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MWC25 Shanghai: Rising AI Tides Lifting Many Boats

Simplify Operations and Enhance End-to-End Network Performance with Hyper-Automation

对5G在线游戏和其它时延敏感应用开展基准测试的重要性

The Future of Gaming: Eliminating Lag with Edge Computing

Decoding 3GPP’s First Official 6G Workshop

拥抱故障：为何云原生网络功能（CNF）韧性是可靠5G网络的基石

Holistic Visibility, Automated Testing: VisionWorks Helps Service Providers Meet Diverse Business Challenges 

Unlocking the Value of 5G Fixed Wireless Access: The Key to Quality and Testing

MWC Barcelona 2025: Pragmatism Along 5G’s Maturing Path to Growth

Unlocking Efficiency in 5G Networks with Horizontal Pod Autoscaling  

5G Core: Key to Unlocking the Low Altitude Drone Economy

Is Your 5G Network Ready for Next-Gen Mission-Critical Communications? 

5G Halftime Update: Spirent’s 2025 5G Report

Understanding Kubernetes: A Foundation for Deploying 5G Cloud-Native Network Functions

Key Network Test Methodologies That Support 5G RedCap Success

Shifting from Vertical to Horizontal Cloud Stacks in Mobile Networks

Building Resilient 5G Networks: Embracing Failure for Greater Reliability

Open RAN Is on a Roll but Is It Ready?

How do 5G Cloud-Native Network Functions Handle Failure to Ensure Network Resilience?

Nokia Collaborates with Spirent to Test Connectivity for Over 23 Million Users

Spirent testing strategy for-financial enterprises

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Automation Strategies to Avoid Finance’s Next Major Meltdown

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我们正处于几十年来高速以太网（HSE）最令人兴奋且影响最为深远的时期之一。新的年度影响力报告分享了塑造数据中心网络和高速以太网市场的最新趋势、需求和发展。

报告：追踪转型中的AI驱动高速以太网市场

Telecom is eager to explore every aspect of AI-powered innovation and transformation. Stakeholders are seeking a competitive edge, new revenues, more efficient network operations, and reduced costs.

Status check on how AI is powering network testing and assurance. Learn about testing’s role across the AI lifecycle, and the path appearing toward AI autonomous networking. 

How AI Is Powering Network Testing and Assurance

Status Check: The Latest on How AI Is Powering Network Testing and Assurance

AI and automation are already reducing RAN energy consumption and providing partial autonomy for network operations. Even bigger impacts are on the horizon.

Early Telecom AI Progress Points to Real Results 

Early Telecom AI Progress Points to Real Performance Results 

The rapid evolving growth of AI is impacting hyperscaler data centers, as high volumes of traffic and intensive processing requirements push the limits of current networks. Data center architectures and the high-speed networks they rely on must be reevaluated, along with their testing strategies, to ensure reliable performance now and into the future.

The rapid growth of AI is impacting data center architectures and the high-speed networks they rely on They must be reevaluated, along with the testing strategies to ensure reliable performance into the future.

The Challenge of Evolving AI Workloads in Data Centers 

Large enterprises face challenges related to complexity, cost, productivity, and regulatory compliance. Many recognize the critical need to modernize their test labs to automate manual processes, incorporate historical analysis, and facilitate regression testing. The latest transformation strategies provide opportunities to streamline operations, reducing lab testing timelines from months to hours

Large enterprises face challenges related to complexity, cost, productivity, and regulatory compliance.

How Modern Test Labs Cut Cost and Complexity

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AI is transforming data centers, driving demand for high-speed Ethernet and scalable infrastructure. This blog explores how operators are adopting 800G Ethernet and sustainable practices to meet AI’s intensive requirements. Learn why efficiency and resource optimization are essential for monetizing AI infrastructure investments.

AI is transforming data centers, driving demand for high-speed Ethernet and scalable infrastructure. This blog explores how operators are adopting 800G Ethernet and sustainable practices to meet AI’s intensive requirements. 

AI Data Center Testing Emerges as Top Priority

Look Before You Leap: AI Data Center Testing Emerges as Top Priority

Financial institutions rely on their digital infrastructure for conducting financial transactions and providing services to their customers; it's important to ensure their networks are secure, reliable, and perform as planned to their specific needs.

Validating Network Security and Performance

Validating Network Security and Performance for Financial Institutions

Financial enterprises are pushed to test more complex systems, faster than ever, while facing multiple regulatory compliance requirements that must be fulfilled multiple times per year. For many, their current state of testing simply can’t keep up. To address these challenges, a test lab modernization and automation strategy is key to addressing objectives and requirements in the financial sector.

A test lab modernization and automation strategy is key to addressing complex objectives and requirements in the financial sector.

Test Lab Modernization Trends for Financial Enterprises

In the dynamic realm of data centers, AI is setting new benchmarks. A discussion with Aniket Khosla, VP of Wireline Product Management at Spirent, highlighted how AI is revolutionizing data center networking.

AI’s Transformative Impact on Data Center Networking

Innovative testing approaches in preparation for the AI revolution

The growing number of regulatory compliance requirements mandate BFSI institutions conduct annual – some biannual – operational resilience testing to ensure ICT systems can withstand cyberattacks and disruptions. Traditional manual testing can’t do the job anymore.

The growing number of regulatory compliance requirements mandate BFSI institutions conduct annual – some biannual – operational resilience testing to ensure ICT systems can withstand cyberattacks and disruptions. 

Automation Strategies to Avoid Finance’s Major Meltdown

Test, assurance, and automation thought leadership from our in-house experts.

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