announced that its Global Data Platform can now be used to process, store and orchestrate data in edge compute environments. This innovative solution combines Gryf, co-designed by SourceCode and GigaIO, the first ever suitcase-sized AI supercomputer, with Hammerspace’s Global Data Platform to bring unprecedented levels of shared AI processing power to any location, including those operating with limited or no networking infrastructure.

This solution is highly relevant for use cases such as capturing large map sets and other types of geospatial data in tactical edge environments for satellite ground stations and for natural disaster response, and it is an effective way to transport large amounts of data quickly.

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Prior to this solution, organizations would either have to send data to a data center for processing and analysis, or their edge environments would be limited by the compute resources and storage capacity that non-GPU edge computing devices with limited scalability could provide. This approach limited the ability to produce relevant results onsite and was greatly inhibited without a data orchestration solution to move data to GPUs in the data center.

“Our customers and partners consistently tell us that data orchestration is a top priority for their AI workloads,” said Tony Asaro, Chief Strategy and Business Development Officer for Hammerspace.

Tony added, “Our ability to orchestrate data across remote data centers, clouds and edge environments transparently and online ensures that the data gets to GPU resources regardless of its physical location. Data orchestration will be the next hot topic in the coming year and beyond, especially in AI use cases.”

Gryf Brings GPU Processing Power to Edge Environments

Gryf is a portable supercomputer in a ruggedized suitcase form factor for rapid AI processing of time-sensitive data in the field, also referred to as a mobile fly-away kit. SourceCode and GigaIO announced Gryf earlier this quarter, and it will be available in the third quarter of this year.

Hammerspace Enables High-Speed Processing and Orchestration of Data Across Distributed Environments

Hammerspace can run on a single Gryf appliance alongside other software packages like Cyber, geospatial, and Kubernetes containerized applications, and other AI analytic packages. Hammerspace’s standards-based parallel file system architecture combines extreme parallel processing speed with the simplicity of NFS, making it ideal for ingesting and processing the large amounts of unstructured data generated by sensors, drones, satellites, cameras and other devices at the edge.

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Hammerspace data orchestration also simplifies the movement and migration of data when Gryf appliances are transported back to data centers for additional data analysis and long-term protection.

“GPUs are data hungry, posing a significant challenge when you must enable onsite insight across multiple devices in a decentralized way, and with possibly inconsistent connectivity,” said Matt Ritter, Vice President of Engineering at SourceCode. “Hammerspace helps solve this problem with efficient orchestration of distributed data and supercomputer-class data speeds. This also makes Gryf a great example of the SourceCode co-design model: seamlessly integrating best-of-breed technologies to solve hard problems for customers.”

“We are excited to announce the integration of Hammerspace’s file system with Gryf, marking a significant leap forward in our mission to drive edge AI capabilities,” said Alan Benjamin, CEO of GigaIO.

Alan added, “This partnership not only enhances Gryf’s capabilities by leveraging Hammerspace’s Global Data Platform but also sets a new standard for data accessibility and orchestration from the edge.”

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The National Institute of Advanced Industrial Science and Technology (AIST) announced the development of large-scale quantum computers to be accelerated by the proposed supercomputing circuit.

In support of the development of large-scale superconducting quantum computers, researchers with the National Institute of Advanced Industrial Science and Technology (AIST), one of the largest public research organizations in Japan, in collaboration with Yokohama National University, Tohoku University, and NEC Corporation, proposed and successfully demonstrated a superconducting circuit that can control many qubits at low temperature.

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To realize a practical quantum computer, it is necessary to control the state of a huge number of qubits (as many as one million) operating at low temperature. In conventional quantum computers, microwave signals for controlling qubits are generated at room temperature and are individually transmitted to qubits at low temperature via different cables. This results in numerous cables between room and low temperature and limits the number of controllable qubits to approximately 1,000.In this study, a superconducting circuit that can control multiple qubits via a single cable using microwave multiplexing was successfully demonstrated in proof-of-concept experiments at 4.2 K in liquid helium. This circuit has the potential of increasing the density of microwave signals per cable by approximately 1,000 times, thereby increasing the number of controllable qubits significantly and contributing to the development of large-scale quantum computers. The above results will be published in “npj Quantum Information” on June 3 at 10 a.m. London time.

NEC Corporation has established itself as a leader in the integration of IT and network technologies while promoting the brand statement of “Orchestrating a brighter world.” NEC enables businesses and communities to adapt to rapid changes taking place in both society and the market as it provides for the social values of safety, security, fairness and efficiency to promote a more sustainable world where everyone has the chance to reach their full potential.

Article Information
Journal: npj Quantum Information
Title: Microwave-multiplexed qubit controller using adiabatic superconductor logic
Authors: Naoki Takeuchi, Taiki Yamae, Taro Yamashita, Tsuyoshi Yamamoto, and Nobuyuki Yoshikawa
DOI: 10.1038/s41534-024-00849-2

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Dell Technologies unveiled Dell PowerStore advancements for better performance, efficiency, resiliency and multi-cloud data mobility. Dell also expanded the Dell APEX portfolio with new AIOps advancements and enhanced multi-cloud and Kubernetes storage management.

“Our PowerStore advancements and new lineup of financial and operational advantages for customers and partners pack a powerful punch and raise the bar in all-flash storage,” said Arthur Lewis, president, Infrastructure Solutions Group, Dell Technologies.

Arthur added, “And we didn’t stop there. Our focus on innovation also extends to Dell APEX, where we’re improving infrastructure and application reliability through the power of AI and automation, making it even easier to manage multi-cloud and Kubernetes storage.”

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Enhancing Storage Performance, Efficiency, Resiliency and Multi-Cloud Capabilities

Dell PowerStore helps manage increasing workload demands with the industry’s most flexible quad-level cell (QLC) storage and significant performance enhancements.

• QLC-based storage: Delivers enterprise-class performance at a lower cost per terabyte when compared to triple-level cell (TLC) models. Customers can start with as few as 11 QLC drives and scale up to 5.9 petabytes of effective capacity per appliance. PowerStore’s intelligent load balancing capabilities help save costs and improve workload placement across mixed TLC and QLC clusters.
• Increased performance: Improves hardware performance up to 66% through new data-in-place higher model appliance upgrades.

Dell PowerStore software advancements improve efficiency, security and cloud mobility:

• Software-driven performance boost: Non-disruptive software updates available at no additional cost to existing customers deliver up to a 30% higher mixed workload performance boost and up to 20% lower latency.
• Improved data protection: More choices for customers safeguarding critical workloads with native synchronous replication for block and file workloads and native metro replication for Windows, Linux and VMware environments.
• Increased Efficiency: Software enhancements provide up to 20% better data reduction and up to 28% more effective terabytes per watt.
• Multi-cloud data mobility enhancements: Customers can advance multi-cloud strategies and simplify workload mobility by connecting PowerStore to Dell APEX Block Storage for Public Cloud, the world’s most scalable cloud block storage.⁸

“Dell PowerStore is helping Fulgent Genetics transform patient care in pathology, oncology, reproductive health, as well as infectious and rare diseases, by significantly accelerating data processing speed so that our physicians can deliver faster genetic insights and test results to our patients,” said Mike Lacenere, vice president, Applications, Fulgent Genetics. “PowerStore enhances our commitment to sustainability by minimizing energy use and reducing the size of our data centers while providing us considerable cost savings. With PowerStore’s new advances, we expect this trifecta of performance, efficiency, and cost savings to continue to increase which will help us improve patient care.”

These PowerStore advancements are part of PowerStore Prime, a new integrated offering that combines updated PowerStore systems with programs designed to offer customers greater storage investment protection and increase Dell partner profitability.

Offering Greater Storage Investment Protection

PowerStore Prime offers customers greater flexibility to make the most of their IT investment with:

• 5:1 data reduction guarantee: Customers can buy with confidence, save on costs and reduce energy with the industry’s best data reduction guarantee.
• Continuous modernization: Lifecycle Extension with Dell ProSupport or ProSupport Plus offers customers 24/7 access to live support, flexible technology upgrades, capacity trade-ins, and storage advisory services.
• Flexible consumption: Customers can consume PowerStore through a Dell APEX subscription, paying only for what they need monthly.

Empowering Partners to Meet Customer Demands

PowerStore Prime also makes it easier and more rewarding to sell PowerStore. Building on the Dell partner-first strategy for storage, partners can now increase PowerStore sales with competitively priced product bundles and deliver expanded use cases for joint customers. Partners can also streamline sales motions when selling PowerStore and PowerProtect offers together.

“PowerStore’s new 5:1 Data Reduction Guarantee and new QLC array are a testament of Dell’s unwavering commitment to meet customer efficiency goals while lowering the cost of advanced storage,” said John Lochausen, technical solutions architect, World Wide Technology. “Dell’s new partner incentives and guarantees bring it all together, putting us and our customers in a position to succeed with the latest advances in all-flash storage.”

Unleashing the Power of AI to Simplify and Automate It Management with Dell APEX AI

Dell Technologies continues to evolve its Dell APEX portfolio to meet customer needs across key focus areas like AI and multi-cloud. Dell APEX innovations deliver leading AIOps capabilities and improve storage and Kubernetes management.

Dell APEX AIOps Software-as-a-Service (SaaS) optimizes Dell infrastructure health and service availability with AI-driven full stack observability and incident management. It is a significant expansion of Dell’s AIOps tools that simplifies operations, improves IT agility and delivers greater control over applications and infrastructure through three integrated capabilities:

• Infrastructure Observability: Resolves infrastructure issues up to 10X faster than traditional approaches through AI-powered health, cybersecurity and sustainability insights and recommendations. Generative AI-powered Dell APEX AIOps Assistant delivers instant responses to infrastructure questions and provides detailed problem-solving recommendations.
• Application Observability: Yields up to 70% reduction in mean time to resolution of application issues through full stack application topologies and analytics for assuring application availability and performance.
• Incident Management: Optimizes digital infrastructure availability through AI-driven incident detection and resolution that reduces customer-reported multivendor and multi-cloud infrastructure issues by up to 93 percent.

Dell APEX Navigator SaaS expands to include Kubernetes storage management and additional support for Dell APEX Storage for Public Cloud offers:

• Dell APEX Navigator for Kubernetes is generally available, simplifying Kubernetes storage management on Dell PowerFlex and soon, Dell PowerScale and Dell APEX Cloud Platform for Red Hat OpenShift, by bringing advanced data services like data replication, application mobility and observability to containers.
• Dell APEX Navigator for Multi-cloud Storage adds support for Dell APEX File Storage for AWS with support planned for Dell APEX File Storage for Microsoft Azure later this year. This offer simplifies storage configuration, deployment and monitoring across a universal storage layer created by Dell on-premises and public cloud storage.

Customers can get started with Dell APEX Navigator for Multi-cloud Storage and now Dell APEX Navigator for Kubernetes through a 90-day, risk-f*********.

Availability

• Dell PowerStore software enhancements will be globally available in late May.
• Dell PowerStore QLC model and data-in-place higher-model appliance upgrades for Gen 2 customers will be globally available in July.
• Dell PowerStore multi-cloud data mobility will be globally available in the second quarter of 2024.
• Dell APEX AIOps Infrastructure Observability and Incident Management are available now. Application Observability availability is planned for October 2024.
• Dell APEX Navigator for Multi-cloud Storage support for Dell APEX File Storage for AWS is available now in the United States.
• Dell APEX Navigator for Multi-cloud Storage support for Dell APEX File Storage for Microsoft Azure will be available in the United States in the second half of 2024.
• Dell APEX Navigator for Kubernetes is available now for PowerFlex in the United States with support for Dell APEX Cloud Platform for Red Hat OpenShift, Dell PowerScale and additional geographies planned for the second half of 2024.

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 The supercomputer Fugaku, jointly developed by RIKEN and Fujitsu, has successfully retained the top spot for nine consecutive terms in multiple major high-performance computer rankings including HPCG and Graph500 BFS (Breadth-First Search), and has also taken fourth place for the TOP500 and fourth place for the HPL-MxP rankings.

The HPCG is a performance ranking for computing methods often used for real-world applications, and the Graph500 ranks systems based on graph analytic performance, an important element in data-intensive workloads. The results of the rankings were announced on May 13 at ISC High Performance 2024, which is currently being held in Hamburg, Germany.

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Japanese Researchers Release “Fugaku-LLM” Trained on the Fugaku Supercomputer

The top ranking on Graph500 was won by a collaboration involving RIKEN, Tokyo Institute of Technology, Fixstars Corporation, Nippon Telegraph and Telephone Corporation, and Fujitsu. It earned a score of 166,029 gigaTEPS this time with Fugaku’s 152,064 nodes, an improvement of 27,162 gigaTEPS in performance from the previous measurement.

The other results this time were made with Fugaku’s full complement of 158,976 nodes fit into 432 racks. On HPCG, it scored 16.00 petaflops. On the TOP500, it achieved a LINPACK score of 442.01 petaflops, and on HPL-MxP it gained a score of 2.000 exaflops.

Fugaku has been creating impressive results at the social implementation level in a wide range of fields, including life sciences, disaster prevention and mitigation, energy, manufacturing, basic science, and socioeconomic applications, since its trial use started in April 2020 and the shared use started in March 2021.

Based on the superior technology that made the supercomputer Fugaku possible, Fujitsu is developing FUJITSU-MONAKA, an Arm architecture CPU that achieves high performance, power efficiency, reliability, and ease of use. In addition, Fujitsu participated in a joint research project on the development of Fugaku-LLM, a large-scale language model trained with Fugaku.

Fugaku-LLM is a high-performance model with excellent Japanese language ability, and it is exceptionally secure and transparent because it is trained from data from the partnering organization. It is anticipated that use cases will include the next generation of innovative research and business development. Fujitsu has started offering the Fugaku-LLM through the Fujitsu Research Portal, which allows users to test Fujitsu’s advanced technologies free of charge.

Moving forward, Fujitsu will continue to further advance the technology it has cultivated through the development of the supercomputer Fugaku and contribute to promoting its use for a variety of real-world use cases and challenges.

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ThunderSoft, a world leading OS products and technologies provider, unveiled innovative smart device products and solutions at MWC2024. These cutting-edge solutions are powered by the latest intelligent IoT operating system, harnessing the power of artificial intelligence to unlock a multitude of new functions and significantly enhance the user experience of smart devices.

With a seamless integration of new IoT technology, AI, edge computing, cloud computing, and other advanced technologies at the operating system level, ThunderSoft has achieved unparalleled system optimization across various computing platforms. This enables customized system tailoring, algorithm optimization, and effortless model deployment on a wide range of smart devices, including earbuds, speakers, PCs, and AR glasses. As a result, it facilitates smooth human-device interaction based on natural language and fosters personalized interaction between devices and spaces, ushering in a whole new era of intelligent experiences for smart devices.

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Rubik AI Earbuds Solution

ThunderSoft has integrated the Rubik LLM with earbuds, allowing users to benefit from natural language understanding, multi-turn chat, and content generation capabilities. This integration enables AI-powered voice assistance, enhancing efficiency for users. The Rubik LLM, when optimized through cloud-based models, has demonstrated impressive performance in earbuds.

Rubik AI PC Solution

As Qualcomm, Intel, and AMD launching PC chips with higher computing power, the hardware foundation for AI PCs is ready. Therefore, system performance and software applications smoothness become more important battlefields for OEMs to create product differentiations. With optimized on-device model sizes, cross-platform capabilities, pre-integrated coding assistance Rubik Studio and other on-device LLM applications, the Rubik AI PC solution enables OEMs to quickly launch AI PCs with comprehensive functions and superior performance.

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Rubik AR Assistant Solution

AR glasses provide excellent hardware carriers for multimodal models, equipped with rich peripherals such as cameras, displays, microphones, and various sensors, enabling the perception and presentation of multidimensional data. ThunderSoft integrates vision model, language model, and voice model with AR glasses to create personalized intelligent AR assistant that can be applied in sales, tourism, sports, and other scenarios.

With its proven expertise in providing smart device solutions and customization services, ThunderSoft is capable of achieving deep customization on operating system, accelerating the deployment of artificial intelligence, edge computing and cloud computing technologies in a wide range of scenarios, and enabling smart device innovations.

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Remote Edge Computing Require High-Performance AI and Training Solutions to Support Advanced Workloads to Deliver Increased Productivity

Supermicro, Inc., a Total IT Solution Manufacturer for AI, Cloud, Storage, and 5G/Edge, is expanding its portfolio of AI solutions, allowing customers to leverage the power and capability of AI in edge locations, such as public spaces, retail stores, or industrial infrastructure. Using Supermicro application-optimized servers with NVIDIA GPUs makes it easier to fine-tune pre-trained models and for AI inference solutions to be deployed at the edge where the data is generated, improving response times and decision-making.

“Supermicro has the broadest portfolio of Edge AI solutions, capable of supporting pre-trained models for our customers’ edge environments,” said Charles Liang, president and CEO of Supermicro. “The Supermicro Hyper-E server, based on the dual 5th Gen Intel^® Xeon^® processors, can support up to three NVIDIA H100 Tensor Core GPUs, delivering unparalleled performance for Edge AI. With up to 8TB of memory in these servers, we are bringing data center AI processing power to edge locations. Supermicro continues to provide the industry with optimized solutions as enterprises build a competitive advantage by processing AI data at their edge locations.”

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With these server advancements, users no longer need to send data back to the cloud for processing, only to retrieve the information back to the edge, where it’s required. Customers can now use pre-trained large language models (LLMs) models, optimized for performance and available with NVIDIA AI Enterprise at their edge locations where the data is needed for accurate, real-time decision-making close to the data origination.

“Businesses across industries, including healthcare, retail, manufacturing, and auto, are increasingly looking to leverage AI at the edge,” said Kevin Connors, vice president of partner alliances at NVIDIA. “The new Supermicro NVIDIA-Certified Systems, powered by the NVIDIA AI platform, are built to deliver the highest-performing accelerated computing infrastructure, as well as NVIDIA AI Enterprise software to help run edge AI workloads.”

For example, Supermicro’s Hyper-E server, the SYS-221HE, is optimized for edge training and inferencing and supports dual socket CPUs in a short-depth, front I/O system. The system holds up to 3 double-width NVIDIA Tensor Core GPUs, including the NVIDIA H100, A10, L40S, A40, and A2 GPUs. These GPUs give the Supermicro Hyper-E sufficient computing power to process AI workloads at edge environments where data is collected, analyzed, and stored. The Supermicro SYS-221HE is available with front or rear servicing options, allowing this server to be installed in various environments. As an example of the power and flexibility of the Supermicro Hyper-E server, partners such as Eviden are creating Edge AI solutions that enhance the customer experience while shopping in traditional retail outlets.

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Supermicro’s advanced edge servers also include:

• The Supermicro SYS-621C-TNR12R (CloudDC family) is an all-in-one rackmount platform for Cloud Data Centers. This compact 2U system supports up to two double-width GPUs in a 25.5″ chassis and 4 to 12 SATA/SAS drive bays with optional full NVMe support.
• The Supermicro SYS-111E-FWTR, a high-density edge system, 1U in height and features a 5th Gen Intel Xeon processor and two PCIe 5.0 x16 FHFL slots, is ideal for a broad range of networking and edge applications.
• The compact Supermicro SYS-E403-13E delivers data center level performance to the edge in a box PC form factor featuring a 5th Gen Intel Xeon processor and up to three NVIDIA GPUs. The compact form factor allows the system to be deployed in small spaces, such as in a wall-mounted cabinet or as a portable device.
• The ultra short-depth SYS-211E-FRN2T, with a system depth of 300mm, is specifically designed to fit in space-constrained environments found at the networking edge and features up to a 5th Gen Intel Xeon processor. The SYS-211E-FRN2T is available with either AC or DC power options.
• The powerful and versatile SuperEdge system, the SYS-211SE-31D/A, is a multi-node system featuring three independent nodes, each with a 5th Gen Intel Xeon processor, three PCIe 5.0 x16 slots, and up to 2TB of DDR5 memory. This 2U system also features front I/O and a broad operating temperature range, and its short depth makes it an excellent fit for deployment outside a data center.
• The SYS-E300-13AD is a compact IoT server featuring a 13th Gen Intel Core processor and is sized at just 265×226 mm, making it the smallest system to fit an NVIDIA GPU. The server is ideal for delivering distributed AI capabilities to the edge.

“Eviden’s AI-powered retail solution, based on the Supermicro edge systems and NVIDIA technologies, completely transforms the way people navigate through and interact with spaces such as stores. This enhances the shopping experience by offering customers interactive and personalized shopping through 3D models of the stores and interactive chatbots that can communicate appropriate information. The blend of lifelike facial animations, advanced speech recognition, and 3D modeling can make virtual shopping nearly as tangible as visiting a physical store”, said Jacque Istok, CEO of StoreGenius, specializing in smart applications for the retail industry.

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At MWC, the technology industry’s largest connectivity ecosystem event (26^th – 29^th February, Barcelona, Spain), Lenovo (Booth #3N30) will unveil its latest portfolio of AI devices and infrastructure solutions to date, as well as showcase two new device concepts that challenge the traditional PC and smartphone form factors.

At CES, Lenovo launched its first AI PCs, bringing the technology into its ThinkBook, ThinkPad, Yoga, Legion, and ThinkCentre PC portfolio. With the company’s vision of “AI for All” at MWC, Lenovo will unveil several new AI PCs and edge computing solutions, bringing the technology more into the mainstream for 2024/2025. The company expects the trend of hybrid AI to fuel the demand for both AI PCs and AI smartphones and drive another industry refreshment cycle.

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Purpose-built to support AI, Lenovo’s AI PCs are designed and engineered to perform tasks such as reasoning, problem-solving, and learning. More importantly, they create a user-machine bond, bringing tailored experiences amplified by AI. With stronger computing power and larger storage, large language models (LLMs) can easily run on the device rather than in the cloud. Over time, these models adapt to the user’s preferences and habits, enhancing their assistance as time goes on, resulting in a more personalized experience while safeguarding privacy.

In addition, Lenovo plans to unveil several next-generation infrastructure solutions for telecom that help businesses harness vast bodies of data at the far edge for transformative AI applications at scale, while reducing energy consumption of cloud services. As the telecom industry evolves to connect today’s digital economy, Lenovo’s Edge AI computing solutions are forging new AI capabilities across city streets throughout Barcelona and Madrid, like using video analytics and computer vision to identify smoke and fire, improve emergency response times and support public safety.

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At its Tech World event in October 2023, Lenovo unveiled its hybrid AI for All vision and showcased how it is unleashing the power of AI to drive intelligent transformation in every aspect of people’s lives and in every industry and its commitment to investing US$1 billion investment in AI innovation.

Also, at MWC, Lenovo will show two new concept products for the first time at a public event. Motorola’s adaptive display concept, a world-first product which uses a FHD+ pOLED display that can be bent and shaped into different forms depending on users’ needs, and also another world-first proof of concept and eye-catching innovative laptop form factor that push the boundaries of engineering, design, and user experience from the Intelligent Devices Group and Lenovo Research teams.

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Intel-powered private 5G solutions in collaboration with Amazon Web Services, Cisco, NTT DATA, Ericsson and Nokia are deployed around the world.

What’s New: Private 5G networks are in high demand in 2024 as enterprises look for scalable compute solutions to power the next wave of artificial intelligence (AI) applications running at the edge and drive their digital transformation efforts. Gartner predicts that “by 2025 more than 50% of enterprise-managed data will be created and processed outside the data center or cloud.” To meet this exceptional demand, Intel has collaborated with several scale companies to give customers access to private 5G solutions and vertical market deployments around the world.

“By harnessing the breadth of the Intel product portfolio with the integration capabilities and scale of our deep ecosystem, enterprises around the world can reap the benefits of a personalized private network for their business requirements. We are seeing the rapid growth of AI and edge computing combined with the connectivity of 5G drive intelligence, cost savings and innovation across developing and mature industries.”

–Caroline Chan, Intel vice president and general manager of the Network Business Incubator Division

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Why It Matters: These deployments culminate years of investment, development, collaboration and lab trials that are now becoming mainstream and setting an example of industry excellence.

Intel, via an end-to-end hardware and software products portfolio (processors, Ethernet, FlexRAN, OpenVINO and 5G core software offerings) and industry collaborations are breaking down the barriers to allow operators to monetize their networks and enterprises to quickly design and deploy intelligent private networks across industry verticals, including manufacturing, transportation hubs, mining, utilities, healthcare, education and others.

What It Means for Customers: In the past few years, 5G has proven to be an enabler for industry transformation. As generative AI has presented new potential for enterprise workloads, businesses are working to leverage the intersection of 5G, AI and edge computing in private networks to increase connectivity, data security and efficiencies relative to their specific industry goals and initiatives. Private 5G networks give customers a quick, easy path to delivering high-bandwidth, low-latency compute in secure environments needed for the most demanding edge workloads.

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About Private 5G Deployments and Innovations: Intel technology will enable AI at the edge to drive intelligence across developing and mature industries, helping to improve business operations around the globe.

• Amazon Web Services: AWS’s continued collaboration with Intel, which started with joint experience centers in Europe and the Americas, is helping customers accelerate private network deployments across many vertical markets. The latest example includes the addition of Amdocs as a system integrator for the Integrated Private Wireless (IPW) on AWS program. Through the program, AWS customers can access end-to-end Amdocs Mobile Private Network (MPN) services, and the infrastructure, built on AWS Outposts servers, is powered by Intel Xeon processors. This solution provides end-to-end accountability across all building blocks of a mobile private network, including the RAN, core, security and applications, and services for deployment and operations. Combined, these elements empower customers to leverage mission-critical data and business insights to accelerate digital transformation. At MWC, AWS will continue the momentum and showcase more solutions across a variety of private wireless use cases.
• Aramco Digital: Aramco Digital and Intel recently announced their intent to establish Saudi Arabia’s inaugural Open RAN (radio access network) Development Center. Aramco Digital, part of the world’s largest energy company Aramco, in collaboration with Intel, is developing private 5G for the industrial sector, powered by Intel-based open RAN technology. This facility is poised to drive innovation, foster technological advancements and contribute significantly to the digital transformation landscape in Saudi Arabia.
• Cisco/NTT Data: Cisco and NTT DATA collaborated to transform RAI Amsterdam into the first smart venue in Europe. Using Intel technology, Cisco provides the private 5G core and network hardware while NTT DATA delivers the private network as a service for the venue. The solution running on Intel architecture provides high-speed, low-latency connectivity for the large number of smartphones and IoT devices, as well as for processing large amounts of data for real-time insights.
• Ericsson: In collaboration with Expeto, Intel and other members of the 5G Open Innovation Lab, the Ericsson team deployed a new private 5G network at Tacoma Tideflats surrounding the Port of Tacoma on Puget Sound in Washington State. The tightly coordinated collaboration initially supports five local enterprises and focuses on modernizing their operations, including assistance for port infrastructure, freight movement, supply chains and manufacturing operations, allowing each enterprise to utilize the benefits of 5G and help drive better business outcomes for its end users.
• Future Technologies: By embracing the ecosystem, Future Technologies utilized Intel and Nokia private 5G solutions, announcing several multimillion-dollar private 4G/5G cellular-based contracts for various Fortune 100, Fortune 500 and Fortune 1000 manufacturer clients. Utilizing Intel edge and AI solutions, the contracts support industries including connected/remote worker, autonomous robotics, asset management and industrial automation.
• Nokia: The Nokia Digital Automation Cloud (DAC) private wireless using Mission Critical Industrial Edge (MXIE), based on Intel technologies, enables private 4.9G/LTE and 5G networks for connectivity of industrial systems and workers as well as the OT real-time data processing across multiple industrial sites. This solution has several hundreds of deployments globally. A recent example is at stürmsfs ag, one of Switzerland’s leading steel and metal service centers. This deployment is in partnership with system integrator Datwyler IT Infra and uses software and support from the Swiss federal Industry Fusion Foundation (IFF), featuring Intel components with ruggedized designs suited to the tough conditions of the factory floor.
• Pegatron 5G: Pegatron 5G demonstrated the power of its private 5G solution in a deployment at one of its smart factories in Vietnam. The company worked with Viettel, Vietnam’s largest telecom company, to build Pegatron 5G’s first overseas all-5G smart factory in Hai Phong, Vietnam. Based on Intel’s broad private 5G product portfolio, the factory’s network provided broad-based connectivity for flexibility and mobility, high throughput and low latency. It provides connectivity for a large number of devices and implements zero-trust security.
• Red Hat/Minsait: Red Hat has joined with Intel and Minsait, an Indra company, to integrate and validate a complete, containerized and cloud-native private 5G solution comprising Intel FlexRAN software and Red Hat OpenShift. This solution will provide a private 5G foundation that can be trusted for performance and can be expanded or customized using third-party innovations.
• WWT/Federated Wireless: WWT and Federated Wireless are nearing the completion of a Neutral Host Network lab in the World Wide Technology ATC (Advanced Technology Center) in St. Louis, Missouri. Intel, WWT and Federated Wireless are deploying the Neutral Host networks (running on top of private cellular networks) that allows multiple participating service providers to share its services with those existing private cellular networks. The network allows for seamless connectivity between private and public service providers. With the participation of two major North American operators, Neutral Host Networks can be used in a variety of vertical industries with use cases in higher education, healthcare, manufacturing already identified, and use cases in other verticals under consideration.

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The post Intel Teams with Partners to Enable and Grow End-to-End Private Networks Market appeared first on AiThority.

South Australian artificial intelligence (AI) company AICRAFT and deep tech company GoMicro have signed a Memorandum of Understanding to utilize AICRAFT’s low-power, compact, high-performance edge computing systems for powering GoMicro’s AI assessment solutions for agriculture and other industrial in-machine applications.

AICRAFT will work with GoMicro and its designated agricultural partners to integrate edge computing solutions for a wide variety of applications for GoMicro’s customers.

The project will leverage AICRAFT’s world-class computing solutions for space and industrial applications, particularly suitable for withstanding harsh, high-temperature, high-vibration conditions found in agriculture and mining.

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The first application of the partnership will be for the real-time quality assessment of grains as they are offloaded from trucks into silos. This technology will soon enable farmers and buyers to assess the quality of the entire truck or ship more reliably – instead of relying on representative samples.

An initial prototype is scheduled to be tested by Walco Seed Cleaners based in Halbury, South Australia, by the end of the month.

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AICRAFT’s CEO Dr. Tony Scoleri commented, “We are extremely excited about this partnership with GoMicro, especially that we have already ported and successfully demonstrated GoMicro’s AI model for grain quality control working on a self-powered portable device. This type of practical AI at the edge will drive efficiency by reducing waste and enhancing productivity and sustainability.”

GoMicro’s CEO/Founder Dr. Sivam Krish said, “The fusion of AI and edge computing will de-risk the entire agricultural value chain by removing the unreliability of manual sampling and the subjectivity of manual quality assessment.”

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[To share your insights with us as part of editorial or sponsored content, please write to sghosh@martechseries.com]

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