5 IoT challenges to be faced in 2018

As IoT technology continues to evolve at an incredibly rapid pace, consumers and businesses are conjecturing about the new challenges that will be faced in this year and beyond. Let’s find out the top 5 challenges that the IoT eco-system will face in 2018.

Spotlight

CompNova

At CompNova, we believe that to be competitive, a company has to get the most out of its resources. That's why we search the earth for the best people and technologies to bring together cost-effective solutions that won't jeopardize your short term financial goals, while continuing to position you to meet your long term objectives; from implementing billing systems to utilizing the state-of-the-art communications technologies to create an outsourced back-office for you.

OTHER ARTICLES
Application Storage, Data Storage

Ensuring Compliance in IaaS: Addressing Regulatory Requirements in Cloud

Article | July 12, 2023

Stay ahead of the curve and navigate the complex landscape of regulatory obligations to safeguard data in cloud. Explores the challenges of maintaining compliance and strategies for risk mitigation. Contents 1. Introduction 2. 3 Essential Regulatory Requirements 2.1 Before migration 2.2. During migration 2.3. After migration 3. Challenges in Ensuring Compliance in Infrastructure as a Service in Cloud Computing 3.1. Shared Responsibility Model 3.2. Data Breach 3.3. Access Mismanagement 3.4. Audit and Monitoring Challenges 4. Strategies for Addressing Compliance Challenges in IaaS 4.1. Risk Management and Assessment 4.2. Encryption and Collaboration with Cloud Service Providers 4.3. Contractual Agreements 4.4. Compliance Monitoring and Reporting 5. Conclusion 1. Introduction Ensuring Infrastructure as a Service (IaaS) compliance in security is crucial for organizations to meet regulatory requirements and avoid potential legal and financial consequences. However, several challenges must be addressed before and after migration to the cloud. This article provides an overview of the regulatory requirements in cloud computing, explores the challenges faced in ensuring compliance in IaaS, a cloud implementation service and provides strategies for addressing these challenges to ensure a successful cloud migration. 2. 3 Essential Regulatory Requirements When adopting cloud infrastructure as a service, organizations must comply with regulatory requirements before, during, and after migration to the cloud. This ensures avoiding the challenges, firms may face later and suggest solutions if they do so. 2.1 Before migration: Organizations must identify the relevant regulations that apply to their industry and geographic location. This includes: Data Protection Laws, Industry-Specific Regulations, and International Laws. 2.2. During migration: Organizations must ensure that they meet regulatory requirements while transferring data and applications to the cloud. This involves: Ensuring proper access management, data encryption, and data residency requirements. 2.3. After migration: Organizations must continue to meet regulatory requirements through ongoing monitoring and reporting. This includes: Regularly reviewing and updating security measures, ensuring proper data protection, and complying with audit and reporting requirements. 3. Challenges in Ensuring Compliance in Infrastructureas a Service in Cloud Computing 3.1. Shared Responsibility Model The lack of control over the infrastructure in IaaS cloud computing is caused by the shared responsibility model of IaaS, where the cloud service provider is responsible for the IaaS security while the customer is responsible for securing the data and applications they store and run in the cloud. According to a survey, 22.8% of respondents cited the lack of control over infrastructure as a top concern for cloud security. (Source: Cloud Security Alliance) 3.2. Data Breach Data breaches have serious consequences for businesses, including legal and financial penalties, damage to their reputation, and the loss of customer trust. The location of data and the regulations governing its storage and processing create challenges for businesses operating in multiple jurisdictions. The global average total cost of a data breach increased by USD 0.11 million to USD 4.35 million in 2022, the highest it's been in the history of this report. The increase from USD 4.24 million in the 2021 report to USD 4.35 million in the 2022 report represents a 2.6% increase. (Source: IBM) 3.3. Access Mismanagement Insider threats, where authorized users abuse their access privileges, can be a significant challenge for access management in IaaS. This includes the intentional or accidental misuse of credentials or non-protected infrastructure and the theft or loss of devices containing sensitive data. The 2020 data breach investigations report found that over 80% of data breaches were caused by compromised credentials or human error, highlighting the importance of effective access management. (Source: Verizon) 3.4. Audit and Monitoring Challenges Large volumes of alerts overwhelm security teams, leading to fatigue and missed alerts, which result in non-compliance or security incidents going unnoticed. Limited resources may also make it challenging to effectively monitor and audit infrastructure as a service cloud environment, including the implementation and maintenance of monitoring tools. 4. Strategies for Addressing Compliance Challenges in IaaS 4.1. Risk Management and Assessment Risk Assessment and Management includes conducting a risk assessment, including assessing risks related to data security, access controls, and regulatory compliance. It also involves implementing risk mitigation measures to address identified risks, like additional security measures or access controls such as encryption or multi-factor authentication. 4.2. Encryption and Collaboration with Cloud Service Providers Encryption can be implemented at the application, database, or file system level, depending on the specific needs of the business. In addition, businesses should establish clear service level agreements with their cloud service provider related to data protection. This includes requirements for data security, access controls, and backup and recovery processes. 4.3. Contractual Agreements The agreement should also establish audit and compliance requirements, including regular assessments of access management controls and policies. Using contractual agreements, organizations help ensure that they are clearly defined and that the cloud service provider is held accountable for implementing effective access management controls and policies. 4.4. Compliance Monitoring and Reporting Monitoring and Reporting involves setting up automated monitoring and reporting mechanisms that track compliance with relevant regulations and standards and generate reports. They should also leverage technologies such as intrusion detection and prevention systems, security information and event management (SIEM) tools, and log analysis tools to collect, analyze, and report on security events in real time. 5. Conclusion In accordance with the increasing prevalence of data breaches and the growing complexity of regulatory requirements, maintaining a secure and compliant cloud environment will be crucial for businesses to build trust with customers and avoid legal and financial risks. Addressing these requirements, the cloud helps companies maintain data privacy, avoid legal risks, and build customer trust. Organizations create a secure and compliant cloud environment that meets their needs by overcoming challenges and implementing best practices, working closely with cloud service providers. Ultimately, by prioritizing compliance and investing in the necessary resources and expertise, businesses can navigate these challenges and unlock the full potential of the cloud with confidence.

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Hyper-Converged Infrastructure, Windows Systems and Network

The Future of Computing: Why IaaS is Leading the Way

Article | July 11, 2023

Firms face challenges with managing their resources, and ensuring security & cost optimization, adding complexity to their operations. IaaS solves this need to maintain and manage IT infrastructure. Contents 1. Infrastructure as a Service: Future of Cloud Computing 2. Upcoming Trends in IaaS 2.1 The Rise of Edge Computing 2.2 Greater Focus on Security 2.3 Enhancement in Serverless Architecture 2.4 Evolution of Green Computing 2.5 Emergence of Containerization 3. Final Thoughts 1. Infrastructure as a Service: Future of Cloud Computing As digital transformation continues to reshape the business landscape, cloud computing is emerging as a critical enabler for companies of all sizes. With infrastructure-as-a-service (IaaS), businesses can outsource their hardware and data center management to a third-party provider, freeing up resources and allowing them to focus on their core competencies, reducing operational costs while maintaining the agility to adapt to changing market conditions. With the increasing need for scalable computing solutions, IaaS is set to become a pivotal player in shaping the future of computing. IaaS is already emerging as a prominent solution for organizations looking to modernize their computing capabilities. This article will delve into the recent trends of IaaS and its potential impact on the computing industry, implying why IaaS is important for emerging businesses. 2. Upcoming Trends in IaaS 2.1 The Rise of Edge Computing The rise in IoT and mobile computing has led to a challenge in the amount of data that can be transferred across a network in a certain period. Due to its many uses, such as improving reaction times for self-driving cars and safeguarding confidential health information, the market for edge computing infrastructure is expected to reach a value of $450 billion. (Source: CB Insights) Edge computing is a technology that enables data processing to occur closer to its origin, thereby reducing the volume of data that needs to be transmitted to and from the cloud. A mesh network of micro data centers that process or store critical data locally and push all received data to a central data center or cloud storage repository in a footprint of less than 100 square feet. (Source: IDC) Edge computing represents the fourth major paradigm shift in modern computing, following mainframes, client/server models, and the cloud. A hybrid architecture of interconnected IaaS services allows for low latency through edge computing and high performance, security, and flexibility through a private cloud. Connecting edge devices to an IaaS platform streamlines location management and enables remote work, thus looking forward to smoother future of IaaS. An edge layer (fog computing) is required to optimize the architecture model with high-speed and reliable 5G connectivity, connecting edge devices with the cloud. This layer acts as autonomous distributed nodes, capable of analyzing and acting on real-time data. Doing so sends only the data required to the central infrastructure in an IaaS instance. By combining the advantages of edge computing in data capture with the storage and processing capabilities of the cloud, companies can take full advantage of the benefits of data analytics to leverage their innovation and optimization capabilities while simultaneously and effectively managing IoT devices on the edge. IoT devices, also known as edge devices, possess the ability to analyze data in real time through the use of AI, ML, and algorithms, even in the absence of an internet connection. This technology yields numerous advantages, including superior decision-making, early detection of issues, and heightened efficiency. However, an IaaS infrastructure with top-notch computing and storage capabilities is an absolute necessity to analyze the data effectively. 2.2 Greater Focus on Security Hackers might use cloud-based services to host malware through malware-as-a-service (MaaS) platforms or to distribute malware payloads using cloud-based apps and services. In addition, organizations often need more than they can secure in their IaaS footprint, leading to increased misconfigurations and vulnerabilities. Recognizing and reacting to an attack is called reactive security, whereas anticipating a dangerous event before it happens and intervening to prevent it is predictive safety. Predictive security is the future of cloud security. The cybersecurity mesh involves setting up a distributed network and infrastructure to create a secure perimeter. This allows companies to centrally manage access to their data while enforcing security policies across the distributed network. It is a critical component of the Zero-Trust architecture. A popular IaaS cloud security trend is the multi-cloud environment. Multi-cloud proves effective when tools like security information and event management (SIEM) and threat intelligence are deployed. DevSecOps is a methodology that incorporates security protocols at every stage of software development lifecycle (SDLC). This makes it convenient to deal with threats during the lifecycle itself. Since deploying DevOps, software releases have been shortened for every product release. DevSecOps proves to be secure and fast only with a fully automated software development lifecycle. The DevOps and security teams must collaborate to provide massive digital transformation and security. Digital services and applications need stronger and better security in exponential amounts. This methodology must be enforced in a CI/CD pipeline to make it a continuous process. Secure access service edge (SASE) is a cloud-based architecture that integrates networking and software-as-a-service (SaaS) functions, providing them as a unified cloud service. The architecture combines a software-defined wide area network (SD-WAN) or other WAN with multiple security capabilities, securing network traffic. 2.3 Enhancement in Serverless Architecture Serverless architecture apps are launched on demand when an event triggers the app code to run. The public cloud provider then assigns the resources necessary for the operation to occur. With serverless apps, containers are deployed and launched on demand when needed. This differs from the traditional IaaS cloud computing model, where users must pre-purchase capacity units for always-on server components to run their apps. The app will incur minimal charges during off-peak hours with a serverless model. When there is a surge in traffic, it can scale up seamlessly through the provider without requiring DevOps involvement. A serverless database is a type of database that operates as a fully managed database-as-a-service (DBaaS). It automatically adjusts its computing and storage resources to match the demand, making it convenient for users. A serverless database is a cloud based service that eliminates the need to manage infrastructure, scaling, and provisioning. It allows developers to concentrate on constructing applications or digital products without the burden of managing servers, storage, or backups. 2.4 Evolution of Green Computing In promoting green computing, infrastructure-as-a-service plays a significant role by allowing cloud providers to manage the infrastructure. This helps reduce the environmental impact and boosts efficiency by intelligently utilizing servers at high utilization rates. As a result, studies show that public cloud infrastructure is typically 2-4 times more efficient than traditional data centers, a giant leap forward for sustainable computing practices. 2.5 Emergence of Containerization Containerization is a type of operating system virtualization where applications are executed in distinct user spaces called containers. These containers operate on the same shared operating system, providing a complete, portable computing environment for virtualized infrastructure. Containers are self-contained software packages operating in any environment, including private data centers, public clouds, or developer laptops. They comprise all the necessary components required for the right functioning of IaaS-adopted cloud computing. 3. Final Thoughts With the expansion of multi-cloud environments, the emergence of containerization technologies like Docker and Kubernetes, and enhancements in serverless databases, IaaS is poised to become even more powerful and versatile in meeting the diverse computing needs of organizations. These advancements have enabled IaaS providers to offer a wide range of services and capabilities, such as automatic scaling, load balancing, and high availability, making it easier for businesses to build, deploy, and manage their applications swiftly in the cloud.

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Hyper-Converged Infrastructure

The importance of location intelligence and big data for 5G growth

Article | July 13, 2023

The pandemic has had a seismic impact on the telecom sector. This is perhaps most notably because where and how the world goes to work has been re-defined, with nearly every business deepening its commitment to mobility. Our homes suddenly became our offices, and workforces went from being centrally managed to widely distributed. This has called for a heightened need for widespread, secure and high-speed connectivity around the clock. 5G has answered the call, and 5G location intelligence and big data can provide service providers with the information they need to optimize their investments. Case in point: Juniper Research reported in its 5G Monetization study that global revenue from 5G services will reach $73 billion by the end of 2021, rising from just $20 billion last year. 5G flexes as connected devices surge Market insights firm IoT Analytics estimates there will be more than 30 billion IoT connections by 2025. That's an average of nearly four IoT devices per person. To help meet the pressure this growth in connectivity is putting on telecom providers, the Federal Communications Commission (FCC) is taking action to make additional spectrum available for 5G services and promoting the digital opportunities it provides to Americans. The FCC is urging that investments in 5G infrastructure be prioritized given the "widespread mobility opportunity" it presents, as stated by FCC Chairwoman Jessica Rosenworcel. While that's a good thing, we must also acknowledge that launching a 5G network presents high financial risk, among other challenges. The competitive pressures are significant, and network performance matters greatly when it comes to new business acquisition and retention. It's imperative to make wise decisions on network build-out to ensure investments yield the anticipated returns. Thus, telcos need not – and should not – go it blindly when considering where to invest. You don't know what you don't know, which is why 5G location intelligence and big data can provide an incredible amount of clarity (and peace of mind) when it comes to optimizing investments, increasing marketing effectiveness and improving customer satisfaction. Removing the blindfold Location data and analytics provide telcos and Communications Service Providers (CSPs) with highly-specific insights to make informed decisions on where to invest in 5G. With this information, companies can not only map strategic expansion, but also better manage assets, operations, customers and products. For example, with this intelligence, carriers can gain insight into the most desired locations of specific populations and how they want to use bandwidth. They can use this data to arm themselves with a clear understanding of customer location and mobility, mapping existing infrastructure and competitive coverage against market requirements to pinpoint new opportunities. By creating complex customer profiles rich with demographic information like age, income and lifestyle preferences, the guesswork is eliminated for where the telco should or shouldn’t deploy new 5G towers. Further, by mapping a population of consumers and businesses within a specific region and then aggregating that information by age, income or business type, for example, a vivid picture comes to life of the market opportunity for that area. This type of granular location intelligence adds important context to existing data and is a key pillar to data integrity, which describes the overall quality and completeness of a dataset. When telcos can clearly understand factors such as boundaries, movement and the customers’ surroundings, predictive insights can be made regarding demographic changes and future telecom requirements within a certain location. This then serves as the basis for a data-backed 5G expansion strategy. Without it, businesses are burdened by the trial-and-error losses that are all too common with 5G build-outs. Location precision's myriad benefits Improved location precision has many benefits for telcos looking to pinpoint where to build, market and provision 5G. Among them are: Better data: Broadening insights on commercial, residential and mixed-use locations through easy-to-consume, scalable datasets provide highly accurate in-depth analyses for marketing and meeting customer demand. Better serviceability insights: Complete and accurate location insights allow for a comprehensive view of serviceable addresses where products and services can be delivered to current and new customers causing ROI to improve and customers to be adequately served. Better subscriber returns: Companies that deploy fixed wireless services often experience plan cancellations due to inconsistencies of signal performance, which typically result from the misalignment of sites with network assets. Location-based data provides operators with the ability to adapt their networks for signal consistency and serviceability as sites and structures change. The 5G future The role of location intelligence in accelerating development of new broadband services and driving ROI in a 5G world cannot be overstated. It adds a critical element of data integrity that informs network optimization, customer targeting and service provisioning so telecom service providers can ensure their investments are not made with blind hope.

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Application Infrastructure

All You Need to Know About IaaS Vs. PaaS Vs. SaaS

Article | August 8, 2022

Nowadays, SaaS, IaaS, and PaaS are some of the most common names across the B2B and B2C sectors. This is because they have become the most efficient and go-to tool for starting a business. Together, they are significantly changing business operations around the globe and have emerged as separate sectors, revamping concepts of various product development, building and delivery processes. SaaS Vs PaaS Vs IaaS Each cloud computing model offers specific features and functionalities. Therefore, your organization must understand the differences. Whether you require cloud-based software to create customized applications, get complete control over your entire infrastructure without physically maintaining it, or simply for storage options, there is a cloud service for you. No matter what you choose, migrating to the cloud is the future of your business and technology. What is the Difference? IaaS: Aka Infrastructure as a Service IaaS allows organizations to manage their business resources such as their servers, network, and data storage on the cloud. PaaS: Aka Platform as a Service allows businesses and developers to build, host, and deploy consumer-facing apps. SaaS: Aka Software as a Service offers businesses and consumers cloud-based tools and applications for everyday use. You can easily access all three cloud computing tools on the internet browser or online apps. A great example would be Google Docs; Instead of working on one MS Word document and sending it around to each other, Google Docs allows your team to work and simultaneously collaborate online. The Market Value A recent report says that by 2028, the global SaaS market will be worth $716.52 billion, and by 2030, the global PaaS market will be worth $319 billion. Moreover, the global IaaS market is expected to be worth $292.58 billion by 2028, giving market players many opportunities. XaaS: Everything as a Service Another term more frequently used in IT is XaaS, short for Everything as a Service. It has emerged as a critical enabler of the Autonomous Digital Enterprise. XaaS is a term for highly customized, responsive, data-driven products and services that are entirely in the hands of the customer and based on the information they give through everyday IoT devices like cell phones and thermostats. Businesses can utilize this data generated over the cloud to deepen their customer relationships, sustain the sale beyond the initial product purchase and innovate faster. Conclusion Cloud computing is not restricted by physical hardware or office space. On the contrary, it allows your remote teams to work more effectively and seamlessly than ever, boosting productivity. Therefore, it offers maximum flexibility and scalability. IaaS, SaaS, PaaS; whichever solution you choose, options are always available to help you and your team move into cloud computing.

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Spotlight

CompNova

At CompNova, we believe that to be competitive, a company has to get the most out of its resources. That's why we search the earth for the best people and technologies to bring together cost-effective solutions that won't jeopardize your short term financial goals, while continuing to position you to meet your long term objectives; from implementing billing systems to utilizing the state-of-the-art communications technologies to create an outsourced back-office for you.

Related News

Hyper-Converged Infrastructure, Storage Management, IT Systems Management

Supermicro Launches Industry's First NVIDIA HGX H100 8 and 4-GPU H100 Servers with Liquid Cooling -- Reduces Data Center Power Costs by Up to 40%

Prnewswire | May 22, 2023

Supermicro, Inc. (NASDAQ: SMCI), a Total IT Solution Provider for Cloud, AI/ML, Storage, and 5G/Edge, continues to expand its data center offerings with liquid cooled NVIDIA HGX H100 rack scale solutions. Advanced liquid cooling technologies entirely from Supermicro reduce the lead time for a complete installation, increase performance, and result in lower operating expenses while significantly reducing the PUE of data centers. Savings for a data center are estimated to be 40% for power when using Supermicro liquid cooling solutions compared to an air-cooled data center. In addition, up to 86% reduction in direct cooling costs compared to existing data centers may be realized. "Supermicro continues to lead the industry supporting the demanding needs of AI workloads and modern data centers worldwide," said Charles Liang, president, and CEO of Supermicro. "Our innovative GPU servers that use our liquid cooling technology significantly lower the power requirements of data centers. With the amount of power required to enable today's rapidly evolving large scale AI models, optimizing TCO and the Total Cost to Environment (TCE) is crucial to data center operators. We have proven expertise in designing and building entire racks of high-performance servers. These GPU systems are designed from the ground up for rack scale integration with liquid cooling to provide superior performance, efficiency, and ease of deployments, allowing us to meet our customers' requirements with a short lead time." To learn more about Supermicro's GPU servers, visit: https://www.supermicro.com/en/products/gpu AI-optimized racks with the latest Supermicro product families, including the Intel and AMD server product lines, can be quickly delivered from standard engineering templates or easily customized based on the user's unique requirements. Supermicro continues to offer the industry's broadest product line with the highest-performing servers and storage systems to tackle complex compute-intensive projects. Rack scale integrated solutions give customers the confidence and ability to plug the racks in, connect to the network and become more productive sooner than managing the technology themselves. The top-of-the-line liquid cooled GPU server contains dual Intel or AMD CPUs and eight or four interconnected NVIDIA HGX H100 Tensor Core GPUs. Using liquid cooling reduces the power consumption of data centers by up to 40%, resulting in lower operating costs. In addition, both systems significantly surpass the previous generation of NVIDIA HGX GPU equipped systems, providing up to 30x performance and efficiency in today's large transformer models with faster GPU-GPU interconnect speed and PCIe 5.0 based networking and storage. State-of-the-art eight NVIDIA H100 SXM5 Tensor Core GPU servers from Supermicro for today's largest scale AI models include: SYS-821GE-TNHR – (Dual 4th Gen Intel Xeon Scalable CPUs, NVIDIA HGX H100 8 GPUs, 8U)https://www.supermicro.com/en/products/system/GPU/8U/SYS-821GE-TNHR AS -8125GS-TNHR – (Dual 4th Gen AMD EPYC CPUs, NVIDIA HGX H100 8 GPUs, 8U)https://www.supermicro.com/en/products/system/GPU/8U/AS-8125GS-TNHR Supermicro also designs a range of GPU servers customizable for fast AI training, vast volume AI inferencing, or AI-fused HPC workloads, including the systems with four NVIDIA H100 SXM5 Tensor Core GPUs. SYS-421GU-TNXR - (Dual 4th Gen Intel Xeon Scalable CPUs, NVIDIA HGX H100 4 GPUs, 4U)https://www.supermicro.com/en/products/system/GPU/4U/SYS-421GU-TNXR SYS-521GU-TNXR - (Dual 4th Gen Intel Xeon Scalable CPUs, NVIDIA HGX H100 4 GPUs, 5U)https://www.supermicro.com/en/products/system/GPU/4U/SYS-521GU-TNXR Supermicro's liquid cooling rack level solution includes a Coolant Distribution Unit (CDU) that provides up to 80kW of direct-to-chip (D2C) cooling for today's highest TDP CPUs and GPUs for a wide range of Supermicro servers. The redundant and hot-swappable power supply and liquid cooling pumps ensure that the servers will be continuously cooled, even with a power supply or pump failure. The leak-proof connectors give customers the added confidence of uninterrupted liquid cooling for all systems. Learn more about the Supermicro Liquid Cooling system at: https://www.supermicro.com/en/solutions/liquid-cooling Rack scale design and integration has become a critical service for systems suppliers. As AI and HPC have become an increasingly critical technology within organizations, configurations from the server level to the entire data center must be optimized and configured for maximum performance. The Supermicro system and rack scale experts work closely with customers to explore the requirements and have the knowledge and manufacturing abilities to deliver significant numbers of racks to customers worldwide. Read the Supermicro Large Scale AI Solution Brief - https://www.supermicro.com/solutions/Solution-Brief_Rack_Scale_AI.pdf Supermicro at ISC To explore these technologies and meet with our experts, plan on visiting the Supermicro Booth D405 at ISC High Performance 2023 event in Hamburg, Germany, May 21 – 25, 2023. About Super Micro Computer, Inc. Supermicro (NASDAQ: SMCI) is a global leader in Application-Optimized Total IT Solutions. Founded and operating in San Jose, California, Supermicro is committed to delivering first to market innovation for Enterprise, Cloud, AI, and 5G Telco/Edge IT Infrastructure. We are transforming into a Total IT Solutions provider with server, AI, storage, IoT, and switch systems, software, and services while delivering advanced high-volume motherboard, power, and chassis products. The products are designed and manufactured in-house (in the US, Taiwan, and the Netherlands), leveraging global operations for scale and efficiency and optimized to improve TCO and reduce environmental impact (Green Computing). The award-winning portfolio of Server Building Block Solutions® allows customers to optimize for their exact workload and application by selecting from a broad family of systems built from our flexible and reusable building blocks that support a comprehensive set of form factors, processors, memory, GPUs, storage, networking, power and cooling solutions (air-conditioned, free air cooling or liquid cooling). Supermicro, Server Building Block Solutions, and We Keep IT Green are trademarks and/or registered trademarks of Super Micro Computer, Inc.

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Synchronoss and Microsoft Partner on Infrastructure for Smart Buildings

IoT Evolution World | August 07, 2019

Synchronoss Technologies, a cloud, messaging, digital and IoT products company, and Microsoft have announced a partnership to deliver a Smart Buildings solution. By leveraging Microsoft Azure and joining Microsoft’s Azure IoT solutions accelerator program, Synchronoss said it will develop and offer a Smart Buildings solution. The collaboration reportedly will start by delivering a live proof of concept (PoC) to global technology services provider Rackspace, deploying a smart buildings service to monitor, control, and optimize energy usage and reduce costs at Rackspace’s San Antonio headquarters, which spans more than one million square feet. Rackspace collaborated with Synchronoss to architect, design and deploy its Azure IoT environment based on industry best practices to ensure optimal scalability and security. Synchronoss and Microsoft have said they will now combine their expertise in cloud computing and IoT service enablement to collect and analyze data feeds from numerous sources within Rackspace’s headquarters. The combined IoT Smart Buildings enablement platform is designed to cover everything from heating and air conditioning to lighting, maintenance and security.

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Hacking infrastructure made easy with IIoT and 5G

FutureIoT | July 19, 2019

In the movie, Die Hard 4: Live Free or Die Hard, internet-based terrorist and former U.S. Department of Defense, decides to take down America by crippling its commercial and industrial infrastructure hacking into the very computers that manage these systems. The tools used for the hacking in the movie are NMAP or Network Mapper, a network port scanner and service detector offering stealth SYN scan, ping sweep, FTP bounce, UDP scan, operating system discovery. It also happens to be a free and open-source utility. While some argue that the hacking, in the movie, was too easy, the scenario is still plausible and we hear of this often enough as in the case of Triton or Trisis which targeted older versions of Schneider Electric’s Triconex Safety Instrumented System (SIS) controllers. FutureIoT spoke to Chakradhar Jonagam, Head Software Architect, Biqmind – a cloud backup solution, to discuss among other things how organisations continue to struggle with security industrial infrastructure.

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Hyper-Converged Infrastructure, Storage Management, IT Systems Management

Supermicro Launches Industry's First NVIDIA HGX H100 8 and 4-GPU H100 Servers with Liquid Cooling -- Reduces Data Center Power Costs by Up to 40%

Prnewswire | May 22, 2023

Supermicro, Inc. (NASDAQ: SMCI), a Total IT Solution Provider for Cloud, AI/ML, Storage, and 5G/Edge, continues to expand its data center offerings with liquid cooled NVIDIA HGX H100 rack scale solutions. Advanced liquid cooling technologies entirely from Supermicro reduce the lead time for a complete installation, increase performance, and result in lower operating expenses while significantly reducing the PUE of data centers. Savings for a data center are estimated to be 40% for power when using Supermicro liquid cooling solutions compared to an air-cooled data center. In addition, up to 86% reduction in direct cooling costs compared to existing data centers may be realized. "Supermicro continues to lead the industry supporting the demanding needs of AI workloads and modern data centers worldwide," said Charles Liang, president, and CEO of Supermicro. "Our innovative GPU servers that use our liquid cooling technology significantly lower the power requirements of data centers. With the amount of power required to enable today's rapidly evolving large scale AI models, optimizing TCO and the Total Cost to Environment (TCE) is crucial to data center operators. We have proven expertise in designing and building entire racks of high-performance servers. These GPU systems are designed from the ground up for rack scale integration with liquid cooling to provide superior performance, efficiency, and ease of deployments, allowing us to meet our customers' requirements with a short lead time." To learn more about Supermicro's GPU servers, visit: https://www.supermicro.com/en/products/gpu AI-optimized racks with the latest Supermicro product families, including the Intel and AMD server product lines, can be quickly delivered from standard engineering templates or easily customized based on the user's unique requirements. Supermicro continues to offer the industry's broadest product line with the highest-performing servers and storage systems to tackle complex compute-intensive projects. Rack scale integrated solutions give customers the confidence and ability to plug the racks in, connect to the network and become more productive sooner than managing the technology themselves. The top-of-the-line liquid cooled GPU server contains dual Intel or AMD CPUs and eight or four interconnected NVIDIA HGX H100 Tensor Core GPUs. Using liquid cooling reduces the power consumption of data centers by up to 40%, resulting in lower operating costs. In addition, both systems significantly surpass the previous generation of NVIDIA HGX GPU equipped systems, providing up to 30x performance and efficiency in today's large transformer models with faster GPU-GPU interconnect speed and PCIe 5.0 based networking and storage. State-of-the-art eight NVIDIA H100 SXM5 Tensor Core GPU servers from Supermicro for today's largest scale AI models include: SYS-821GE-TNHR – (Dual 4th Gen Intel Xeon Scalable CPUs, NVIDIA HGX H100 8 GPUs, 8U)https://www.supermicro.com/en/products/system/GPU/8U/SYS-821GE-TNHR AS -8125GS-TNHR – (Dual 4th Gen AMD EPYC CPUs, NVIDIA HGX H100 8 GPUs, 8U)https://www.supermicro.com/en/products/system/GPU/8U/AS-8125GS-TNHR Supermicro also designs a range of GPU servers customizable for fast AI training, vast volume AI inferencing, or AI-fused HPC workloads, including the systems with four NVIDIA H100 SXM5 Tensor Core GPUs. SYS-421GU-TNXR - (Dual 4th Gen Intel Xeon Scalable CPUs, NVIDIA HGX H100 4 GPUs, 4U)https://www.supermicro.com/en/products/system/GPU/4U/SYS-421GU-TNXR SYS-521GU-TNXR - (Dual 4th Gen Intel Xeon Scalable CPUs, NVIDIA HGX H100 4 GPUs, 5U)https://www.supermicro.com/en/products/system/GPU/4U/SYS-521GU-TNXR Supermicro's liquid cooling rack level solution includes a Coolant Distribution Unit (CDU) that provides up to 80kW of direct-to-chip (D2C) cooling for today's highest TDP CPUs and GPUs for a wide range of Supermicro servers. The redundant and hot-swappable power supply and liquid cooling pumps ensure that the servers will be continuously cooled, even with a power supply or pump failure. The leak-proof connectors give customers the added confidence of uninterrupted liquid cooling for all systems. Learn more about the Supermicro Liquid Cooling system at: https://www.supermicro.com/en/solutions/liquid-cooling Rack scale design and integration has become a critical service for systems suppliers. As AI and HPC have become an increasingly critical technology within organizations, configurations from the server level to the entire data center must be optimized and configured for maximum performance. The Supermicro system and rack scale experts work closely with customers to explore the requirements and have the knowledge and manufacturing abilities to deliver significant numbers of racks to customers worldwide. Read the Supermicro Large Scale AI Solution Brief - https://www.supermicro.com/solutions/Solution-Brief_Rack_Scale_AI.pdf Supermicro at ISC To explore these technologies and meet with our experts, plan on visiting the Supermicro Booth D405 at ISC High Performance 2023 event in Hamburg, Germany, May 21 – 25, 2023. About Super Micro Computer, Inc. Supermicro (NASDAQ: SMCI) is a global leader in Application-Optimized Total IT Solutions. Founded and operating in San Jose, California, Supermicro is committed to delivering first to market innovation for Enterprise, Cloud, AI, and 5G Telco/Edge IT Infrastructure. We are transforming into a Total IT Solutions provider with server, AI, storage, IoT, and switch systems, software, and services while delivering advanced high-volume motherboard, power, and chassis products. The products are designed and manufactured in-house (in the US, Taiwan, and the Netherlands), leveraging global operations for scale and efficiency and optimized to improve TCO and reduce environmental impact (Green Computing). The award-winning portfolio of Server Building Block Solutions® allows customers to optimize for their exact workload and application by selecting from a broad family of systems built from our flexible and reusable building blocks that support a comprehensive set of form factors, processors, memory, GPUs, storage, networking, power and cooling solutions (air-conditioned, free air cooling or liquid cooling). Supermicro, Server Building Block Solutions, and We Keep IT Green are trademarks and/or registered trademarks of Super Micro Computer, Inc.

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Synchronoss and Microsoft Partner on Infrastructure for Smart Buildings

IoT Evolution World | August 07, 2019

Synchronoss Technologies, a cloud, messaging, digital and IoT products company, and Microsoft have announced a partnership to deliver a Smart Buildings solution. By leveraging Microsoft Azure and joining Microsoft’s Azure IoT solutions accelerator program, Synchronoss said it will develop and offer a Smart Buildings solution. The collaboration reportedly will start by delivering a live proof of concept (PoC) to global technology services provider Rackspace, deploying a smart buildings service to monitor, control, and optimize energy usage and reduce costs at Rackspace’s San Antonio headquarters, which spans more than one million square feet. Rackspace collaborated with Synchronoss to architect, design and deploy its Azure IoT environment based on industry best practices to ensure optimal scalability and security. Synchronoss and Microsoft have said they will now combine their expertise in cloud computing and IoT service enablement to collect and analyze data feeds from numerous sources within Rackspace’s headquarters. The combined IoT Smart Buildings enablement platform is designed to cover everything from heating and air conditioning to lighting, maintenance and security.

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Hacking infrastructure made easy with IIoT and 5G

FutureIoT | July 19, 2019

In the movie, Die Hard 4: Live Free or Die Hard, internet-based terrorist and former U.S. Department of Defense, decides to take down America by crippling its commercial and industrial infrastructure hacking into the very computers that manage these systems. The tools used for the hacking in the movie are NMAP or Network Mapper, a network port scanner and service detector offering stealth SYN scan, ping sweep, FTP bounce, UDP scan, operating system discovery. It also happens to be a free and open-source utility. While some argue that the hacking, in the movie, was too easy, the scenario is still plausible and we hear of this often enough as in the case of Triton or Trisis which targeted older versions of Schneider Electric’s Triconex Safety Instrumented System (SIS) controllers. FutureIoT spoke to Chakradhar Jonagam, Head Software Architect, Biqmind – a cloud backup solution, to discuss among other things how organisations continue to struggle with security industrial infrastructure.

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