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As Connectivity Speeds Soar, So Must Silicon Timelines_hero

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Blog - Positioning, Navigation and Timing in a Connected and Automated World

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The essential elements of realistic lab-based GNSS test simulation hero

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Why Edge strategies shouldn’t focus on chasing the lowest latencies hero

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Service Assurance to Star in 5G Network Slicing Successes hero

MWC Shanghai hero

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Sorting Technical and Commercial Challenges as Satellite Use Cases Span New Horizons hero

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市場戦略統括

Senior Product Manager Automotive

Alain Vouffo

Product Line Manager

Romain Zimmermann

Senior Product Manager, Cloud and IP

Bhargavi Srinivasan

Technical Strategist

Raphael Grech

リードソリューションアーキテクト 

Justin Robinson

Malathi Malla

5Gネットワークスライシングの成功事例でサービスアシュアランスが主役 hero

Phone-to-Satellite Connectivity Preps for the Masses_hero

Manager Product Management - Cloud and IP

Razvan Petre

Why Edge strategies shouldn’t focus on chasing the lowest latencies_hero

Spirent’s 2024 5G Report: 5G Standalone Unleashed

Will money grow on 5G trees in 2024?

MWC Shanghai: Updates from the World’s Most Advanced 5G Market

Five Reasons 10BASE-T1S Is Boosting Software-Defined Vehicles

Putting V2X Drive Tests in the Fast Lane

5Gコアへの移行に取り残されないために

通信未開拓地を切り開く衛星利用 技術的・商業的課題の整理

自動運転における測位、ナビゲーションとタイミング

衛星通信でより多くの地域へインターネットアクセスを

Testing infinity: how to build a realistic GNSS test scenario

How to Achieve Ultra-Low Latency for Time-Critical Streams Using TSN Schedule Traffic

規格に準拠したイーサネットスイッチで自動車をスマートかつ安全に維持

5Gネットワークスライシングが成功を納めるうえでサービスアシュアランスが主役に

Why Edge Strategies Shouldn’t Focus on Chasing the Lowest Latencies

C-V2X Testing Musts for True Transportation Transformation

As Connectivity Speeds Soar, So Must Silicon Timelines

Spirent testing strategy for-financial enterprises

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Aniket Khosla profile

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Automation Strategies to Avoid Finance’s Next Major Meltdown

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VP, Wireline Product Management

Aniket Khosla 

今、私たちは数十年ぶりに高速イーサネット（HSE）における最もエキサイティングで意義深い瞬間を迎えています。最新の年次レポートはデータセンターネットワーキングとHSE市場を形作るトレンド、需要、開発の最新情報をレポートしています。

レポート：大変革を迎えるAI主導の高速イーサネット市場

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

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 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.

Spirentブログ

他のストーリーを探す

16 ブログの記事が見つかりました

Spirent’s 2024 5G Report: 5G Standalone Unleashed

Will money grow on 5G trees in 2024?

MWC Shanghai: Updates from the World’s Most Advanced 5G Market

Five Reasons 10BASE-T1S Is Boosting Software-Defined Vehicles

Putting V2X Drive Tests in the Fast Lane

5Gコアへの移行に取り残されないために

通信未開拓地を切り開く衛星利用技術的・商業的課題の整理

自動運転における測位、ナビゲーションとタイミング

衛星通信でより多くの地域へインターネットアクセスを

Testing infinity: how to build a realistic GNSS test scenario

How to Achieve Ultra-Low Latency for Time-Critical Streams Using TSN Schedule Traffic

規格に準拠したイーサネットスイッチで自動車をスマートかつ安全に維持

5Gネットワークスライシングが成功を納めるうえでサービスアシュアランスが主役に

Why Edge Strategies Shouldn’t Focus on Chasing the Lowest Latencies

C-V2X Testing Musts for True Transportation Transformation

As Connectivity Speeds Soar, So Must Silicon Timelines

Spirentブログ

他のストーリーを探す

16 ブログの記事が見つかりました

Spirent’s 2024 5G Report: 5G Standalone Unleashed

Will money grow on 5G trees in 2024?

MWC Shanghai: Updates from the World’s Most Advanced 5G Market

Five Reasons 10BASE-T1S Is Boosting Software-Defined Vehicles

Putting V2X Drive Tests in the Fast Lane

5Gコアへの移行に取り残されないために

通信未開拓地を切り開く衛星利用 技術的・商業的課題の整理

自動運転における測位、ナビゲーションとタイミング

衛星通信でより多くの地域へインターネットアクセスを

Testing infinity: how to build a realistic GNSS test scenario

How to Achieve Ultra-Low Latency for Time-Critical Streams Using TSN Schedule Traffic

規格に準拠したイーサネットスイッチで自動車をスマートかつ安全に維持

5Gネットワークスライシングが成功を納めるうえでサービスアシュアランスが主役に

Why Edge Strategies Shouldn’t Focus on Chasing the Lowest Latencies

C-V2X Testing Musts for True Transportation Transformation

As Connectivity Speeds Soar, So Must Silicon Timelines

通信未開拓地を切り開く衛星利用技術的・商業的課題の整理