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  Embedded instrumentation can also help you launch new services with confidence. If you want to offer spectrum leasing services, you’ll need enhanced power and spectral monitoring, and RLS provides just that. It’s optimized for spectrum services, today. Each customer’s spectrum can be monitored and policed at every ingress and egress point across the network. And, of course, RLS works with Ciena’s intelligent   Liquid Spectrum   apps to help you optimize capacity and extract even more value from your deployed photonic line system. #3) Automate. Automate. Automate. Getting your network up and running smoothly can be a real pain point if you don’t have a modern photonic line system that’s highly automated and programmable.The RLS is geared for automation, enabling widescale deployment and eliminating the manual steps of platform commissioning and provisioning so you can easily grow your business's foundation. Whether you need to turn up a single site or hundreds of nodes i...

  AI is at the forefront of the technology market sector these days. Research & Development companies are producing more powerful GenAI models, and new companies are appearing on the scene (witness DeepSeek). Global content providers and service providers aren’t standing still either. They are rearchitecting and scaling their networks to ensure they can accommodate the requirements that AI demands: Hyper-connected hyper-powerful GPU clusters for the  training  of Large Language Models (LLMs) High-bandwidth connectivity for real-time  inferencing  to respond to user’s queries In addition, global content and service providers are exploring how  AI can be leveraged to improve and accelerate their network operations – so called AIOps. In   a previous blog , I discussed some high-runner use cases with Ciena experts. In general, AI, Machine Learning (ML), and GenAI can be applied to three key areas to empower network operations teams: Assurance Optimizat...

  This example and many others like it demonstrate the importance of having choice in pluggable transmission modes to best serve the application at hand. With WaveLogic 6 Nano, which is based on the industry’s first 3nm coherent ASIC, Ciena will continue supporting a broad range of transmission modes including OIF 800ZR and OpenROADM 800ZR+, in addition to high-performance 800G modes that extend connectivity across more links. Pluggables or embedded – what’s the best fit? As pluggables gain traction across an increasing number of network applications, our customers are looking to strike the right balance between deploying pluggables and embedded coherent modems to meet their demands. The incredible  (WL6e), which became commercially available last October, illustrates the ongoing and critical need for embedded coherent solutions. As disclosed in our first fiscal quarter earnings report, Ciena added 20 WL6e customers in the first quarter alone. Whereas pluggables are optim...

  Ciena has long been known as the global leader in high-speed optical networking. At the core of our approach are industry-leading coherent modem technology, versatile optical line systems, and advanced network automation tools. These solutions are widely deployed in subsea, long-haul, metro DWDM, and data center interconnect (DCI) networks of all sizes, setting the standard for modern optical networks and ensuring they can scale while reducing power and space requirements. As we look forward, The rapid expansion of cloud services and the exponential growth of artificial intelligence (AI) applications have led to soaring traffic growth, denmark telegram data beyond the typical 30% annual growth rate. We know first-hand that service, cloud, and content providers demand the highest capacity and lowest latency network architectures to underpin innovative new AI solution offerings. We are already helping our customers meet those demands with our (WL6e) coherent modem—the industr...

  Despite the current hype associated with the network impacts of AI, AI-driven traffic is still in its early days and not yet substantially augmenting data flows outside of data centers. However, additional connectivity capacity will be vital to sustain the growth of AI infrastructure and the evolution of AI models and applications. Securing such capacity is an integral part of investments that are already underway, creating tangible opportunities for network operators aiming to monetize AI demand. Now is the time to set out for success in AI infrastructure connectivity. AI compute growth will translate into a 200-fold increase in power requirement “ Deep learning worked, got predictably better with scale, canada telegram data and we dedicated increasing resources to it. ” Sam Altman’s words appropriately summarize the impressive evolution of AI models and its supporting infrastructure in recent years. Hyperscalers and AI powerhouses are investing billions of dollars to...

  Sustainability continues to gain priority with network operators of all kinds, overland and undersea. It permeates every part of any business, but for communication service providers (CSPs), the network represents the largest source of carbon emissions and the greatest opportunities for reduction. While energy efficiency is an incontestably critical factor in network sustainability, CSPs can benefit from expanding their environmental stewardship by applying a green lens to all their network initiatives and processes. Delivering more with less has been an underlying challenge in the networking industry for several decades. Growth in bandwidth has driven the digital economy forward and enabled new use cases that have boosted global productivity and overall well-being. However, it has come at the cost of constant network infrastructure investments by CSPs, who must balance modernization efforts with the need to keep costs and environmental footprint in check. The increased capacity ...