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As Connectivity Speeds Soar, So Must Silicon Timelines_hero

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Blog - Dispatch from the MEF Annual Meeting

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Take the Complexity Out of Network and Cloud Validation with Spirent AION

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Aniket Khosla profile

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Stephen Douglas

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Malathi Malla 

OFC-2022-Top-Takeaways-800G-Picking-Up-Speed

思博伦5G战略总监

VP, Wireline Product Management

Aniket Khosla 

思博伦高级系统工程师

Boris Henning

安全解决方案产品营销高级经理

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Sr. Product Manager, Routing and Data Center Solutions, Cloud and IP Business Unit

Sudip Basu

虚拟化营销与技术战略总监

Malathi Malla

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高速以太网业务高级产品经理

Asim Rasheed

Senior Methodologist, Spirent

OFC 2025 Shows Off Solutions to Meet AI Challenges

Ultra Ethernet Stack 1.0: A Game Changer, But Proper Assurance is Key

新的测试方法探讨AI网络影响的利与弊

告别瓶颈：应对AI 800G骨干网的新压力测试方法

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

报告：追踪转型中的AI驱动高速以太网市场

AI/ML was Ready for its Closeup at OFC 2024

AI Ushers in New Era of High-Speed Ethernet Complexity for Data Centers

增强协作促进5G传输网络互操作性测试的快速发展

OFC 2023 Top Takeaway: 800G Is Here, with More to Come

测试在加速800G技术部署的关键作用

2022年OFC展会热点话题：800G正在为超大规模云服务商的增长不断提速

New Performance Pressure for Latest App-Driven Data Center Deals

Optimizing Datacenters for RoCEv2 Performance

快速响应以应对前进道路的急剧变化

Clearing Technical Hurdles on the Jump to 800G

利用芯片测试的发展来应对上市时间和质量压力

As Connectivity Speeds Soar, So Must Silicon Timelines

利用思博伦AION消除网络和云验证中的复杂性

Dispatch from the MEF Annual Meeting

Spirent testing strategy for-financial enterprises

Grid lines

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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。

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

Grid Lines

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

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 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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