FS Fiber System is Helping Data Centers Prepare for Artificial Intelligence

Today is a moment when AI (artificial intelligence) is gaining significant importance across industries like finance to IoT. However, it must be noted that the success and efficiency of AI heavily depend on the supported infrastructure, and one crucial component is the data centers composed of fiber optic deployment. This article explores how optical advancements are reshaping data center infrastructure to meet the demands of AI-driven workloads.

Hyper-scale Data Centers Increased by AI

As AI continues to gain widespread adoption, much larger and more dense facilities like hyper-scale data centers are planned to be built. Hyper-scale data centers can accommodate thousands of GPUs, handling enormous computational power to process and analyze vast data sets. When done correctly, AI networks like emerging ChatGPT(which requires millions of learnable parameters) can go smoothly. All of those AI applications are heavily dependent on incredible numbers of optical links and connections. The connected fibers deliver data that comes from the meshed spine or leaf switches and then route them to GPUs appropriately. It's estimated that optical connections may be up to several times within hyper-scale data centers compared to the traditional. But how the fiber networks benefit hyper-scale data centers for AI?

Why Fiber Optic Construction is Key to AI-driven Data Centers

As mentioned above, to fully make use of AI capabilities, technicians must ensure that their network infrastructure can support the demanding computational requirements. This is where fiber optic deployments play a crucial role. And they mainly benefit AI-driven hyper-scale data centers in the following ways.

Fiber Cable Deployment Supporting High-bandwidth and Low Latency

For industries where time is of the essence, high bandwidth and low latency play a critical role. For example, since millions of transactions occur within milliseconds in financial services, high speed and reduced latency can lead to increased profitability, and for cloud computing, longer latency means slower response times, which can impact user satisfaction and productivity.

Fiber optic cable deployments answer the problem. They offer high bandwidth and low latency compared to traditional copper-based networks. The newest Cat8 copper cables only support up to 10G speed, while OM5 fiber cables allow migration to 400Gbps. Besides, fiber optic cables use light signals to transmit data, and light travels through fiber optic cables at approximately 299,792,458 meters per second, significantly reducing latency compared to copper cables which are more susceptible to latency due to signal degradation, and electromagnetic interference.

And note that, fiber optic cables can transmit data over long distances without any degradation in signal quality, enabling seamless connectivity in AI-driven data centers located across different geographical locations.

Fiber Cable Deployment Enhancing AI Performance

Deploying fiber optic cables can enhance AI performance in faster data processing and improved model training. AI operations rely on fast data processing. For example, AI insights can ensure financial security when real-time fraud detection in banking transactions. Data centers with fiber optic deployments allow AI algorithms to quickly access and analyze large datasets, leading to quicker insights or decision-making. Thus, companies can capitalize on the competitive advantage gained from real-time data processing, resulting in improved business operations and customer experiences.

Moreover, training AI models requires extensive computations. AI adopts probabilistic and statistical methods to generate predictions, solutions and actionable results from the massive dataset. The low-latency fiber optic deployments play crucial roles here, they can enable seamless transmissions between distributed computing resources so that the time required for model training is reduced. This enhanced efficiency accelerates the development and deployment of sophisticated AI models.

FS Three-S Principles Committing to Data Centers Prepare for AI

FS grasps the trend of AI development, welcomes this technology revolution, and is always focused on the Three-S principles, speed, simplicity, and small to service our customers.

Speed: Data centers need to maintain a competitive advantage of speed to address the challenges of AI's faster development. Around this issue, FS integrates high-speed trend codes and actively optimizes fiber product mix. FS continues to upgrade keystones for higher speed connections, such as LC connectors for 10G/40G links, introducing MTP fiber components for 100/400G connectivities.

Simplicity: Getting high performance with less time is a factor that data centers are concerned about. Preterminated fiber solutions bring simple installation in this field, enabling data center operators to scale their deployments efficiently. Denser MTP/MDC cables and modular-design FHD fiber panels and cassettes are the solutions that FS provides. The higher the cable density, the more fiber counts are accommodated in a smaller cable diameter, therefore, the denser MTP fiber or MDC fiber cables can transmit more data and spend less install time than the LC fibers. The fibers installed with FHD series products are the perfect deployment, further improving the simplicity and flexibility of fiber cabling.

Small: Considering the increased number of optical connections for developing AI, fiber cables with smaller diameters matter a lot in data centers restricted by space. The smaller the fibers are, the more space is saved. This gives data centers more space for cooling and better installation. FS G657.A1 uniboot fibers are the suitable solutions. They allow one cable to carry both fibers, reducing cable congestion when routing, designed for high-density fiber patching in data centers required space saving.

AI-driven data centers are currently right on trend. FS is excited to serve data centers to lay the fiber-rich foundation required for AI operations. In the future, FS will work together with our customers, partners and co-workers to benefit them more and contribute more to AI applications.