The Rise of AI Data Centers: FS Empowering Next-gen Data Centers

Entering the era of AI, the most significant demand is computing power, and the crucial infrastructure is the data center. AI, as a new form of productivity, continuously evolves to analyze and create with higher efficiency and speed, driving data centers to provide more powerful computational capabilities, handle larger volumes of data, and progress towards open, ultra-high throughput, and ultra-low latency intelligent AI networks. This article will delve into the evolution of data centers in response to the AI era, and explore how FS contributes to building AI data center networks.

The Evolution of Data Centers in the AI Age

High Scalability in Networking

With ChatGPT sweeping the internet, businesses across various industries worldwide are highly focused on large language models and generative AI. Industry giants such as OpenAI, Google, and NVIDIA are all involved in researching and launching AI products. These AI-based applications require processing large-scale datasets, with volumes continuously expanding as the scale and complexity of large language models increase, leading to exponential growth in computing power consumption. Reports predict that from 2020 to 2030, AI-driven computing power will increase by 500 times. Faced with such immense and rapidly growing computing power demands, AI data centers need to build highly scalable networks to ensure they are well-prepared for the data deluge.

AI data center networks' high scalability lies in their optimization of various aspects such as network architecture, infrastructure, and network management. For example, AI data centers require higher-speed devices to support larger data throughput and higher-rate transmission, enabling them to embrace future innovations and evolving data demands effortlessly. Dell’Oro said 800 Gbps will comprise most AI back-end network ports through 2025. This forecast signals a significant uptick in the deployment of 800G equipment within AI data centers.

Real-time Performance and Low Latency

AI applications, such as machine learning, natural language processing, and computer vision, are typically data-intensive, requiring the processing of large amounts of information. Therefore, they require fast access and rapid transmission between various devices such as switches, routers, and servers. Slow speeds or high latency in inefficient data center networks can disrupt real-time input signals, reducing processing efficiency and thereby affecting enterprise AI-related operations. A 0.1% network packet loss can lead to a 50% decrease in computing performance, necessitating a zero-blocking data center network optimized for AI to ensure the seamless execution of critical tasks and unleash 100% of computing power.

One effective way to achieve low latency in AI data centers is to adopt network technologies that include Remote Direct Memory Access (RDMA). RDMA enables direct data transfer between two remote system memories without involving the operating system or storage. InfiniBand, as a next-generation network protocol supporting RDMA, is also frequently used in data centers designed for AI workloads.

Increased Density in Network Deployment

To expedite the deployment of large AI models, GPU cluster sizes have grown from thousands to tens of thousands of cards; for instance, OpenAI's GPT-4 employs over ten thousand GPU cards to train a model with 1.8 trillion parameters. This integration of high-performance computing devices within a relatively compact space leads to denser data centers.

The increased communication among a large number of GPUs adds complexity to network wiring, while also placing higher demands on switch port density. According to a research report by Dell'Oro Group, by 2027, 20% of Ethernet data center switch ports will be used to connect acceleration servers supporting artificial intelligence (AI) tasks. Over the next three to five years, as AI advances and becomes more prevalent, along with the deployment of next-gen technology infrastructure, high-density networks will become the norm in AI data centers.

Enhanced Network Management System

In addition to the hardware and performance enhancements mentioned above, AI data centers must strengthen their network management capabilities to achieve optimal performance and reliability further. For instance, visualization of the operational status of the entire data center network, rapid detection of anomalies and failures, as well as automation of tasks within IT infrastructure, are all vital for the efficient management of AI data centers.

Elevating AI Data Centers with FS Full-Fledged Solutions

In the rapidly evolving landscape of AI data centers, FS stands at the forefront, offering innovative solutions tailored to meet the unique demands of AI-driven workloads. With the reliable H100 InfiniBand solution, FS empowers AI data centers to achieve unparalleled scalability, performance, and efficiency.

Ultra Performance & Low Latency with FS NVIDIA InfiniBand Devices

FS has become a trusted Elite Partner in the NVIDIA Partner Network, capable of delivering world-class AI, HPC, and machine learning solutions. With a diverse array of comprehensive NVIDIA InfiniBand products, FS stands as a reliable solution provider in the field.

FS's NVIDIA® Quantum-2 MQM9790 InfiniBand switch comes with 64 400Gb/s ports on 32 physical OSFP Ports, delivering the optimal performance and port density in AI-optimized data center networking. Supporting the latest NVIDIA high-speed interconnect 400Gb/s technology, NVIDIA Quantum-2 InfiniBand brings a high-speed, extremely low-latency, and scalable solution that incorporates state-of-the-art technologies such as RDMA, adaptive routing, and NVIDIA Scalable Hierarchical Aggregation and Reduction Protocol (SHARP)™.

FS InfiniBand adapters provide a broad set of software-defined, hardware-accelerated networking, storage, and security capabilities, enabling organizations to modernize and secure their IT infrastructures. The FS H100 InfiniBand solution offers cost-effective, high-quality InfiniBand modules and cables, with speeds of up to 400G/800G. With dependable Broadcom DSP, low power consumption, and compliance with industry standards like OSFP MSA, FS's IB modules and cables ensure efficient, stable data transmission, minimizing losses from business interruptions.

FS's range of InfiniBand devices can be paired with NVIDIA H100 GPU servers to build high-performance, highly reliable, and scalable data center computing networks. This H100 InfiniBand computing network is not only suitable for AI workloads but also supports various intensive computing tasks such as high-performance computing, machine learning, and big data analytics.

Reliable Network Management with Leading Unified Network Platform

For intricate AI-driven data center networks, FS seamlessly integrates PicOS® software and AmpCon™ network controller to automate end-to-end network lifecycle management. This streamlines network configuration and deployment, ensuring efficient resource allocation and utilization for more resilient and cost-effective AI network operations.

FS PicOS® software offers openness and flexibility, empowering customers to configure highly elastic, reliable, and programmable networks tailored to their needs. Supporting a wide array of protocols including MLAG, EVPN-VXLAN, Ansible, ACL, API, and RADIUS, PicOS® software establishes a robust network management system for AI data centers.

AmpCon™ Network Controller is a unified platform for network management, automating zero-touch provisioning (ZTP), deployment, configuration, and lifecycle management of PicOS® software switches. With open APIs and support for custom workflows using Ansible playbooks, AmpCon™ enables powerful, agentless automation, enhancing operational efficiency and agility.

Optimized Network Architecture for Scalability

The FS H100 InfiniBand solution employs a Spine-Leaf architecture, fulfilling current network operational needs while offering flexibility and reliability for future AI data center expansions. This architecture is both straightforward and modular, facilitating rapid scalability as required. Adding extra spine switches easily boosts network capacity, and seamlessly inserting new leaf switches enhances port density without necessitating major alterations to the existing network structure.

Why Choose FS AI Data Center Solution？

In addition to the cost-effective solutions tailored for AI workloads, FS stands out due to its global presence, professional R&D capabilities, efficient logistics, and localized support, ensuring the smooth and stable operation of AI data centers worldwide.

Professional Research and Development

With a world-class R&D center comprising over 400 experts, FS conducts rigorous research, design, and testing to ensure the highest quality standards. Leveraging years of expertise in solutions and top-notch laboratory facilities and equipment, FS provides comprehensive services, including software development, customization, and industrial design.

Network Solution Customization

FS can deliver tailored solutions for clients' AI data centers, effectively managing project costs and achieving precise configurations according to clients' budgetary requirements.

Discover how FS customizes solutions that meet the challenging network needs with the rise of AI. Check here.

Global Warehouses for Rapid Delivery

With over 50,000 square meters of global warehouse space covering 200+ countries, FS ensures timely delivery. More than 90% of orders are shipped the same day, and local warehousing services facilitate pickups, while spare parts services shorten fault resolution times. Rapid product delivery shortens customer project cycles, enabling early business deployment, and helping clients swiftly capture the AI market.

Localized Services for Stable Operations

FS offers comprehensive localized services, including on-site surveys, installations, and troubleshooting. These services extend to the United States, Europe, and Singapore, helping clients save on installation costs. With remote online operations, FS professionals swiftly identify and resolve technical issues within 12 hours, significantly reducing system downtime.

The Final Thought

From high scalability in networking to real-time performance and low latency, data centers have been pushed to new frontiers to accommodate the demands of AI workloads. Throughout the journey of data center development, FS has emerged as a key participant, providing tailored AI computing solutions to some renowned enterprises, and helping them achieve significant milestones in digital transformation in the AI era.

As industries worldwide continue to embrace AI technologies, FS remains dedicated to providing cutting-edge solutions that enable clients to thrive in this era of intelligence and digital transformation.

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