IT SYSTEMS MANAGEMENT
Inspur | July 08, 2022
Inspur Information, a leading IT infrastructure solutions provider, is recognized as part of the IDC Supply Chain Technology Leaders Program for its “Digital Supply Chain Enabled by the JDM (Joint Design Manufacture) Business Model” project.
The IDC Supply Chain Technology Leaders Program recognized organizations in the Asia/Pacific region excluding Japan, for their outstanding achievements in the digital transformation of supply chains. A total of 10 projects, including from Inspur Information, were selected by the jury consisting of global IDC analysts, academic experts, experts from research institutions, and representatives of end-users.
Inspur Information continues to refine the JDM model and supply chains by leveraging new technologies such as AI, 5G, edge computing, and cloud computing. This innovation has transformed the traditional cost-cutting supply chain into a new customer-centric supply chain, which was highly regarded by the jury for its sophistication, efficiency, flexibility, and resilience.
Reshaping the supply chain through digital transformation, and customization with higher agility and efficiency
Inspur Information's JDM model is a customization-oriented business model driven by customer needs. Riding the wave of integration of the cloud, big data and AI, cloud computing service providers are committed to developing innovative applications such as cloud, AI and edge computing, while seeking ways to disrupt the traditional business model for standardized server production. The customers need server manufacturers to provide customized products, solutions and services to adapt to new business lines and scenarios. Inspur Information created the JDM model to better support cloud computing service providers, and popularized customized products and services across the IT market, ushering in a new era of customization in the IT industry.
An agile, flexible and resilient new supply chain is the cornerstone of the JDM model. Inspur Information is making an ongoing effort in the digital transformation of the supply chain, establishing an intelligent, end-to-end supply chain system connecting upstream suppliers and downstream partners.
Inspur Information's supply chain was designed for sophisticated mass customization far above the industry level. Personalized product orders account for more than 80% of Inspur Information's business, involving nearly 200 products in 115,000 configurations. Despite this complexity, Inspur Information remains a global leader in supply chain agility and continues to reduce costs. The company has shortened the development cycle for new products from 1.5 years to 9 months and can go from development to delivery in less than 3 months. 97% of production orders can be confirmed within 24 hours and delivered in 5-7 days. Although the prices for key components increased by 5.5% overall in 2021, Inspur Information was able to reduce the cost of key components by 3%, a total cost savings of nearly 150 million USD for its customers.
A resilient, intelligent supply chain for on demand-delivery in the global supply crunch
Despite worldwide component shortages, Inspur Information’s components supply remains stable, even with increasing sales. In the first quarter of 2022, the company's revenue increased by over 48% year-on-year.
The resilience of Inspur Information's supply chain is the result of years of effort in improving supply chain process and digital transformation. Inspur Information requires that every component has a substitution rate of over 100%, and has defined exact requirements for the geographic distribution of suppliers. The highly fault-tolerant supply chain allows Inspur Information to deal with the component supply issues with ease through component substitution. In 2021, Inspur Information completed the substitution verification for more than 1,500 key components, eliminating delivery risks for 150,000 servers.
Inspur Information has deployed dozens of information systems such as ERP, MES, WMS and PLM, and built a global supply chain control tower, a panoramic customer ecosystem platform, a supplier ecosystem collaboration platform, a digital factory, and other core platforms. All business processes are highly automated, with 96% of production orders generated and 98% of material plans executed automatically. The supply chain control tower enables the formulation of both forecast-based demand and material procurement plans and order-driven production and material plans. This forms a dual management model for linking supply and demand to support the planning and coordination, production capacity planning, and 52-week rolling forecast for Inspur Information’s 10 manufacturing facilities strategically placed around the world. Meanwhile, Inspur Information has established 6 cross-organizational supply guarantee teams, which work to empower key suppliers, strengthen the management of tier-2 and tier-3 suppliers, enhance supply sharing policies and ensure the stable supply of components and materials. As a result, the company's on-time fulfillment rate for orders has remained above 98%.
Inspur Information has become the world's second server supplier and the world's largest AI server supplier, thanks to its initiatives including the JDM model, supply chain reconstruction and digital transformation. The company's success is about more than providing digital and intelligent products and solutions for various sectors. It also sets a path for the industry to follow with its innovative business model and supply chain enabled by digital and AI technologies.
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
HYPER-CONVERGED INFRASTRUCTURE,APPLICATION INFRASTRUCTURE
Qii.AI | September 08, 2022
Qii.AI, the provider of digital inspection software for infrastructure, announced today that it is partnering with Skydio, the leading U.S. drone manufacturer and world leader in autonomous flight, to make drone-powered inspection more efficient and effective for customers across North America.
Drones are powerful and cost-effective tools for inspection, and autonomy is the key to deploying these solutions for safe and reliable operation. Skydio's adaptive scanning software, Skydio 3D Scan™, extends the company's groundbreaking autonomous flight engine with advanced artificial intelligence (AI) skills that automate photographic data collection and mapping tasks ranging from infrastructure asset inspection to crime and accident scene reconstruction. Through this integration, customers using Skydio 3D Scan™ software will now be able to utilize Qii.AI's computer-assisted detection and quantification of corrosion-related defects. This integration will make inspection of large, complex structures significantly more efficient, while reducing the time required by inspectors to identify and classify defects.
"Skydio's computer vision navigation and autonomous data capture capabilities, combined with the Qii system's automatic corrosion, crack, and defect detection algorithms, are a leap forward in remote digital inspection possibilities."
Qii.AI CEO, Michael H. Cohen
Earlier this year, Qii.AI and Skydio demonstrated the power of this integration, enabling the automatic detection and quantification of corrosion on naval ship hulls for the Canadian Department of National Defense in Halifax, Canada. During the day-long demonstration, Skydio's drones captured data from two naval ships, using Skydio 3D Scan to capture the data used to create digital twins of both ships before seamlessly importing the models and data through the Skydio Cloud API into the Qii system for auto-detection, classification, and quantification of visible corrosion.
Commenting further on the agreement, Qii.AI's Cohen, said "Skydio is the clear leader in the small inspection drone market and a natural fit for Qii.AI's computer vision technology. We're proud and excited to be collaborating with such a great team and thrilled with the success of our joint-demonstration with the Canadian Department of National Defense."
To learn more about Qii.AI's corrosion detection capability and to see the results of the Qii.AI integration with Skydio 3D Scan in person, visit booth #823 at Commercial UAV Expo on September 6-8, 2022 at Caesars Forum, Las Vegas, or for more information, visit Qii.AI online at www.qii.ai.
Qii.AI is a web-based platform that empowers remote, collaborative inspections of critical infrastructure assets such as bridges, dams, and wind turbines. Qii.AI uses computer vision and machine learning to improve the inspection process with computer-assisted detection and quantification of corrosion, cracking, delamination, and other problems in steel and concrete structures. Qii.AI is the world's first visualization software for infrastructure inspection data that merges below the waterline (sonar) data with above-the-waterline (visual, thermal, lidar) data, to provide a single, wholistic view of your asset.
Skydio is the leading U.S. drone manufacturer and world leader in autonomous flight. Skydio leverages breakthrough AI to create the world's most intelligent flying machines for use by consumer, enterprise, and government customers. Founded in 2014, Skydio is made up of leading experts in AI, robotics, cameras, and electric vehicles from top companies, research labs, and universities from around the world. Skydio designs, assembles, and supports its products in the U.S. from its headquarters in Redwood City, CA, to offer the highest standards of supply chain and manufacturing security. Skydio is trusted by leading enterprises across a wide range of industry sectors and is backed by top investors and strategic partners including Andreessen Horowitz, Levitate Capital, Next47, IVP, Playground, and NVIDIA.
HYPER-CONVERGED INFRASTRUCTURE,APPLICATION INFRASTRUCTURE
Nexar | September 14, 2022
Nexar, the leading computer vision AI company, released a video demonstrating the first ever AI-powered parking space-finder app. Demonstrated with Oracle & KDDIs' mobile and edge infrastructure, the app reviews dash cam footage to detect on-street free curb space in Tokyo's busy streets using edge compute environments. Nexar, KDDI and Oracle are part of the Automotive Edge Computing Consortium (AECC), which works to create the computing and connectivity infrastructure for connected cars of the future.
Nexar's app can dynamically and safely scale the sharing of transient conditions in near real-time. This demonstration comes on the heels of a similar real-time on-street parking app pilot in New York City, where thousands of Nexar's popular dash cams were driven around the city, capturing 220 million miles of driving each month and spotting empty parking spaces in real-time. Locations and photos are shared instantly to Nexar's app, so that a circling driver can quickly grab the empty space.
Using the power of AI and the distributed edge architecture, Nexar solves the issue of latency, and compute and connectivity costs by consolidating and verifying multiple vehicles at the network edge. Nexar's goal is to solve the geolocation class of problems: HDMap fresh change collection, intelligent driving hazards, provide blockages and convenience alerts, and create traffic scheduling cruise assist, using edge compute environment and resources. This way, Nexar can spot and map empty parking spaces "seen" by these dash cams as they drive through the city, sharing them through push notifications to other drivers to the free parking spot.
Tokyo's AECC pilot is a breakthrough in proving the viability of such applications for the future of 5G networks, using in-car camera SDKs to compute the Uber H3 spatial index, which is used to distribute data across multiple edge clouds including Oracle Cloud Infrastructure (OCI). The pilot also uses AECC aggregation and consolidation on the network edge. This PoC proves the feasibility of cost-effective scale and elasticity of automotive edge services that will drive different use cases leveraging the powerful 5G and edge compute industry trends. In addition, Toyota, DENSO, NTT, Ericsson and Intel are charter AECC members.
The parking-finder app used the AECC's distributed edge architecture, deployed on KDDI and OCI, and using the standards that Nexar, Cisco and UPC have been developing in the Internet Engineering Task Force (IETF). Running on OCI, the app relies on fast, flexible, and affordable compute capacity through OCI Compute and Oracle Container Engine for Kubernetes to run live data points for the AI algorithm.
"We are honored to be a part of this state of the art PoC demonstration with Nexar and Oracle in order to envision very advanced business use cases and their technical solutions developed by AECC. "Such business use cases and edge/cloud computing technologies in the mobility domain are one of the most significant KDDI's strategies over 5G mobile networks. For that purpose, we are actively working for AECC as a member company as well as a chair of the PoC committee, and making every effort to contribute to a smart society in near future."
Dr. Tomohiro Otani, General Manager of KDDI Corporation
"Smart mobility services allow drivers to find available street parking efficiently and fast," said Toshimitsu Misawa, member of the board, CEO and president of Oracle Corporation Japan. "These services collect a very large amount of data which need to be processed near real-time. Oracle Cloud Infrastructure is designed to run nearly all applications more securely with enhanced data processing capabilities to increase speed and accuracy. We are glad to collaborate with Nexar and KDDI to continue to make advances in automotive edge services.
"In the near future, all vehicles will come equipped with dash cams, but the issue of how to upload the collected data without crashing the infrastructure will remain," said Bruno Fernandez Ruiz, CTO and co-founder of Nexar. "Partnering with AECC, KDDI and Oracle, we've discovered how to share this data scalably and economically in order to produce a collective value, enabling new applications such as parking detection. To deliver on the vision of real-time parking data, automakers will need to learn how to share data rather than assume that a siloed approach can succeed. With the AECC, KDDI and Oracle, we have accomplished just that."
Nexar turns cars into vision-sensors to understand the world. Its platform powers car vision connected services and apps, at scale, making new vision-based applications for better driving, powered by a crowd-sourced vision feed. Using anonymous, aggregated data captured from this network, Nexar has developed a portfolio of vision-based data services for public and private sector partners to make roadways safer and more efficient. Nexar's platform is already deployed across hundreds of thousands of cars, detecting parking spots, managing city safety and more.
IDC | July 01, 2022
According to the International Data Corporation (IDC) Worldwide Quarterly Enterprise Infrastructure Tracker: Buyer and Cloud Deployment, spending on compute and storage infrastructure products for cloud deployments, including dedicated and shared environments, increased 17.2% year over year in the first quarter of 2022 (1Q22) to $18.3 billion. This growth continues a series of strong year-over-year increases in spending on infrastructure products by both service providers and enterprises despite tight supply of some system components and disruptions in transportation networks. Investments in non-cloud infrastructure increased 9.8% year over year in 1Q22 to $14.8 billion, continuing a streak of growth for this segment into its fifth quarter.
Spending on shared cloud infrastructure reached $12.5 billion in the quarter, increasing 15.7% compared to a year ago. IDC expects to see continuously strong demand for shared cloud infrastructure with spending expected to surpass non-cloud infrastructure spending in 2022 for the first time. Spending on dedicated cloud infrastructure increased 20.5% year over year in 1Q22 to $5.9 billion. Of the total dedicated cloud infrastructure, 47.8% was deployed on customer premises.
For the full year 2022, IDC is forecasting cloud infrastructure spending to grow 22% compared to 2021 to $90.2 billion – the highest annual growth rate since 2018 – while non-cloud infrastructure is expected to grow 1.8% to $60.7 billion. The increased forecast for both segments is partially driven by inflationary pressure and expectations of higher systems prices during 2022 as well as improvements in the supply chain in the second half of the year. Shared cloud infrastructure is expected to grow by 24.3% year over year to $63.9 billion for the full year. Spending on dedicated cloud infrastructure is expected to grow 16.8% to $26.3 billion for the full year.
As part of the Tracker, IDC follows various categories of service providers and how much compute and storage infrastructure these service providers purchase, including both cloud and non-cloud infrastructure. The service provider category includes cloud service providers, digital service providers, communications service providers, and managed service providers. In 1Q22, service providers as a group spent $18.3 billion on compute and storage infrastructure, up 14.5% from 1Q21. This spending accounted for 55.3% of total compute and storage infrastructure spending. Spending by non-service providers increased 12.9% year over year, the highest growth in fourteen quarters. IDC expects compute and storage spending by service providers to reach $89.1 billion in 2022, growing 18.7% year over year.
At the regional level, year-over-year spending on cloud infrastructure in 1Q22 increased in most regions. Once again Asia/Pacific (excluding Japan and China) (APeJC) grew the most at 50.1% year over year. Japan, Middle East and Africa, China, and the United States all saw double-digit growth in spending. Western Europe grew 6.4% and growth in Canada slowed to 1.2%. Central & Eastern Europe, affected by the war between Russia and Ukraine, declined 10.3%, while Latin America declined 11.3%. For 2022, cloud infrastructure spending for most regions is expected to grow, with four regions, APeJC, China, the U.S., and Western Europe, expecting to post annual growth in the 20-25% range. Impact of the war will continue to hurt spending in Central and Eastern Europe, which is now expected to decline 54.6% in 2022.
Long term, IDC expects spending on compute and storage cloud infrastructure to have a compound annual growth rate (CAGR) of 14.5% over the 2021-2026 forecast period, reaching $145.2 billion in 2026 and accounting for 69.7% of total compute and storage infrastructure spend. Shared cloud infrastructure will account for 72.6% of the total cloud amount, growing at a 15.4% CAGR. Spending on dedicated cloud infrastructure will grow at a CAGR of 12.1%. Spending on non-cloud infrastructure will grow at 1.2% CAGR, reaching $63.1 billion in 2026. Spending by service providers on compute and storage infrastructure is expected to grow at a 13.4% CAGR, reaching $140.8 billion in 2026.
A graphic illustrating IDC's 2021-2026 forecast for worldwide enterprise infrastructure spending by deployment type (Shared Cloud, Dedicated Cloud, and Non-Cloud) is available by viewing this press release on IDC.com.
IDC's Worldwide Quarterly Enterprise Infrastructure Tracker: Buyer and Cloud Deployment is designed to provide clients with a better understanding of what portion of the compute and storage hardware markets are being deployed in cloud environments. The Tracker breaks out each vendors' revenue into shared and dedicated cloud environments for historical data and provides a five-year forecast. This Tracker is part of the Worldwide Quarterly Enterprise Infrastructure Tracker, which provides a holistic total addressable market view of the four key enabling infrastructure technologies for the datacenter (servers, external enterprise storage systems, and purpose-built appliances: HCI and PBBA).
IDC defines cloud services more formally through a checklist of key attributes that an offering must manifest to end users of the service.
Shared cloud services are shared among unrelated enterprises and consumers; open to a largely unrestricted universe of potential users; and designed for a market, not a single enterprise. The shared cloud market includes a variety of services designed to extend or, in some cases, replace IT infrastructure deployed in corporate datacenters; these services in total are called public cloud services. The shared cloud market also includes digital services such as media/content distribution, sharing and search, social media, and e-commerce.
Dedicated cloud services are shared within a single enterprise or an extended enterprise with restrictions on access and level of resource dedication and defined/controlled by the enterprise (and beyond the control available in public cloud offerings); can be onsite or offsite; and can be managed by a third-party or in-house staff. In dedicated cloud that is managed by in-house staff, "vendors (cloud service providers)" are equivalent to the IT departments/shared service departments within enterprises/groups. In this utilization model, where standardized services are jointly used within the enterprise/group, business departments, offices, and employees are the "service users."
About IDC Trackers
IDC Tracker products provide accurate and timely market size, vendor share, and forecasts for hundreds of technology markets from more than 100 countries around the globe. Using proprietary tools and research processes, IDC's Trackers are updated on a semiannual, quarterly, and monthly basis. Tracker results are delivered to clients in user-friendly Excel deliverables and on-line query tools.
International Data Corporation (IDC) is the premier global provider of market intelligence, advisory services, and events for the information technology, telecommunications, and consumer technology markets. With more than 1,300 analysts worldwide, IDC offers global, regional, and local expertise on technology, IT benchmarking and sourcing, and industry opportunities and trends in over 110 countries. IDC's analysis and insight helps IT professionals, business executives, and the investment community to make fact-based technology decisions and to achieve their key business objectives. Founded in 1964, IDC is a wholly owned subsidiary of International Data Group (IDG), the world's leading tech media, data, and marketing services company.