlex family features new form factors and accessories driven by the latest Intel® 9th generation processors, delivering more power than ever before.The world of business and technology is merging in a fourth industrial revolution enabled by a perfect storm of technology tipping points. In order to capitalize on this revolution, technology solutions and services need to provide innovative capabilities from the edge, to core, to cloud.For more than 25 years, Dell OptiPlex has continuously adapted to the ways our customers work. In keeping with this commitment, we are proud to introduce the next generation of Dell OptiPlex solutions which deliver a smarter, faster desktop experience.Power your success now, and in the future, with the new line up of OptiPlex towers, small form factors micros and all-in-ones which all feature Intel’s new 9th generation processors. With the latest Intel® processors, OptiPlex users avoid system lag and can experience twice the system responsiveness with Intel® Optane™ technology. The new lineup includes the 3070, 5070 and 7070 tower, small factor and micro’s that are purposefully designed to deliver the ultimate productivity in innovative and compact designs. Because we know size and options do matter, we have upgraded our OptiPlex all-in-ones, in multiple screen sizes, so users can get unmatched power with industry-leading performance and collaboration technology on the OptiPlex 5270, 7470 and 7770.No matter the industry or the role within an organization, less clutter means fewer problems for a user. That is why we delivered a smarter design with our family of OptiPlex solutions. Our all-in-ones feature brilliant full HD displays and custom stands without taking up more workspace. Powerful and compact, the micro now come with the most mounting options, making sure the PC gets out of the way so you can get work done. In addition to the purpose-built mounts, we provide clever stands and cable covers which provide a secure and clutter free workspace.Built with Dell’s focus on sustainability, the OptiPlex all-in-one and tower chassis contain at least 39% post-consumer recycled plastics.An added benefit found in this next generation of the Dell OptiPlex is the integration of Dell Technologies Unified Workspace. Dell Technologies Unified Workspace is the most comprehensive solution to deploy, secure, manage and support virtually all devices from the cloud. This revolutionary solution provides customers with visibility across the entire endpoint environment helping save time, improving user experience, optimizing resources and strengthening security.The workforce is evolving at an alarmingly rapid pace and we as technology providers must deliver solutions which allow customers to keep up. Built for business, these powerful solutions do just that. Dell OptiPlex is proud to provide game changing technology that allows our customers to be more collaborative, productive and secure.Check out the next generation of the Dell OptiPlex portfolio here.last_img read more

New AI Tookit Powers Large-Scale Deep Learning for Medical Imaging

first_imgThis post is co-authored by Rakshith Vasudev, Software Engineer, Dell EMC HPC & AI Innovation Lab.The new NVIDIA Clara AI Toolkit enables developers to build and deploy medical imaging applications to create intelligent instruments and automated healthcare workflows.In today’s hospitals, medical imaging technicians are racing to keep pace with workloads stemming from the growing use of CT scans, MRI scans and other imaging used in the diagnostic processes. In a large hospital system, a relatively small number of technicians might be hit with hundreds or even thousands of scans in a single day. To keep up with the volume, these overworked technicians need tools to assist with the process of analyzing complex images, identifying hard-to-detect abnormalities and ferreting out indicators of disease.Increasingly, medical institutions are looking to artificial intelligence to address these needs. With deep-learning technologies, AI systems can now be trained to serve as digital assistants that take on some of the heavy lifting that comes with medical imaging workflows. This isn’t about using AI to replace trained professionals. It’s about using AI to streamline workflows, increase efficiency and help processionals identify the cases that require their immediate attention. Hospital IT needs to strategize to make their infrastructure AI-ready. NVIDIA and American College of Radiology have partnered to enable thousands of radiologists to create and use AI in their own facilities, with their own data, across a vast network of thousands of  hospitals.One of these AI-driven toolsets is NVIDIA Clara AI, an open, scalable computing platform that enables development of medical imaging applications for hybrid (embedded, on-premises or cloud) computing environments. With the capabilities of NVIDIA Clara AI, hospitals can create intelligent instruments and automated healthcare workflows.The Clara AI ToolkitTo help organizations put Clara AI to work, NVIDIA offers the Clara Deploy SDK. This Helm-packaged software development kit encompasses a collection of NVIDIA GPU Cloud (NGC) containers that work together to provide an end-to-end medical image processing workflow in Kubernetes. NGC container images are optimized for NGC Ready GPU accelerated systems, such as Dell EMC PowerEdge C4140 and PowerEdge R740xd servers.The Clara AI containers include GPU-accelerated libraries for computing, graphics and AI; example applications for image processing and rendering; and computational workflows for CT, MRI and ultrasound data. These features leverage Docker and Kubernetes to orchestrate medical image workflows and connect to PACS (picture archiving and communication systems) or scale medical instrument applications.Fig 1. Clara AI Toolkit architecture The Clara AI Toolkit lowers the barriers to adopting AI in medical-imaging workflows. The Clara AI Deploy SDK includes:DICOM adapter data ingestion interface to communicate with a hospital PACs systemCore services for orchestrating and managing resources for workflow deployment and developmentReference AI applications that can be used as-is with user defined data or can be modified with user-defined-AI algorithmsVisualization capabilities to monitor progress and view resultsServer Platforms for the ToolkitFor organizations looking to capitalize on NVIDIA Clara AI, Dell EMC provides two robust, GPU-accelerated server platforms that support the Clara AI Toolkit.The PowerEdge R740xd server delivers a balance of storage scalability and performance. With support for NVMe drives and NVIDIA GPUs, this 2U two-socket platform is ready for the demands of Clara AI and medical imaging workloads. The PowerEdge C4140 server, in turn, is an accelerator-optimized, 1U rack server designed for most demanding workloads. With support for four GPUs, this ultra-dense two-socket server is built for the challenges of cognitive workloads, including AI, machine learning and deep learning.In the HPC and AI Innovation Lab at Dell EMC, we used Clara AI Toolkit with CT Organ Segmentation and CT Liver Segmentation on our GPU-accelerated servers running Red Hat Enterprise Linux. For these tests, we collected abdominal CT scan data, a series of 2D medical images, from the NIH Cancer Image Archive. We used the tools in the Clara AI Toolkit to execute a workflow that first converts the DICOM series for ingestion and identifies individual organs from the CT scan (organ segmentation).Next, the workflow can use those segmented organs as input to identify any abnormalities. Once the analysis is complete, the system creates a MetaIO annotated 3D volume render that can be viewed in the Clara Render Server, and DICOM files that can be compared side by side with medical image viewers such as ORTHANC or Oviyam2.Fig 2: Oviyam2 Viewer demonstrating side by side view of Clara AI Processed vs Original CT ScanClara AI on the JobWhile Clara AI is a relatively new offering, the platform is already in use in some major medical institutions, including Ohio State University, the National Institutes of Health and the University of California, San Francisco, according to NVIDIA.The National Institutes of Health Clinical Center and NVIDIA scientists used Clara AI to develop a domain generalization method for the segmentation of the prostate from surrounding tissue on MRI. An NVIDIA blog notes that the localized model “achieved performance similar to that of a radiologist and outperformed other state-of-the-art algorithms that were trained and evaluated on data from the same domain.”As these early adopters are showing, NVIDIA Clara AI is a platform that can provide value to organizations looking to capitalize on AI to enable large-scale deep learning for medical imaging.Fig 3: Ailments on segmented liver identified by Clara AI ToolkitTo learn moreExplore these resources for a closer look at the capabilities of NVIDIA Clara:Clara AI Toolkit Download pageTechnical Developer BlogDeveloper NewsNVIDIA Clara Platform___________________________________________________________________________________________________________________________________________________________About the co-authorRakshith Vasudev is an AI software engineer in the HPC & AI Innovation Lab at Dell EMC, where he focuses on scalable and high performance deep learning workloads using Nvidia GPUs.His work revolves around building deep learning models, optimizing throughput, running benchmarks, using containerized orchestration with Kubernetes. Rakshith has a master’s degree in software engineering.last_img read more

US ‘directly’ presses Eritrea to withdraw forces from Tigray

first_imgNAIROBI, Kenya (AP) — The United States says it has directly “pressed senior levels” of Eritrea’s government to immediately withdraw its troops from neighboring Ethiopia, where witnesses have described them looting and hunting down civilians in the embattled Tigray region. A State Department spokesperson in an email to The Associated Press says Washington has conveyed “grave” concerns about credible reports of abuses. There are no details on how officials with Eritrea, one of the world’s most secretive countries, responded. Ethiopia has repeatedly denied the presence of Eritrean soldiers, who some witnesses have estimated in the thousands. Now concerns are growing that the Eritrean forces refuse to leave.last_img read more