Ciena Global Survey Explores Networking Needs for AI Era
Ciena (NYSE:CIEN) has released a global survey revealing dramatic shifts in data center networking needs driven by AI workloads. The study, conducted with Censuswide across 13 countries, surveyed over 1,300 data center decision makers.
Key findings show that 53% of respondents expect AI workloads to be the biggest strain on data center interconnect (DCI) infrastructure in the next 2-3 years, ahead of cloud computing (51%) and big data analytics (44%). About 43% of new data center facilities will be dedicated to AI workloads.
The survey highlights that 87% of participants anticipate needing 800 Gb/s or higher per wavelength for fiber optic capacity. Additionally, 98% of experts emphasize the importance of pluggable optics for reducing power consumption and physical footprint.
For Large Language Model training, 81% of respondents believe it will occur across distributed data center facilities. Most respondents (67%) prefer Managed Optical Fiber Networks over dark fiber for long-haul connectivity.
Ciena (NYSE:CIEN) ha pubblicato un'indagine globale che rivela cambiamenti drammatici nelle esigenze di networking dei data center, guidati dai carichi di lavoro dell'IA. Lo studio, condotto con Censuswide in 13 paesi, ha intervistato oltre 1.300 decision maker dei data center.
I risultati chiave mostrano che il 53% degli intervistati si aspetta che i carichi di lavoro dell'IA rappresentino la maggiore pressione sull'infrastruttura di interconnessione dei data center (DCI) nei prossimi 2-3 anni, superando il cloud computing (51%) e l'analisi dei big data (44%). Circa il 43% delle nuove strutture data center sarà dedicato ai carichi di lavoro dell'IA.
L'indagine evidenzia che l'87% dei partecipanti prevede di avere bisogno di 800 Gb/s o più per lunghezza d'onda per la capacità della fibra ottica. Inoltre, il 98% degli esperti sottolinea l'importanza delle ottiche pluggable per ridurre il consumo energetico e l'ingombro fisico.
Per l'addestramento dei Modelli Linguistici di Grandi Dimensioni, l'81% degli intervistati crede che avverrà attraverso strutture data center distribuite. La maggior parte degli intervistati (il 67%) preferisce le Reti di Fibra Ottica Gestite rispetto alla fibra scura per la connettività a lungo raggio.
Ciena (NYSE:CIEN) ha lanzado una encuesta global que revela cambios drásticos en las necesidades de redes de centros de datos impulsados por cargas de trabajo de IA. El estudio, realizado con Censuswide en 13 países, encuestó a más de 1,300 tomadores de decisiones de centros de datos.
Los hallazgos clave muestran que el 53% de los encuestados espera que las cargas de trabajo de IA sean la mayor presión sobre la infraestructura de interconexión de centros de datos (DCI) en los próximos 2-3 años, por delante de la computación en la nube (51%) y el análisis de grandes datos (44%). Aproximadamente el 43% de las nuevas instalaciones de centros de datos se dedicarán a cargas de trabajo de IA.
La encuesta destaca que el 87% de los participantes anticipa necesitar 800 Gb/s o más por longitud de onda para la capacidad de fibra óptica. Además, el 98% de los expertos enfatiza la importancia de las ópticas enchufables para reducir el consumo de energía y el espacio físico.
Para el entrenamiento de Modelos de Lenguaje Grande, el 81% de los encuestados cree que ocurrirá en instalaciones de centros de datos distribuidos. La mayoría de los encuestados (el 67%) prefiere las Redes de Fibra Óptica Gestionadas sobre la fibra oscura para la conectividad de larga distancia.
시아나 (NYSE:CIEN)는 AI 작업 부하에 의해 주도되는 데이터 센터 네트워킹 요구의 극적인 변화를 보여주는 글로벌 설문조사를 발표했습니다. 이 연구는 13개국에서 센서스와이드와 함께 실시되었으며, 1,300명 이상의 데이터 센터 의사결정자를 대상으로 조사했습니다.
주요 결과에 따르면 응답자의 53%가 AI 작업 부하가 향후 2-3년 동안 데이터 센터 상호 연결(DCI) 인프라에 가장 큰 부담이 될 것으로 예상하고 있으며, 클라우드 컴퓨팅(51%) 및 빅 데이터 분석(44%)을 앞서고 있습니다. 약 43%의 새로운 데이터 센터 시설이 AI 작업 부하에 전념할 것입니다.
설문조사는 참가자의 87%가 광섬유 용량을 위해 파장당 800 Gb/s 이상의 속도가 필요할 것으로 예상하고 있다고 강조합니다. 또한, 전문가의 98%가 전력 소비와 물리적 공간을 줄이기 위한 플러그형 광학의 중요성을 강조합니다.
대형 언어 모델 훈련을 위해 응답자의 81%가 분산 데이터 센터 시설에서 이루어질 것이라고 믿고 있습니다. 대부분의 응답자(67%)는 장거리 연결을 위해 어두운 섬유보다 관리되는 광섬유 네트워크를 선호합니다.
Ciena (NYSE:CIEN) a publié une enquête mondiale révélant des changements dramatiques dans les besoins en réseau des centres de données, motivés par les charges de travail d'IA. L'étude, réalisée avec Censuswide dans 13 pays, a interrogé plus de 1 300 décideurs de centres de données.
Les résultats clés montrent que 53% des répondants s'attendent à ce que les charges de travail d'IA constituent la plus grande pression sur l'infrastructure d'interconnexion des centres de données (DCI) dans les 2-3 prochaines années, devant l'informatique en nuage (51%) et l'analyse des big data (44%). Environ 43% des nouvelles installations de centres de données seront consacrées aux charges de travail d'IA.
L'enquête souligne que 87% des participants anticipent avoir besoin de 800 Gb/s ou plus par longueur d'onde pour la capacité de fibre optique. De plus, 98% des experts soulignent l'importance des optiques enfichables pour réduire la consommation d'énergie et l'empreinte physique.
Pour l'entraînement des modèles linguistiques de grande taille, 81% des répondants pensent que cela se fera dans des installations de centres de données distribués. La plupart des répondants (67%) préfèrent les réseaux de fibre optique gérés à la fibre sombre pour la connectivité longue distance.
Ciena (NYSE:CIEN) hat eine globale Umfrage veröffentlicht, die dramatische Veränderungen in den Anforderungen an die Netzwerktechnologie von Rechenzentren zeigt, die durch KI-Workloads verursacht werden. Die Studie, die mit Censuswide in 13 Ländern durchgeführt wurde, befragte über 1.300 Entscheidungsträger in Rechenzentren.
Wichtige Ergebnisse zeigen, dass 53% der Befragten erwarten, dass KI-Workloads in den nächsten 2-3 Jahren die größte Belastung für die Infrastruktur der Datenzentrum-Interkonnektivität (DCI) darstellen werden, gefolgt von Cloud-Computing (51%) und Big Data-Analysen (44%). Etwa 43% der neuen Rechenzentrumsanlagen werden für KI-Workloads vorgesehen sein.
Die Umfrage hebt hervor, dass 87% der Teilnehmer erwarten, dass sie 800 Gb/s oder mehr pro Wellenlänge für die Kapazität von Glasfaser benötigen. Darüber hinaus betonen 98% der Experten die Bedeutung von steckbaren Optiken zur Reduzierung des Energieverbrauchs und des physischen Platzbedarfs.
Für das Training von großen Sprachmodellen glauben 81% der Befragten, dass dies in verteilten Rechenzentrumsanlagen stattfinden wird. Die meisten Befragten (67%) bevorzugen verwaltete Glasfasernetzwerke gegenüber dunkler Faser für die Langstreckenverbindung.
- Strong indication of growth in AI-driven data center infrastructure
- High adoption rate expected for advanced fiber optic capabilities
- Clear market leadership position in identifying future networking trends
- Strong focus on sustainability through pluggable optics adoption
- Significant infrastructure upgrades required to meet bandwidth demands
- Potential high costs associated with implementing 800 Gb/s capacity
- Complex challenges in managing distributed computing requirements
- Increased power consumption concerns with AI workload growth
Data Center experts predict at least 6X increase in DCI bandwidth demand over next 5 years, with
The survey, conducted in partnership with Censuswide, queried more than 1,300 data center decision makers across 13 countries. More than half (
To meet surging AI demands,
"AI workloads are reshaping the entire data center landscape, from infrastructure builds to bandwidth demand," said Jürgen Hatheier, Chief Technology Officer, International, Ciena. "Historically, network traffic has grown at a rate of 20
Creating More Sustainable AI-Driven Networks
Survey respondents confirm there is a growing opportunity for pluggable optics to support bandwidth demands and address power and space challenges. According to the survey,
Distributed Computing
The survey found that, as requirements for AI compute continue to increase, the training of Large Language Models (LLMs) will become more distributed across different AI data centers. According to the survey,
-
AI resource utilization over time is the top priority (
63% ) -
Reducing latency by placing inference compute closer to users at the edge (
56% ) -
Data sovereignty requirements (
54% ) -
Offering strategic locations for key customers (
54% )
Rather than deploying dark fiber, the majority (
"The AI revolution is not just about compute—it’s about connectivity," added Hatheier. "Without the right network foundation, AI’s full potential can’t be realized. Operators must ensure their DCI infrastructure is ready for a future where AI-driven traffic dominates."
The research was conducted by Censuswide, among a sample of 1303 25+ full time data center (DC) workers who are responsible for planning or purchasing data centre infrastructure. The markets covered are the US,
About Ciena
Ciena (NYSE: CIEN) is a global leader in networking systems, services, and software. We build the most adaptive networks in the industry, enabling customers to anticipate and meet ever-increasing digital demands. For three-plus decades, Ciena has brought our humanity to our relentless pursuit of innovation. Prioritizing collaborative relationships with our customers, partners, and communities, we create flexible, open, and sustainable networks that better serve all users—today and into the future. For updates on Ciena, follow us on LinkedIn, Twitter, the Ciena Insights blog, or visit www.ciena.com.
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FAQ
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