Business
Webb Risk: Introducing the Future of Risk Management Solutions (By Bassem Chermitti)
Published
2 years agoon
The benefits of the Webb Risk integrated risk management system extend beyond simplifying the day-to-day operations of the country’s ports
The Webb Risk system uses advanced machine learning and artificial intelligence technologies to provide customs authorities with the tools they need
CAIRO, Egypt, May 8, 2024/APO Group/ —
By Bassem Chermitti, Group Product Manager at Webb Fontaine (www.WebbFontaine.com).
Egypt’s busy ports on both the Mediterranean and Red Sea, as well as several tourist and petroleum ports, are gateways for thousands of goods entering and exiting the country daily. Once these goods arrive in port, they are subject to a series of regulations, inspections, and risk assessments, which could potentially cause significant delays. With volumes like these passing through the country’s ports every day, the result of delays caused by poor risk management processes could be disastrous.
The Egyptian government realized the need for a solution that would help both customs officials and port users navigate these complex procedures and ensure that goods reach their destination on time. The government engaged Webb Fontaine to implement a state-of-the-art integrated risk management system known as Webb Risk, along with MTS (Misr Technology Services), the organization that developed Egypt’s Nafeza Single Window System.
The Webb Risk system uses advanced machine learning and artificial intelligence technologies to provide customs authorities with the tools they need to anticipate, detect, and mitigate potential risks in trade operations. Port users are also subjected to far more streamlined processes in terms of ensuring that they have the correct documentation and permissions to bring their goods into the country, and that the relevant declarations are made.
A Multi-Faceted Approach to Risk Management
The Webb Risk system employs a multi-faceted approach to risk management, focusing on four key pillars: customs intelligence, compliance criteria, predictive analysis, and random inspections. These pillars work together to ensure that customs authorities can effectively assess and manage risks associated with trade operations.
- Intelligence criteria is used to develop targeting rules by analysing data to identify patterns and trends associated with high-risk activities. This analysis may involve examining information collected from various sources, both internal and external, such as intelligence from national or international partners.
- Compliance criteria plays a crucial role. With our risk profiling module, we can accurately select operators who comply with customs standards. This capability effectively manages national programs for Authorised Economic Operators (AEO). Thus, operators reaching a high level of compliance benefit from less stringent controls.
- Predictive analysis is an essential element of the decision-making process to select high-risk shipments and enhance our solution dynamically. This method relies on historical data to anticipate potential risks. Through the use of advanced machine learning algorithms and artificial intelligence, customs authorities can identify declarations with a high level of risk, optimise resource allocation, and focus on areas where the risk of non-compliance is highest.
- Random selection complements our approach by randomly selecting low-risk declarations for occasional surprise inspections. This practice contributes to deterring fraudulent activities and behavioural change.
Benefits for Egypt’s Trade Operations
Since its implementation, Webb Risk has already resulted in significant benefits for trade operations in Egypt.
Firstly, when it comes to improved accuracy and efficiency of risk management, the benefits have been obvious. For instance, by empowering customs officials with the tools to more effectively identify and mitigate potential risks, the fraud detection rate for the year-long period between March 2023 and the end of February 2024 is sitting at around 22%..
Secondly, the implementation of Webb Risk at Egypt’s ports has also led to reduced customs clearance times, especially for operators who have been compliant in terms of following the correct procedures and guidelines. These quicker turnaround times have helped to minimize the time it takes to get goods to market, saving money for both operators and customs authorities.
Another remarkable benefit has been the increased customs revenue that Egypt has experienced. By identifying undervalued or fraudulent goods, Webb Risk has allowed for a more accurate application of customs duties and taxes, in turn contributing to the country’s customs revenue.
Positioning Egypt as an Attractive Trade Destination
The benefits of the Webb Risk integrated risk management system extend beyond simplifying the day-to-day operations of the country’s ports. The ripple effects are felt across the entire country. When goods move through ports of entry in a swift and streamlined manner, the economy benefits from increased trade and economic growth, improved competitiveness, job and revenue creation, and infrastructure development. In turn, all of this helps to position Egypt as a more attractive destination for trade and investment, and enhance the country’s reputation as a reliable trading partner, further bolstering its standing in the global market.
From Egypt to the World
Many countries around the world are experiencing similar issues with customs-related services, and Webb Risk’s Egypt success story stands out as an example of how technology can be used to improve efficiency, increase revenue, and strengthen border security, along with many other economic and social benefits.
The demonstrated effectiveness of advanced risk management technologies such as Webb Risk has set a precedent for innovation in trade facilitation in ports all over the world, and those looking to enhance their own customs operations can look to Egypt as an example.
Distributed by APO Group on behalf of Webb Fontaine.
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Emirates and the Kenya Tourism Board sign partnership agreement to drive inbound tourism
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1 day agoon
September 18, 2026
Reinforcing the airline’s longstanding commitment in market, the partnership agreement supports Kenya’s ambition to be the most visited tourism destination in Africa by promoting the destination in key regions on the airline’s vast global network
The partnership agreement was signed by Adil Al Ghaith, Emirates’ Senior Vice President of Commercial Operations, Centre, and June Chepkemei, Chief Executive Officer of the Kenya Tourism Board, in the presence of Ambassador. (Professor.) Julius K. Bitok, CBS. Principal Secretary, State Department for Tourism, and Adnan Kazim, Deputy President and Chief Commercial Officer, Rashid Alardha, Vice President of Commercial Operations for Sub-Saharan Africa, Emirates and Christophe Leloup, Emirates’ Country Manager in Kenya, along with other senior officials.
Adil Al Ghaith said, “Kenya has been an important market for Emirates for over three decades, and our commitment goes much deeper than operations and connections. We’ve consistently invested in our presence in the market, working closely with travel trade partners and tourism stakeholders to stimulate inbound travel, and contribute positively to the global perception of Kenya. Nairobi remains one of the top 5 busiest gateways for Emirates in Africa, with significant traffic coming from UK and Europe, as well as the US. This partnership solidifies that longstanding commitment, enhancing our collaboration with the Kenya Tourism Board and the full, thriving tourism ecosystem across Nairobi and Kenya.”
We are delighted to partner with Emirates to strengthen Kenya’s global tourism profile and showcase the remarkable experiences our destination offers to travellers around the world
June Chepkemei said, “We are delighted to partner with Emirates to strengthen Kenya’s global tourism profile and showcase the remarkable experiences our destination offers to travellers around the world. Emirates’ extensive international network and strong reach in both established and emerging markets will help us build on the growing demand for Kenya and unlock new opportunities to attract more visitors. This collaboration reflects our shared commitment to promoting Kenya as a leading, diverse and unforgettable destination, while supporting the continued growth of inbound tourism and the many communities that benefit from it.”
Tourism is a key pillar in Kenya’s economy, creating thousands of employment opportunities and serving millions of tourists who visit the country each year. The Kenya Tourism Board has bold plans to establish Kenya as the most visited tourism destination in Africa, with a year-round calendar of diverse, sustainable and authentic experiences that appeal to a swathe of international visitors.
Under the framework of the partnership agreement, Emirates and KTB will explore joint initiatives to promote Kenya in key markets on the airline’s global network, showcasing the breadth of Kenya’s year-round tourism offering, and encourage more travellers to visit. The partners will also closely collaborate to develop programmes for trade partners and tour operators that educate and excite the industry, such as incentives, familiarisation trips and other marketing initiatives.
Last year, Emirates marked 30 years of operations to Nairobi and, during that tenure, has established deep-rooted ties with local communities and the travel trade ecosystem. Earlier this month, the airline’s tour operating arm, Emirates Holidays, signed a Memorandum of Understanding with the Kenya Association of Travel Agents to stimulate outbound travel by equipping over 300 travel agencies with enhanced product and network insight and competitive promotional opportunities.
Distributed by APO Group on behalf of The Emirates Group.
Business
Afreximbank and Development Bank of Southern Africa establish a Joint Project Preparation Facility to advance bankable projects in Southern Africa
Published
2 days agoon
September 18, 2026
Through the JPPF, the institutions will jointly originate, screen and prioritise projects and support the technical, financial and legal work required to address bankability constraints
The agreement is one of the first operational instruments to follow South Africa’s accession to the Afreximbank Establishment Agreement in February 2026. South Africa became Afreximbank’s 54th member state in February 2026, when the Bank also announced a US$ 8 billion Country Programme for the country. The agreement complements the Master Risk Participation Agreement signed by Afreximbank and DBSA in February 2026, extending the partnership upstream into project preparation. It also supports the objectives of South Africa’s National Development Plan 2030, SADC integration and implementation of the African Continental Free Trade Area (AfCFTA).
Mrs Kanayo Awani, Executive Vice President, Intra-African Trade and Export Development, signed on behalf of Afreximbank, while Mr. Greg Fyfe, Chief Investment Officer, DBSA, signed on behalf of his institution.
Through the JPPF, the institutions will jointly originate, screen and prioritise projects and support the technical, financial and legal work required to address bankability constraints. Priority sectors include power and energy, with particular attention to energy transition; transport and logistics; information and communication technology; strategic minerals beneficiation; and other mutually agreed sectors aligned with national, regional and continental development priorities. The framework will focus initially on South Africa and the wider Southern African region, with scope to consider other African jurisdictions of mutual interest.
Through this partnership with Afreximbank, we are leveraging our complementary strengths to improve project preparation
Through the JPPF, Afreximbank and DBSA will collaborate to advance high-impact projects from concept stage to bankability. The focus will be on trade-enabling infrastructure, industrial development, and export-oriented initiatives across South Africa and the Southern African region, with potential extension to other African jurisdictions of mutual strategic interest.
Commenting on the agreement, Mrs. Kanayo Awani, Executive Vice President, Intra-African Trade and Export Development at Afreximbank said:
“Africa’s infrastructure challenge is not only about shortage of capital; it is also about shortage of projects prepared to the standard required by investors and lenders. This JPPF addresses this critical constraint. By combining Afreximbank’s trade and industrialisation mandate with DBSA’s infrastructure-development expertise, we will help move priority projects from concept to investment readiness and mobilise the larger pools of public, private and blended finance required for implementation. For South Africa and the wider Southern Africa region, this is how project preparation becomes a practical instrument for industrialisation, export growth and regional integration under the AfCFTA.”
Gregory Fyfe, Chief Investment Officer at DBSA, said:
“The Joint Project Preparation Facility represents a significant step towards strengthening the pipeline of bankable infrastructure and industrial projects across South Africa and the Southern African region. Through this partnership with Afreximbank, we are leveraging our complementary strengths to improve project preparation. This will unlock investment opportunities and accelerate the delivery of infrastructure that supports economic growth, industrialisation and regional integration. This initiative reflects DBSA’s commitment to infrastructure-led development and to enabling sustainable, long-term impact through well-prepared projects that attract both public and private sector investment.”
Projects developed through the JPPF may seek downstream funding from Afreximbank, DBSA. They may also be presented to private investors, development finance institutions and commercial lenders, subject in every case to separate appraisal and approval. Both institutions will actively collaborate on origination, preparation, knowledge-sharing, and portfolio monitoring to accelerate project bankability and execution.
Distributed by APO Group on behalf of Afreximbank.
Events
Advancing the Agentic World, Building a Solid Silicon Foundation
Published
2 days agoon
September 18, 2026
Key takeaways:
- Strategic focus: The rapid approach of an intelligent world is driving up demand for computing power. Huawei is focused on developing AI infrastructure, and is actively driving innovation in systems and architecture centered around SuperPoDs and SuperClusters. These efforts are aimed at building a solid silicon foundation for the intelligent world.
- Technological breakthroughs: Huawei unveiled the Atlas 960E SuperPoD, the first in the industry to use NPO. The company also launched an upgraded TaiShan 950 SuperPoD, as well as the OceanStor M900 (a memory context storage system). Interconnected with UnifiedBus, Huawei’s agentic SuperCluster can scale up to one million NPUs.
- Open ecosystems: Huawei is actively building out open computing ecosystems. To date, the Kunpeng ecosystem has attracted 4.16 million developers from around the world. CANN has moved to sustained, community-driven open-source development. Ascend now spans over 90 leading third-party open-source projects and is officially supported as a PyTorch accelerator backend.
SHANGHAI, CHINA – Media OutReach Newswire – 17 September 2026 – HUAWEI CONNECT 2026 kicked off today in Shanghai. The first keynote of the date was by David Wang, the Deputy Chairman of the Board and Rotating Chairman at Huawei. In his speech (Advancing the Agentic World, Building a Solid Silicon Foundation), Wang highlighted the work the company is doing alongside industry stakeholders to build powerful AI infrastructure, lay a solid computing foundation, and address the challenges and opportunities in the intelligent world to come.
AI is sweeping the world faster than any previous technological revolution. Today, foundation model parameters are rapidly approaching 10 trillion, and are projected to exceed 100 trillion by 2030. AI agents can now work on the same task continuously, for hours on end. By 2030, they will be able to handle tasks that span months.
In China alone, the average number of inference tokens consumed every day has surged to around 500 trillion, and is expected to reach quintillions (1018) by 2030.
On-device AI is also advancing rapidly. On-device models for smartphones have expanded from three billion parameters in 2024 to 30 billion today, and will push toward hundreds of billions in the near future.
These trends will set a much higher bar for the scale, performance, and reliability of underlying technical systems. Only by building powerful AI infrastructure can the industry lay a solid foundation for the future intelligent world.
An intelligent world is approaching – and faster than ever. To lead the charge into this new world, Huawei is laser-focused on building out AI infrastructure – the silicon foundation for the future to come.
In particular, Huawei’s AI strategy is centered on computing power, with a focus on monetizing hardware. The company is also sharpening its competitive edge through systems and architectural innovation. Centering these efforts on SuperPoDs and SuperClusters, the company aims to build a solid computing foundation and offer a new option for the world.
Huawei is a major contributor to open computing ecosystems, and will continue to support native training for mainstream foundation models on its systems, as well as supporting a vast range of models and applications.
For customers, Huawei provides flexible on-premises and cloud compute solutions for its customers to accelerate intelligent transformation across industries.
With diverse forms of compute, including solutions for micro-, low-tier, mid-range, and massive computing power – Huawei is driving the expansion of on-device and in-vehicle AI, making intelligence truly ubiquitous.
Additionally, Huawei is dedicated to building next-generation communications networks to bring readily available compute and intelligence to every person, home, and organization.
SuperPoDs gain broad consensus, with adoption growing in industries, academia, and research institutes
To date, over 1,000 Atlas 900 A3 SuperPoDs have been deployed, and Atlas 950 SuperPoD is seeing large-scale commercial use. While adoption continues to grow, SuperPoDs have gained broad acceptance across industry, academia, and research institutions as a key direction for AI infrastructure. Currently, a SuperPoD is explicitly defined as a computing system in which multiple computing nodes are tightly coupled through high-speed interconnect protocols, featuring unified memory addressing across physical nodes — functioning like a single logical computer.
SuperPoDs are the go-to choice for AI infrastructure buildout. Right now, 100k-NPU computing clusters have become the baseline for training SOTA models. However, traditional server architectures result in intra-cluster communications that account for over 40% of total training time, severely constraining Model FLOPs Utilization (MFU). Simulation results from Huawei’s Markov Lab show that a 100k-NPU cluster built with 4k-NPU SuperPoDs can deliver a 2.75x increase in MFU compared to a 100k-NPU cluster composed of 8-NPU servers.
11-chip UnifiedBus-powered portfolio for SuperPoDs and SuperClusters; the Atlas 960E SuperPoD –the industry’s first to use NPO
The Ascend series of chips is the most critical component in Huawei’s 11-chip UnifiedBus-powered portfolio for SuperPoDs and SuperClusters. Development on Ascend 960 has exceeded the company’s expectations, with performance doubling as planned. Ascend 960DT will be available in Q1 2027, three quarters ahead of the company’s original roadmap. And the Ascend 960PR will be ready in Q3 2027, one quarter ahead of schedule.
“We’re evolving our Ascend chip series on a one-generation-a-year cycle,” said Wang in his keynote. “In 2028 and 2029, we will roll out the Ascend 970 and 980 chips, respectively. Thanks to the Tau (τ) Scaling Law, not only will their compute specifications continue to double, but you can also expect to see huge improvements across the board in terms of memory bandwidth, memory capacity, interconnect bandwidth, and more.”
In addition to Ascend chips, Huawei has also developed a complete portfolio of chips for AI infrastructure, based on UnifiedBus, delivering key capabilities that cover computing, interconnect, storage, and management.
“SuperPoDs are designed to coordinate multiple NPUs through interconnect,” continued Wang. “We have developed a next-generation optical interconnect product based on near-packaged optics (NPO): the High-density Optical-interconnect-Node Engine (Hi-ONE).” Built on Huawei’s proprietary technologies, Hi-ONE has a multi-physics design for balancing optical, mechanical, electrical, electromagnetic, and thermal performance, realizing a transmission capacity of 7.2 Tbit/s per single engine.
“This is the industry’s first NPO product ready for mass production, delivering the largest transmission capacity. It is also the industry’s first NPO product with a built-in light source.”
This product combines high bandwidth and high reliability with low latency and low power consumption. This, coupled with UnifiedBus, will make it far easier to scale up SuperPoD interconnect systems.
Recently, Huawei submitted an implementation agreement (IA) on NPO to the Optical Internetworking Forum (OIF), a standards organization. The response from numerous industry partners has been widely positive. Huawei will continue its efforts to further refine the NPO industry ecosystem.
Using Ascend 960 chips and Hi-ONE, Huawei has developed the industry’s first NPO-based SuperPoDs: the Atlas 960E SuperPoDs. A single Atlas 960E SuperPoD can scale up to 4,096 NPUs, delivering 8 EFLOPS of FP8 compute performance, with up to 1 petabyte of HBM capacity. With 5,500 Hi-ONE units, this SuperPoD doesn’t need the 48,000 800G optical modules that would traditionally be required to connect all the NPUs. This cuts power consumption by over 550 kilowatts, while doubling the system’s fault-free operating time, achieving 99.8% system availability.
Combining the upgraded TaiShan 950 SuperPoD and context memory storage to power an ultrascale cluster with 1 million NPUs
As SOTA models scale to 10 trillion parameters, training and inference can no longer rely on a single AI server or AI SuperPoD – they require a more complex computing system. This system includes AI SuperPoDs, general-purpose SuperPoDs, and an interconnect system that features peer-to-peer interconnect and zero protocol conversion. For inference, including a petabyte-scale KV cache cluster is also a must.
To meet these demands, Huawei has fully upgraded its TaiShan 950 SuperPoD. Powered by UnifiedBus all-optical networking, this new SuperPoD supports up to 4,096 nodes with a unified memory pool of up to 256 TB. This setup significantly improves agent performance. For sandbox-intensive workloads, startup speeds for 100,000 sandboxes are 30 times faster than traditional servers, and sandbox density can be improved by an additional 25%. For vector search across 10 billion x 1,000-dimensional vectors, this SuperPoD delivers twice the search efficiency of traditional servers.
Huawei has also launched OceanStor M900 – a UnifiedBus-powered context memory storage cluster that delivers multi-tier KV caching for agent-heavy and longer-context workloads. Designed for agentic inference, this cluster supports one-hop direct access and provides a petabyte-scale KV cache for the L3.5 layer. OceanStor M900 also uses hybrid media and an optimized retention algorithm, extending SSD read/write lifespan by 16-fold. This ensures a higher KV cache hit rate alongside long-term stability and reliability from the ground up.
Combining its strengths in computing and communications, Huawei has built a brand-new agentic SuperCluster to accelerate training and inference for 10-trillion-parameter models. This SuperCluster uses UnifiedBus to consolidate multiple interconnect protocols into a single unified protocol, significantly reducing protocol conversion overhead. This delivers peer-to-peer interconnect between subsystems like Ascend SuperPoDs, Kunpeng SuperPoDs, and KV cache clusters. The SuperCluster also comes with a multi-tier, high-bandwidth, and large-capacity storage system that enables direct single-hop access for all KV cache tiers.
With a two-tier, four-plane Clos architecture, the SuperCluster can interconnect up to 512,000 NPUs. When combined with a multi-rail topology, this cluster can support up to one million NPUs.
One of Huawei’s core strategies: Going open source and open system to build out computing ecosystems
The Kunpeng ecosystem is driving digital and intelligent innovation across a wide range of industries. To date, the Kunpeng ecosystem has attracted over 4.16 million developers and more than 7,200 ecosystem partners from around the globe. The community currently supports over 560 open-source projects worldwide. openEuler has seen more than 20 million installations, securing the largest share in China’s server OS market.
The Ascend ecosystem has reached a new inflection point. The Compute Architecture for Neural Networks (CANN) is the foundation of the Ascend ecosystem. Today, CANN has moved to sustained, community-driven open-source development, which has brought the platform from usable to user-friendly.
External CANN developers now comprise 61% of all CANN developers, outnumbering internal developers for the first time. With over 5,200 monthly active developers, the CANN community has become the most vibrant open-source community in China. What’s more, over 40 models have been natively pre-trained on Ascend and CANN, making it the only proven domestic stack capable of model pre-training.
Ascend now supports over 90 leading third-party open-source projects, including PyTorch, Triton, vLLM, and veRL. With strong support from the Linux Foundation, Ascend is the first official Chinese compute platform on PyTorch’s website. This gives developers around the world ready access to new innovations in the Ascend ecosystem.
Diverse forms of compute for ubiquitous on-device and in-vehicle AI
AI is expanding faster into all kinds of devices. To deliver an unparalleled AI experience across all scenarios, Huawei will continue to strengthen capabilities in four key areas:
First, Huawei will combine Kirin and Ascend chips to drive self-reliance and autonomy in on-device compute.
Second, Huawei will bring together Pangu models and third-party models to make on-device intelligence better and easier to use.
Third, HarmonyOS, as an Agent OS for ubiquitous intelligence, will be completely redefined from the ground up – spanning system architecture, how it operates, and interaction logic – to enable human-agent collaboration.
Fourth, Huawei will keep cultivating a diverse AI ecosystem, which is the foundation for its system agent Celia to thrive.
Huawei plans to build four on-device computing platforms: for AI phones, AI PCs, vehicles, and homes. Through cross-device and device-cloud compute synergy, Huawei will be able to provide distributed swarm intelligence, delivering integrated and continuous intelligent services across personal mobile, office, vehicle, and home spaces, ultimately bringing intelligence to every person and every space.
Building next-generation communications that prioritize readily available compute, because without networks, all compute is siloed
Next-generation communications networks are crucial for fully unleashing the value of AI compute. We are driving the upgrade to networks that, in addition to connecting people, will prioritize delivering readily available compute. These networks will be underpinned by 5G-A/6G, 10-gigabit optical networks, and multi-tier, low-latency bearer networks, delivering intelligent connectivity across data centers, the edge, and devices.
Concluding his keynote, Wang expressed that AI “may well be the final technological revolution in human history,” noting that its impact is deeper and broader, and coming faster than anyone could have ever imagined. “No single company,” he said, “can build an intelligent world alone.”
He stressed Huawei’s ongoing commitments moving forward:
Huawei will remain committed to building a solid silicon foundation to make computing power readily accessible to all.
The company will continue to open source its software, helping developers unleash their full potential.
It will continue to embrace a wide range of models and applications, unlocking value in every form.
“And we will continue to work together to drive shared success, growing together with our customers and partners around the world,” Wang concluded. “Let’s work together to build a fully connected, intelligent world.”
Themed Advancing the Agentic World, HUAWEI CONNECT 2026 will delve into AI across three dimensions: strategy, technology, and ecosystems. You can expect an in-depth look at our latest strategic initiatives, and we’ll also be unveiling our all-new digital and intelligent infrastructure products, scenario-specific solutions for industries, and development tools. The event will run from September 17 to 19 at the Shanghai World Expo Exhibition & Convention Center and Shanghai Expo Center. For more information, please visit HUAWEI CONNECT 2026 online at www.huawei.com/en/events/huaweiconnect
FAQs:
Q1: What is a SuperPoD, and why is it becoming increasingly important?
A SuperPoD is a computing system in which multiple computing nodes are tightly coupled through high-speed interconnect, enabling them to share unified memory and function like a single computer. As foundation model training and inference continue to scale up, SuperPoDs can reduce communications overhead in large-scale clusters and improve Model FLOPs Utilization (MFU). They have gained broad consensus across industry, academia, and research institutes in AI infrastructure, and are the go-to choice for AI infrastructure buildout.
Q2: What makes the Atlas 960E SuperPoDs special?
The Atlas 960E SuperPoD is the industry’s first NPO-based SuperPoD. A single Atlas 960E SuperPoD can scale up to 4,096 NPUs, delivering 8 EFLOPS of FP8 compute performance, with up to 1 petabyte of HBM capacity. With 5,500 Hi-ONE units, this SuperPoD doesn’t need the 48,000 800G optical modules that would traditionally be required to connect all the NPUs. This cuts power consumption by over 550 kilowatts, while doubling the system’s fault-free operating time, achieving 99.8% system availability. Atlas 960E SuperPoDs can provide efficient and reliable computing power for large-scale AI training and inference.
Q3: What is NPO, and what role does Hi-ONE play in a SuperPoD?
NPO stands for Near-Packaged Optics, an optical interconnect technology designed for high-speed connectivity. Hi-ONE, developed by Huawei, is the industry’s first NPO product ready for mass production. It delivers the largest transmission capacity at 7.2 Tbit/s and is currently the industry’s only NPO product with a built-in light source. Hi-ONE, coupled with UnifiedBus, will make it far easier to scale up SuperPoD interconnect systems.
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