7 considerations when buying network-automation tools

ZEUS KERRAVALA | January 13, 2020 | 134 views

The concept of network automation has been around for as long as there have been networks, and until now the uptake has been slow for a number of reasons including resistance from network engineers.  But now forces are coming together to create a perfect storm of sorts, driving a need for network automation tools. One factor is that more and more network teams are starting to feel the pain of working in the fast-paced digital world where doing things the old way simply does not work.  The manual, box-by-box, method of configuring and updating routers and switches through a command-line interface (CLI) is too slow and error prone.

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Allied Testing is a leading QA and testing firm, which specializes in the trading and financial industry. Our deep domain expertise, global footprint and the superb technical capabilities of our staff have enabled Allied Testing to become a quality assurance partner of choice to such companies as Thomson Reuters, London Stock Exchange, Barclays Capital, TD Ameritrade, Renaissance Capital, HSBC or JP Morgan amongst others.

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Infrastructure Lifecycle Management Best Practices

Article | June 10, 2022

As your organization scales, inevitably, so too will its infrastructure needs. From physical spaces to personnel, devices to applications, physical security to cybersecurity – all these resources will continue to grow to meet the changing needs of your business operations. To manage your changing infrastructure throughout its entire lifecycle, your organization needs to implement a robust infrastructure lifecycle management program that’s designed to meet your particular business needs. In particular, IT asset lifecycle management (ITALM) is becoming increasingly important for organizations across industries. As threats to organizations’ cybersecurity become more sophisticated and successful cyberattacks become more common, your business needs (now, more than ever) to implement an infrastructure lifecycle management strategy that emphasizes the security of your IT infrastructure. In this article, we’ll explain why infrastructure management is important. Then we’ll outline steps your organization can take to design and implement a program and provide you with some of the most important infrastructure lifecycle management best practices for your business. What Is the Purpose of Infrastructure Lifecycle Management? No matter the size or industry of your organization, infrastructure lifecycle management is a critical process. The purpose of an infrastructure lifecycle management program is to protect your business and its infrastructure assets against risk. Today, protecting your organization and its customer data from malicious actors means taking a more active approach to cybersecurity. Simply put, recovering from a cyber attack is more difficult and expensive than protecting yourself from one. If 2020 and 2021 have taught us anything about cybersecurity, it’s that cybercrime is on the rise and it’s not slowing down anytime soon. As risks to cybersecurity continue to grow in number and in harm, infrastructure lifecycle management and IT asset management are becoming almost unavoidable. In addition to protecting your organization from potential cyberattacks, infrastructure lifecycle management makes for a more efficient enterprise, delivers a better end user experience for consumers, and identifies where your organization needs to expand its infrastructure. Some of the other benefits that come along with comprehensive infrastructure lifecycle management program include: More accurate planning; Centralized and cost-effective procurement; Streamlined provisioning of technology to users; More efficient maintenance; Secure and timely disposal. A robust infrastructure lifecycle management program helps your organization to keep track of all the assets running on (or attached to) your corporate networks. That allows you to catalog, identify and track these assets wherever they are, physically and digitally. While this might seem simple enough, infrastructure lifecycle management and particularly ITALM has become more complex as the diversity of IT assets has increased. Today organizations and their IT teams are responsible for managing hardware, software, cloud infrastructure, SaaS, and connected device or IoT assets. As the number of IT assets under management has soared for most organizations in the past decade, a comprehensive and holistic approach to infrastructure lifecycle management has never been more important. Generally speaking, there are four major stages of asset lifecycle management. Your organization’s infrastructure lifecycle management program should include specific policies and processes for each of the following steps: Planning. This is arguably the most important step for businesses and should be conducted prior to purchasing any assets. During this stage, you’ll need to identify what asset types are required and in what number; compile and verify the requirements for each asset; and evaluate those assets to make sure they meet your service needs. Acquisition and procurement. Use this stage to identify areas for purchase consolidation with the most cost-effective vendors, negotiate warranties and bulk purchases of SaaS and cloud infrastructure assets. This is where lack of insights into actual asset usage can potentially result in overpaying for assets that aren’t really necessary. For this reason, timely and accurate asset data is crucial for effective acquisition and procurement. Maintenance, upgrades and repair. All assets eventually require maintenance, upgrades and repairs. A holistic approach to infrastructure lifecycle management means tracking these needs and consolidating them into a single platform across all asset types. Disposal. An outdated or broken asset needs to be disposed of properly, especially if it contains sensitive information. For hardware, assets that are older than a few years are often obsolete, and assets that fall out of warranty are typically no longer worth maintaining. Disposal of cloud infrastructure assets is also critical because data stored in the cloud can stay there forever. Now that we’ve outlined the purpose and basic stages of infrastructure lifecycle management, it’s time to look at the steps your organization can take to implement it.

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The Drive with Direction: The Path of Enterprise IT Infrastructure

Article | June 2, 2021

Introduction It is hard to manage a modern firm without a convenient and adaptable IT infrastructure. When properly set up and networked, technology can improve back-office processes, increase efficiency, and simplify communication. IT infrastructure can be utilized to supply services or resources both within and outside of a company, as well as to its customers. IT infrastructure when adequately deployed aids organizations in achieving their objectives and increasing profits. IT infrastructure is made up of numerous components that must be integrated for your company's infrastructure to be coherent and functional. These components work in unison to guarantee that your systems and business as a whole run smoothly. Enterprise IT Infrastructure Trends Consumption-based pricing models are becoming more popular among enterprise purchasers, a trend that began with software and has now spread to hardware. This transition from capital to operational spending lowers risk, frees up capital, and improves flexibility. As a result, infrastructure as a service (IaaS) and platform as a service (PaaS) revenues increased by 53% from 2015 to 2016, making them the fastest-growing cloud and infrastructure services segments. The transition to as-a-service models is significant given that a unit of computing or storage in the cloud can be quite cheaper in terms of the total cost of ownership than a unit on-premises. While businesses have been migrating their workloads to the public cloud for years, there has been a new shift among large corporations. Many companies, including Capital One, GE, Netflix, Time Inc., and others, have downsized or removed their private data centers in favor of shifting their operations to the cloud. Cybersecurity remains a high priority for the C-suite and the board of directors. Attacks are increasing in number and complexity across all industries, with 80% of technology executives indicating that their companies are unable to construct a robust response. Due to lack of cybersecurity experts, many companies can’t get the skills they need on the inside, so they have to use managed security services. Future of Enterprise IT Infrastructure Companies can adopt the 'As-a-Service' model to lower entry barriers and begin testing future innovations on the cloud's basis. Domain specialists in areas like healthcare and manufacturing may harness AI's potential to solve some of their businesses' most pressing problems. Whether in a single cloud or across several clouds, businesses want an architecture that can expand to support the rapid evolution of their apps and industry for decades. For enterprise-class visibility and control across all clouds, the architecture must provide a common control plane that supports native cloud Application Programming Interfaces (APIs) as well as enhanced networking and security features. Conclusion The scale of disruption in the IT infrastructure sector is unparalleled, presenting enormous opportunities and hazards for industry stakeholders and their customers. Technology infrastructure executives must restructure their portfolios and rethink their go-to-market strategies to drive growth. They should also invest in the foundational competencies required for long-term success, such as digitization, analytics, and agile development. Data center companies that can solve the industry's challenges, as well as service providers that can scale quickly without limits and provide intelligent outcome-based models. This helps their clients achieve their business objectives through a portfolio of 'As-a-Service' models, will have a bright future.

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A Look at Trends in IT infrastructure and Operations for 2022

Article | June 1, 2021

We’re all hoping that 2022 will finally end the unprecedented challenges brought by the global pandemic and things will return to a new normalcy. For IT infrastructure and operations organizations, the rising trends that we are seeing today will likely continue, but there are still a few areas that will need special attention from IT leaders over the next 12 to 18 months. In no particular order, they include: The New Edge Edge computing is now at the forefront. Two primary factors that make it business-critical are the increased prevalence of remote and hybrid workplace models where employees will continue working remotely, either from home or a branch office, resulting in an increased adoption of cloud-based businesses and communications services. With the rising focus on remote and hybrid workplace cultures, Zoom, Microsoft Teams, and Google Meet have continued to expand their solutions and add new features. As people start moving back to office, they are likely to want the same experience they had from home. In a typical enterprise setup, branch office traffic is usually backhauled all the way to the data center. This architecture severely impacts the user experience, so enterprises will have to review their network architectures and come up with a roadmap to accommodate local egress between branch offices and headquarters. That’s where the edge can help, bringing it closer to the workforce. This also brings an opportunity to optimize costs by migrating from some of the expensive multi-protocol label switching (MPLS) or private circuits to relatively low-cost direct internet circuits, which is being addressed by the new secure access service edge (SASE) architecture that is being offered by many established vendors. I anticipate some components of SASE, specifically those related to software-defined wide area network (SD-WAN), local egress, and virtual private network (VPN), will drive a lot of conversation this year. Holistic Cloud Strategy Cloud adoption will continue to grow, and along with software as a service (SaaS), there will be renewed interest in infrastructure as a service (IaaS), albeit for specific workloads. For a medium-to-large-sized enterprise with a substantial development environment, it will still be cost-prohibitive to move everything to the cloud, so any cloud strategy would need to be holistic and forward-looking to maximize its business value. Another pandemic-induced shift is from using virtual machines (VMs) as a consumption unit of compute to containers as a consumption unit of software. For on-premises or private cloud deployment architectures that require sustainable management, organizations will have to orchestrate containers and deploy efficient container security and management tools. Automation Now that cloud adoption, migration, and edge computing architectures are becoming more prevalent, the legacy methods of infrastructure provisioning and management will not be scalable. By increasing infrastructure automation, enterprises can optimize costs and be more flexible and efficient—but only if they are successful at developing new skills. To achieve the goal of “infrastructure as a code” will require a shift in the perspective on infrastructure automation to one that focuses on developing and sustaining skills and roles that improve efficiency and agility across on-premises, cloud, and edge infrastructures. Defining the roles of designers and architects to support automation is essential to ensure that automation works as expected, avoids significant errors, and complements other technologies. AIOps (Artificial Intelligence for IT Operations) Alongside complementing automation trends, the implementation of AIOps to effectively automate IT operations processes such as event correlation, anomaly detection, and causality determination will also be important. AIOps will eliminate the data silos in IT by bringing all types of data under one roof so it can be used to execute machine learning (ML)-based methods to develop insights for responsive enhancements and corrections. AIOps can also help with probable cause analytics by focusing on the most likely source of a problem. The concept of site reliability engineering (SRE) is being increasingly adopted by SaaS providers and will gain importance in enterprise IT environments due to the trends listed above. AIOps is a key component that will enable site reliability engineers (SREs) to respond more quickly—and even proactively—by resolving issues without manual intervention. These focus areas are by no means an exhaustive list. There are a variety of trends that will be more prevalent in specific industry areas, but a common theme in the post-pandemic era is going to be superior delivery of IT services. That’s also at the heart of the Autonomous Digital Enterprise, a forward-focused business framework designed to help companies make technology investments for the future.

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A new era of automation with Cisco ACI and the Citrix ADC Manager app

Article | February 12, 2020

Since it was first available, Citrix has worked with Cisco Application Centric Infrastructure (ACI) to integrate Citrix ADC with the Cisco Application Policy Infrastructure Controller (APIC). As a valued technology partner, Citrix has a device package — a software module — that enables users to configure the Citrix ADC directly from a Cisco APIC. This setup has run in many customer production environments over the years. Let’s consider one of those customers — Jim. He was the first to deploy the integrated solution in his data center. The solution gave him the automation he needed and a single view to configure, deploy, and manage applications. However, his application admins preferred to use the Citrix ADC user interface to manage L4-L7 services.

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Spotlight

Allied Testing

Allied Testing is a leading QA and testing firm, which specializes in the trading and financial industry. Our deep domain expertise, global footprint and the superb technical capabilities of our staff have enabled Allied Testing to become a quality assurance partner of choice to such companies as Thomson Reuters, London Stock Exchange, Barclays Capital, TD Ameritrade, Renaissance Capital, HSBC or JP Morgan amongst others.

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Inspur Announces MLPerf v2.0 Results for AI Servers

Inspur | July 04, 2022

The open engineering consortium MLCommons released the latest MLPerf Training v2.0 results, with Inspur AI servers leading in closed division single-node performance. MLPerf is the world’s most influential benchmark for AI performance. It is managed by MLCommons, with members from more than 50 global leading AI companies and top academic institutions, including Inspur Information, Google, Facebook, NVIDIA, Intel, Harvard University, Stanford University, and the University of California, Berkeley. MLPerf AI Training benchmarks are held twice a year to track improvements in computing performance and provide authoritative data guidance for users. The latest MLPerf Training v2.0 attracted 21 global manufacturers and research institutions, including Inspur Information, Google, NVIDIA, Baidu, Intel-Habana, and Graphcore. There were 264 submissions, a 50% increase over the previous round. The eight AI benchmarks cover current mainstream usage AI scenarios, including image classification with ResNet, medical image segmentation with 3D U-Net, light-weight object detection with RetinaNet, heavy-weight object detection with Mask R-CNN, speech recognition with RNN-T, natural language processing with BERT, recommendation with DLRM, and reinforcement learning with MiniGo. Among the closed division benchmarks for single-node systems, Inspur Information with its high-end AI servers was the top performer in natural language processing with BERT, recommendation with DLRM, and speech recognition with RNN-T. It won the most titles among single-node system submitters. For mainstream high-end AI servers equipped with eight NVIDIA A100 Tensor Core GPUs, Inspur Information AI servers were top ranked in five tasks (BERT, DLRM, RNN-T, ResNet and Mask R-CNN). Continuing to lead in AI computing performance Inspur AI servers continue to achieve AI performance breakthroughs through comprehensive software and hardware optimization. Compared to the MLPerf v0.5 results in 2018, Inspur AI servers showed significant performance improvements of up to 789% for typical 8-GPU server models. The leading performance of Inspur AI servers in MLPerf is a result of its outstanding design innovation and full-stack optimization capabilities for AI. Focusing on the bottleneck of intensive I/O transmission in AI training, the PCIe retimer-free design of Inspur AI servers allows for high-speed interconnection between CPUs and GPUs for reduced communication delays. For high-load, multi-GPU collaborative task scheduling, data transmission between NUMA nodes and GPUs is optimized to ensure that data I/O in training tasks is at the highest performance state. In terms of heat dissipation, Inspur Information takes the lead in deploying eight 500W high-end NVIDIA Tensor Core A100 GPUs in a 4U space, and supports air cooling and liquid cooling. Meanwhile, Inspur AI servers continue to optimize pre-training data processing performance, and adopt combined optimization strategies such as hyperparameter and NCCL parameter, as well as the many enhancements provided by the NVIDIA AI software stack, to maximize AI model training performance. Greatly improving Transformer training performance Pre-trained massive models based on the Transformer neural network architecture have led to the development of a new generation of AI algorithms. The BERT model in the MLPerf benchmarks is based on the Transformer architecture. Transformer’s concise and stackable architecture makes the training of massive models with huge parameters possible. This has led to a huge improvement in large model algorithms, but necessitates higher requirements for processing performance, communication interconnection, I/O performance, parallel extensions, topology and heat dissipation for AI systems. In the BERT benchmark, Inspur AI servers further improved BERT training performance by using methods including optimizing data preprocessing, improving dense parameter communication between NVIDIA GPUs and automatic optimization of hyperparameters, etc. Inspur Information AI servers can complete BERT model training of approximately 330 million parameters in just 15.869 minutes using 2,850,176 pieces of data from the Wikipedia data set, a performance improvement of 309% compared to the top performance of 49.01 minutes in Training v0.7. To this point, Inspur AI servers have won the MLPerf Training BERT benchmark for the third consecutive time. Inspur Information’s two AI servers with top scores in MLPerf Training v2.0 are NF5488A5 and NF5688M6. The NF5488A5 is one of the first servers in the world to support eight NVIDIA A100 Tensor Core GPUs with NVIDIA NVLink technology and two AMD Milan CPUs in a 4U space. It supports both liquid cooling and air cooling. It has won a total of 40 MLPerf titles. NF5688M6 is a scalable AI server designed for large-scale data center optimization. It supports eight NVIDIA A100 Tensor Core GPUs and two Intel Ice Lake CPUs, up to 13 PCIe Gen4 IO, and has won a total of 25 MLPerf titles. About Inspur Information Inspur Information is a leading provider of data center infrastructure, cloud computing, and AI solutions. It is the world’s 2nd largest server manufacturer. Through engineering and innovation, Inspur Information delivers cutting-edge computing hardware design and extensive product offerings to address important technology sectors such as open computing, cloud data center, AI, and deep learning. Performance-optimized and purpose-built, our world-class solutions empower customers to tackle specific workloads and real-world challenges.

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Metallic Data Management as a Service on Oracle Cloud Infrastructure Will Accelerate Enterprise Hybrid Cloud Adoption

Commvault | July 01, 2022

Metallic DMaaS on Oracle Cloud is now a part of Commvault's strategic relationship with Oracle, a leader in intelligent data services across on-premises, cloud, and SaaS settings. Metallic's market-leading services will be made available on Oracle Cloud Infrastructure (OCI) and will be accessible in all commercial OCI regions worldwide as part of Commvault's multi-cloud strategy. For business customers wishing to hasten their OCI transition, Metallic and OCI will offer improved price-performance, built-in enhanced security, and streamlined recovery and management. In addition, Oracle users may now safeguard crucial data assets in the cloud or on-premises by utilizing OCI Storage for superior air-gapped ransomware protection while preserving flexibility across customer-controlled storage or a SaaS-delivered data protection service inclusive of managed cloud storage. Metallic DMaaS supports the protection of data against corruption, unauthorized access, and other threats across critical business sectors, such as insurance, financial services, manufacturing, and defense, in the fight against ransomware and cyberattacks. Customers can quickly backup their digital footprint in any consumption model, including cloud-native and on-premises workloads, including databases, virtual machines, Kubernetes, file and object storage, and workloads running on databases and virtual machines. "The combination of Metallic DMaaS and OCI is a big win for customers looking for data mobility, agility, and security as they link on-premises Oracle solutions to OCI and evolve their data management capabilities." Vinny Choinski, senior analyst, Enterprise Strategy Group Metallic's data protection now covers OCI VMs, Oracle Databases, and Oracle Container Engine, thanks to the addition of support for safeguarding OCI workloads and writing to OCI Storage. Additionally, Oracle Linux is accessible to over 400,000 Oracle enterprise customers and the more than 100,000 clients wishing to use Oracle Cloud Infrastructure to protect their mission-critical data but who have previously relied on Commvault technology. As a part of the Oracle PartnerNetwork, Commvault will promote and sell Metallic DMaaS alongside Oracle in a partnership that will hasten Metallic's attempts to become worldwide. Available in the Oracle Cloud Marketplace is Metallic DMaaS. "We're excited to partner with Commvault and enable our customers to restore and recover their most mission-critical cloud data. Data protection and compliance requirements are necessities in today's business environment, which is why we're confident that OCI's built-in, always-on security features combined with Metallic DMaaS will provide additional peace of mind for our joint customers," said Clay Magouyrk, executive vice president, Oracle Cloud Infrastructure.

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APPLICATION INFRASTRUCTURE

Runecast partners with SVA Software, Inc.

Runecast | June 29, 2022

Runecast, a leading provider of patented, predictive analytics for on-premises, hybrid and multi cloud environments, today announced a strategic partnership with SVA Software, Inc., a leading IT infrastructure services provider. The existing relationship between parent-company SVA GmbH, of Germany, and Runecast is now expanded to include SVA Software, Inc. and further the reach of both companies across North America. The SVA Software portfolio includes mainframe optimization solutions, VMware license assessments, infrastructure analytics, data archival and a disaster recovery runbook. SVA models its business on its software and service solutions scaling to meet the needs of its customers' stages of growth and to assist customers in making sense of the data that their systems produce. Customers therefore gain in-depth insights across their systems, enabling them more control in negotiating the next ELA with a vendor. "The strength of our partnership with SVA GmbH in Germany made it an easy choice to extend that partnership also to SVA Software, Inc. in North America. "Having a channel-first approach to market means that we rely on finding the best local partners to enable Runecast growth." Ched Smokovic, Chief Revenue Officer at Runecast Runecast has evolved to be the go-to solution for stabilizing and securing mission-critical IT operations ranging from online shopping and banking to emergency call services and air-traffic control. Runecast is an enterprise platform which brings a proactive approach to various areas of hybrid and multi cloud management and protection. Runecast provides automated best practices, actionable insights and proactive monitoring for VMware, Amazon Web Services (AWS), Microsoft Azure and Kubernetes, as well as OS-level support for Windows and Linux. Coverage for Google Cloud Platform (GCP) is planned for its July release. Recently, G2 reviews ranked Runecast a 'High Performer' in the Spring and Summer 2022 G2 Grid® Reports for the categories Security Risk Analysis, Cloud Workload Protection Platforms (CWPP), Vulnerability Scanner, Cloud Compliance and Cloud Security. "We are happy to add Runecast's unique solution and strength in the VMware space to our portfolio," said Lisa Schwab, VP of Sales and Marketing. "The partnership confirms the commitment in extending an award-winning platform like Runecast to the North American market. Runecast is a perfect complement to SVA's BVQ data analytics platform providing customers with a robust set of solutions to maximize and optimize their IT infrastructures." The Runecast vision for the future is to stay ahead of the challenges that organizations face in a fast-paced and rapidly changing IT environment, to provide the best possible proactive means of mitigating vulnerabilities and maintaining security compliance and uptime – which aligns well with the SVA approach to business. About Runecast Runecast Solutions Ltd. is a leading global provider of a patented solution for IT Security and Operations teams. Forward-focused enterprises like Avast, DocuSign, and Merck rely on Runecast for proactive risk mitigation, security compliance, operational efficiency, and mission-critical stability. Headquartered in London, U.K., Runecast is a Gartner Cool Vendor and has won Computing awards for Cloud Security Product of the Year and Best Place to Work in Digital. About SVA Software, Inc. SVA Software, Inc. is a 100% subsidiary of SVA System Vertrieb Alexander GmbH, a German company. SVA Software, Inc. was founded in 2016 selling SVA GmbH developed solutions combined with value added services. SVA System Vertrieb Alexander GmbH is the largest privately owned system integrator in Germany in the fields of Datacenter Infrastructure and is the largest global IBM Systems Integrator. The company was founded in 1997 in Wiesbaden, Germany. SVA GmbH now employs more than 2,200 employees at 25 branch offices throughout Germany with a revenue of more than $1.3 Billion (2021) servicing over 3,000 customers worldwide.

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Inspur Announces MLPerf v2.0 Results for AI Servers

Inspur | July 04, 2022

The open engineering consortium MLCommons released the latest MLPerf Training v2.0 results, with Inspur AI servers leading in closed division single-node performance. MLPerf is the world’s most influential benchmark for AI performance. It is managed by MLCommons, with members from more than 50 global leading AI companies and top academic institutions, including Inspur Information, Google, Facebook, NVIDIA, Intel, Harvard University, Stanford University, and the University of California, Berkeley. MLPerf AI Training benchmarks are held twice a year to track improvements in computing performance and provide authoritative data guidance for users. The latest MLPerf Training v2.0 attracted 21 global manufacturers and research institutions, including Inspur Information, Google, NVIDIA, Baidu, Intel-Habana, and Graphcore. There were 264 submissions, a 50% increase over the previous round. The eight AI benchmarks cover current mainstream usage AI scenarios, including image classification with ResNet, medical image segmentation with 3D U-Net, light-weight object detection with RetinaNet, heavy-weight object detection with Mask R-CNN, speech recognition with RNN-T, natural language processing with BERT, recommendation with DLRM, and reinforcement learning with MiniGo. Among the closed division benchmarks for single-node systems, Inspur Information with its high-end AI servers was the top performer in natural language processing with BERT, recommendation with DLRM, and speech recognition with RNN-T. It won the most titles among single-node system submitters. For mainstream high-end AI servers equipped with eight NVIDIA A100 Tensor Core GPUs, Inspur Information AI servers were top ranked in five tasks (BERT, DLRM, RNN-T, ResNet and Mask R-CNN). Continuing to lead in AI computing performance Inspur AI servers continue to achieve AI performance breakthroughs through comprehensive software and hardware optimization. Compared to the MLPerf v0.5 results in 2018, Inspur AI servers showed significant performance improvements of up to 789% for typical 8-GPU server models. The leading performance of Inspur AI servers in MLPerf is a result of its outstanding design innovation and full-stack optimization capabilities for AI. Focusing on the bottleneck of intensive I/O transmission in AI training, the PCIe retimer-free design of Inspur AI servers allows for high-speed interconnection between CPUs and GPUs for reduced communication delays. For high-load, multi-GPU collaborative task scheduling, data transmission between NUMA nodes and GPUs is optimized to ensure that data I/O in training tasks is at the highest performance state. In terms of heat dissipation, Inspur Information takes the lead in deploying eight 500W high-end NVIDIA Tensor Core A100 GPUs in a 4U space, and supports air cooling and liquid cooling. Meanwhile, Inspur AI servers continue to optimize pre-training data processing performance, and adopt combined optimization strategies such as hyperparameter and NCCL parameter, as well as the many enhancements provided by the NVIDIA AI software stack, to maximize AI model training performance. Greatly improving Transformer training performance Pre-trained massive models based on the Transformer neural network architecture have led to the development of a new generation of AI algorithms. The BERT model in the MLPerf benchmarks is based on the Transformer architecture. Transformer’s concise and stackable architecture makes the training of massive models with huge parameters possible. This has led to a huge improvement in large model algorithms, but necessitates higher requirements for processing performance, communication interconnection, I/O performance, parallel extensions, topology and heat dissipation for AI systems. In the BERT benchmark, Inspur AI servers further improved BERT training performance by using methods including optimizing data preprocessing, improving dense parameter communication between NVIDIA GPUs and automatic optimization of hyperparameters, etc. Inspur Information AI servers can complete BERT model training of approximately 330 million parameters in just 15.869 minutes using 2,850,176 pieces of data from the Wikipedia data set, a performance improvement of 309% compared to the top performance of 49.01 minutes in Training v0.7. To this point, Inspur AI servers have won the MLPerf Training BERT benchmark for the third consecutive time. Inspur Information’s two AI servers with top scores in MLPerf Training v2.0 are NF5488A5 and NF5688M6. The NF5488A5 is one of the first servers in the world to support eight NVIDIA A100 Tensor Core GPUs with NVIDIA NVLink technology and two AMD Milan CPUs in a 4U space. It supports both liquid cooling and air cooling. It has won a total of 40 MLPerf titles. NF5688M6 is a scalable AI server designed for large-scale data center optimization. It supports eight NVIDIA A100 Tensor Core GPUs and two Intel Ice Lake CPUs, up to 13 PCIe Gen4 IO, and has won a total of 25 MLPerf titles. About Inspur Information Inspur Information is a leading provider of data center infrastructure, cloud computing, and AI solutions. It is the world’s 2nd largest server manufacturer. Through engineering and innovation, Inspur Information delivers cutting-edge computing hardware design and extensive product offerings to address important technology sectors such as open computing, cloud data center, AI, and deep learning. Performance-optimized and purpose-built, our world-class solutions empower customers to tackle specific workloads and real-world challenges.

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HYPER-CONVERGED INFRASTRUCTURE

Metallic Data Management as a Service on Oracle Cloud Infrastructure Will Accelerate Enterprise Hybrid Cloud Adoption

Commvault | July 01, 2022

Metallic DMaaS on Oracle Cloud is now a part of Commvault's strategic relationship with Oracle, a leader in intelligent data services across on-premises, cloud, and SaaS settings. Metallic's market-leading services will be made available on Oracle Cloud Infrastructure (OCI) and will be accessible in all commercial OCI regions worldwide as part of Commvault's multi-cloud strategy. For business customers wishing to hasten their OCI transition, Metallic and OCI will offer improved price-performance, built-in enhanced security, and streamlined recovery and management. In addition, Oracle users may now safeguard crucial data assets in the cloud or on-premises by utilizing OCI Storage for superior air-gapped ransomware protection while preserving flexibility across customer-controlled storage or a SaaS-delivered data protection service inclusive of managed cloud storage. Metallic DMaaS supports the protection of data against corruption, unauthorized access, and other threats across critical business sectors, such as insurance, financial services, manufacturing, and defense, in the fight against ransomware and cyberattacks. Customers can quickly backup their digital footprint in any consumption model, including cloud-native and on-premises workloads, including databases, virtual machines, Kubernetes, file and object storage, and workloads running on databases and virtual machines. "The combination of Metallic DMaaS and OCI is a big win for customers looking for data mobility, agility, and security as they link on-premises Oracle solutions to OCI and evolve their data management capabilities." Vinny Choinski, senior analyst, Enterprise Strategy Group Metallic's data protection now covers OCI VMs, Oracle Databases, and Oracle Container Engine, thanks to the addition of support for safeguarding OCI workloads and writing to OCI Storage. Additionally, Oracle Linux is accessible to over 400,000 Oracle enterprise customers and the more than 100,000 clients wishing to use Oracle Cloud Infrastructure to protect their mission-critical data but who have previously relied on Commvault technology. As a part of the Oracle PartnerNetwork, Commvault will promote and sell Metallic DMaaS alongside Oracle in a partnership that will hasten Metallic's attempts to become worldwide. Available in the Oracle Cloud Marketplace is Metallic DMaaS. "We're excited to partner with Commvault and enable our customers to restore and recover their most mission-critical cloud data. Data protection and compliance requirements are necessities in today's business environment, which is why we're confident that OCI's built-in, always-on security features combined with Metallic DMaaS will provide additional peace of mind for our joint customers," said Clay Magouyrk, executive vice president, Oracle Cloud Infrastructure.

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APPLICATION INFRASTRUCTURE

Runecast partners with SVA Software, Inc.

Runecast | June 29, 2022

Runecast, a leading provider of patented, predictive analytics for on-premises, hybrid and multi cloud environments, today announced a strategic partnership with SVA Software, Inc., a leading IT infrastructure services provider. The existing relationship between parent-company SVA GmbH, of Germany, and Runecast is now expanded to include SVA Software, Inc. and further the reach of both companies across North America. The SVA Software portfolio includes mainframe optimization solutions, VMware license assessments, infrastructure analytics, data archival and a disaster recovery runbook. SVA models its business on its software and service solutions scaling to meet the needs of its customers' stages of growth and to assist customers in making sense of the data that their systems produce. Customers therefore gain in-depth insights across their systems, enabling them more control in negotiating the next ELA with a vendor. "The strength of our partnership with SVA GmbH in Germany made it an easy choice to extend that partnership also to SVA Software, Inc. in North America. "Having a channel-first approach to market means that we rely on finding the best local partners to enable Runecast growth." Ched Smokovic, Chief Revenue Officer at Runecast Runecast has evolved to be the go-to solution for stabilizing and securing mission-critical IT operations ranging from online shopping and banking to emergency call services and air-traffic control. Runecast is an enterprise platform which brings a proactive approach to various areas of hybrid and multi cloud management and protection. Runecast provides automated best practices, actionable insights and proactive monitoring for VMware, Amazon Web Services (AWS), Microsoft Azure and Kubernetes, as well as OS-level support for Windows and Linux. Coverage for Google Cloud Platform (GCP) is planned for its July release. Recently, G2 reviews ranked Runecast a 'High Performer' in the Spring and Summer 2022 G2 Grid® Reports for the categories Security Risk Analysis, Cloud Workload Protection Platforms (CWPP), Vulnerability Scanner, Cloud Compliance and Cloud Security. "We are happy to add Runecast's unique solution and strength in the VMware space to our portfolio," said Lisa Schwab, VP of Sales and Marketing. "The partnership confirms the commitment in extending an award-winning platform like Runecast to the North American market. Runecast is a perfect complement to SVA's BVQ data analytics platform providing customers with a robust set of solutions to maximize and optimize their IT infrastructures." The Runecast vision for the future is to stay ahead of the challenges that organizations face in a fast-paced and rapidly changing IT environment, to provide the best possible proactive means of mitigating vulnerabilities and maintaining security compliance and uptime – which aligns well with the SVA approach to business. About Runecast Runecast Solutions Ltd. is a leading global provider of a patented solution for IT Security and Operations teams. Forward-focused enterprises like Avast, DocuSign, and Merck rely on Runecast for proactive risk mitigation, security compliance, operational efficiency, and mission-critical stability. Headquartered in London, U.K., Runecast is a Gartner Cool Vendor and has won Computing awards for Cloud Security Product of the Year and Best Place to Work in Digital. About SVA Software, Inc. SVA Software, Inc. is a 100% subsidiary of SVA System Vertrieb Alexander GmbH, a German company. SVA Software, Inc. was founded in 2016 selling SVA GmbH developed solutions combined with value added services. SVA System Vertrieb Alexander GmbH is the largest privately owned system integrator in Germany in the fields of Datacenter Infrastructure and is the largest global IBM Systems Integrator. The company was founded in 1997 in Wiesbaden, Germany. SVA GmbH now employs more than 2,200 employees at 25 branch offices throughout Germany with a revenue of more than $1.3 Billion (2021) servicing over 3,000 customers worldwide.

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