An easier way to buy and support VDIThere was a time, not so long ago, when moving from traditional PCs to a virtual desktop infrastructure solution was really challenging. You need tight compatibility between compute, storage, networking, hypervisor, connection broker, protocol, application or OS delivery, user personalization and endpoints – all to ensure the best end-user experience, the key to a successful VDI deployment. It isn’t uncommon for a traditional VDI implementation of 100 applications and 1,000 users to take 250 days or more and the final cost was often unpredictable. Then after all that, if something goes wrong and you call for support, vendor finger-pointing abounds or the project is outright cancelled.Dell, is making it easier to buy, implement and support VDI with Dell EMC VDI Complete Solutions, a unique, end-to-end client virtualization solution than with one number for purchase, and for the first time, one for support. These solutions are made up of a combination of these industry-leading components:Hyper-converged infrastructure (HCI) using Dell EMC VxRail or vSAN ReadyNodes (RN) on Dell EMC PowerEdge serversvSAN ReadyNodes are built for rapid deployment and building block scalabilityVxRail is built for turnkey deployment, cluster flexibility and streamlined management ExpandedFocused on higher performance use cases including persistent desktops, rich, virtualized graphic capabilities, power users or larger implementationsConfigured for approximately 800 task users, and based on a four-node clusterNVIDIA GRID M10 and M60 virtualized graphics (vGPU) are available on the Expanded options, ensuring high performance end user experiences VMware vSphere and Horizon softwareDell endpoints: Wyse thin clients or OptiPlex micro PCsFlexible consumption models with payment solutions by Dell Financial Services (DFS)**The solution is highly customizable with three levels to meet a variety of needs. While these configurations are offered as a standard, our Dell experts can help determine the exact requirements to achieve your business goals. The Dell EMC VDI Complete Solutions levels are:StarterFocused on small and medium businesses (SMB) or as proof-of-concept implementationsConfigured for approximately 125 task worker users At the endpoint, industry-leading Wyse thin clients are highly secure and easy to manage. Organizations can choose the Wyse 3030, 3040 or 5060 thin clients based on either Wyse ThinOS or Wyse ThinLinux firmware. The Wyse 5060 also comes with a Windows Embedded option. For those that require a full-fledged PC, the OptiPlex 3050 or 5050 micro PCs are available as an option with this solution. All are optimized to work with VMware’s Blast Extreme protocol, ensuring high performance virtualized desktops and apps in any network condition.Dell EMC VDI Complete Solutions can reduce implementation by 50 percent with the latest validated VDI hardware and software, all leveraging the power of Dell Technologies, with one call to make for purchase and support. It is truly an easier way to buy, implement and support VDI.While VDI Complete Solutions are great for organizations looking for an on-prem, flexible consumption VDI solution, we know there are other ways to consume VDI. For organizations looking for the speed and flexibility of an off-prem, cloud-based solution, Dell offers virtual desktops and applications through Horizon Cloud, hosted on cloud infrastructure managed by VMware.Learn more here.https://www.youtube.com/watch?v=dWPhTMOEXMg EssentialsFocused on general desktop and app virtualization for a wide range of task and knowledge workersConfigured for approximately 600 task worker users, and based on a three-node cluster
The weeks leading up to the publishing of our 2020 D&I Report have been incredibly difficult. Here in the U.S. and across the globe, we have grieved the murders of George Floyd, Rayshard Brooks, Breonna Taylor and others. We have reflected on the disproportionate impacts of COVID-19 on minorities and watched as people of all colors and creeds engage in justified civil unrest against longstanding racial injustice around the world. Here at Dell Technologies, Michael Dell asked us all to take the time to listen and think about our role in driving change.It is now time for our listening to turn to action.As we work to achieve racial equity, one quote from Dr. Martin Luther King resonates: “We cannot walk alone, and as we walk, we must make the pledge that we shall always march ahead.” These last several weeks have revealed hard truths — about ourselves and our communities. But while there are problems we must solve, I have never felt so inspired by the collective will to do better. We will never go back to the way things were.At Dell Technologies, we know we have work to do. Today, our senior leadership does not reflect the diversity of the people we serve. In this report, you’ll see data and initiatives that represent our workforce and efforts between Feb. 1, 2019 and Jan. 31, 2020. This report, and our 2030 goals, are important tools to keep us accountable. Of the 22 Progress Made Real goals, two in particular will propel us forward in the area of diversity and inclusion. By 2030:50 percent of our global workforce and 40 percent of our global people leaders will be those who identify as women.25 percent of our U.S. workforce and 15 percent of our U.S. people leaders will be Black/African American and Hispanic/Latino minorities.Achieving racial equity will also mean solving socioeconomic disparity. This requires our ongoing commitment to remove racial bias, increase representation, champion truly inclusive policies, and support the Black community inside and outside our four walls. Our first phase of action outlines our executive leadership’s accountability for these commitments — ensuring diverse hiring, retention, development and promotion, as well as the inclusion of diverse team members in succession planning. Data-driven plans are in place for each Dell Technologies leader to drive diversity on their team.And it is equally important we are tuned into the discussions happening externally and responding in ways that demonstrate our commitment to positive change. It’s why we made the decision to pause our Facebook activity while they work to address issues of hate speech brought to light by the #StopHateforProfit movement. We’re also taking steps to eliminate non-inclusive language from content across our global operations and engage with peers and communities to establish new industry-standard inclusive language. These are just some of the ways we’re continuously looking across the business to make sure our practices align with our commitment to inclusion.As we look ahead, our larger remote workforce means we can attract the best talent from every corner of the globe, as proximity to a specific location will no longer be a priority. We will continue to champion for inclusive policies that support women, members of the LGBTQ+ community, people with different abilities and other underrepresented groups. These conversations will be ongoing, as we continue to identify — with intention — the further actions we can take.And throughout our discussions, we will not let up on transparency, accountability or our end goal — to achieve racial equity and be the employer of choice for all.
Computer vision is becoming an important technology across many industries. In industrial and manufacturing applications, computer vision is being used to locate components on a conveyor belt, identify flaws, and assist a robot in removing defective parts. Security systems can provide automated surveillance, and retail video systems can track employees and customers throughout a store. Computer vision is also a core technology for autonomous vehicles. Today, advanced driver assistance systems (ADAS) will alert drivers if a person or other vehicle is behind the car or in a blind spot. When combined with artificial intelligence (AI), the capabilities of computer vision systems can be extended in innovative and disruptive ways. For example, a basic function of a computer vision system is object detection. A simple implementation of object detection is to scan an area of interest within the field of vision to see if the background changes. With AI, object detection can be implemented in more complex situations, such as with the background changing as a vehicle backs up.AI also makes object identification possible. For example, a security system that calls the police whenever the neighbor’s cat crosses the lawn is more of a problem than a solution. With AI, computers can identify objects and classify them into useful categories. With sufficient accelerated compute and scale-out storage resources, a system could discern different behaviors. In retail spaces, for example, computers can identify when a customer picks up an item, then puts it back on the shelf after deciding not to buy it, so the retailer can take action to recover the sale.Modelling vs ProgrammingOne of the most important aspects of AI for computer vision is that AI is modeled, not programmed. In a traditional computer system, a programmer explicitly outlines all of the factors used to identify an object or behavior. Objects can have a wide variance, and behaviors can be extremely complex. When a situation arises that wasn’t accounted for by the programmers, the system must throw an exception. Accounting for the exception requires additional programming, which in turn requires an update and potentially recertification, depending upon the application.With AI models, systems can dynamically adapt and learn. AI models are flexible in that they can still identify objects and behaviors that were not taken into account when the model was made. If the model handles the object properly, no changes are needed. If a different response is required, the AI model can be reconfigured based on the new data. The new data can be added to the data set that originally generated the model to update the model without the need for extensive manual reprogramming.This adaptive nature of AI also drives innovation forward at an accelerated pace. Traditionally, computer vision systems can only implement insights that a person working with limited data can arrive at. With AI, every interaction from every deployed system can become part of the working data set. Consider a defect detection system that has a higher than average false identification rate. Traditionally, developers will only have access to this data if the customer reports the problem and allows access to their operational data. Developers then have to analyze the data manually to try and uncover the issue.With AI, a control system can automatically identify the higher false identification rate. Analysis of working data can be performed in parallel with regular operation. When the issue is uncovered, the control system can provide the data required to update the AI model. This update can then be propagated out across deployed devices. All of this can occur with minimal human interaction.AI at the EdgeTo achieve the real-time responsiveness that many systems require, computer vision AI must take place close to the edge. Video processing involves large data sets, so there must be appropriate processing and storage resources out close to the edge to avoid the latency associated with trying to upload streaming video to the cloud. To simplify processing, storage is also ideally transparent, meaning the system does not have to necessarily need know where the data is actually stored to make optimal use of it. Furthermore, storage needs to work seamlessly with accelerated compute resources while being able to scale-out locally to meet increasing capacity demands.With all these requirements, the journey of bringing AI to the edge can seem overwhelming. However, it is clear that AI is the future of computer vision and that it is forward-thinking OEMs who will be the ones to claim the greatest market share of the new possibilities enabled by this technology.By partnering with Dell Technologies, OEMs can take advantage of our world-leading expertise through specialized services like developing an Artificial Intelligence strategy and our expansive portfolio of AI solutions like the Dell EMC Ready Solutions for AI and Reference Architectures for AI. Our flexible solutions combining NVIDIA GPU accelerated compute with Dell EMC Isilon’s high performance, high bandwidth scale-out storage solutions simplify data management for training even the most complex computer vision deep learning models.Dell Technologies is at the forefront of AI innovation to help you make tomorrow possible. Learn more about how computer vision AI is changing the world at my on demand session on Platform considerations from Proof-of-Concepts to Large Scale AI Deployments.
LOS ANGELES (AP) — California is changing up the way it is delivering coronavirus vaccines and moving to a more centralized system that should streamline appointment sign-up, notification and eligibility for nearly 40 million residents. But few detais were released Tuesday, and counties, which have been leading the vaccine effort, say they need more information. A private third-party administrator will work with a new statewide secretary to decide where the state’s supply of vaccine should go. California has been criticized for vaccinating so few people even amid a national vaccine shortage that appears to be the main bottleneck. At the same time, residents are frustrated by eligibility rules that vary by county and by hospital system.
WASHINGTON (AP) — U.S. President Joe Biden and Russian leader Vladimir Putin have held their first conversation as counterparts in a phone call that underscored troubled relations and the delicate balance between the former Cold War foes. According to the White House, Biden raised concerns Tuesday about the arrest of opposition figure Alexei Navalny, Russia’s alleged involvement in a massive cyber espionage campaign and reports of Russian bounties on American troops in Afghanistan. The Kremlin, meanwhile, focused on Putin’s response to Biden’s proposal to extend the last remaining U.S.-Russia arms control treaty.