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AI & HPC

In 2026, the success of frontier AI models—from OpenAI’s GPT-5 and Google’s Gemini 3.1 to Meta’s Llama 4 and DeepSeek-V4—depends entirely on the strength of the network. As clusters scale toward 100-trillion parameters, high-speed interconnects have become the primary driver of performance. According to Dell’Oro Group (2026), 800G and 1.6T ports now dominate 60% of the AI backend market, a sector valued at $25 billion. Industry data from IDC indicates that deploying 800G OSFP optics with LPO (Linear Drive) technology can boost Model Flops Utilization (MFU) by 25% while slashing per-bit power. Whether utilizing DAC for zero-latency intra-rack links or AOC for scalable inter-rack efficiency, these advanced solutions bridge the gap between isolated GPUs and a cohesive "digital brain," enabling the low-latency synchronization essential for the next era of AGI.
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Cloud Interconnect

As global data traffic is projected to surge toward 20 zettabytes by 2026, the pressure on Data Center Interconnect (DCI) and internal fabric has reached a breaking point. Modern enterprises no longer just needcables —they demand deterministic low-latency and massive throughput to fuel AI-driven workloads and multi-cloud ecosystems.The Challenge: Legacy infrastructures are struggling with thebandwidth wall,where power consumption and signal degradation limit the scalability of hybrid cloud environments.
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Storage Network

As data volumes explode and AI-driven workloads become the norm, the backbone of the modern enterprise is no longer just the server—it is the Storage Network. The ability to move, access, and protect data at lightning speed has become the ultimate differentiator for business agility.In the article, we explore how evolving technologies like NVMe-over-Fabrics (NVMe-oF) and high-speed Fibre Channel/Ethernet are redefining what’s possible. Whether you are managing complex SAN/NAS environments or scaling cloud-native storage, understanding how to eliminate bottlenecks is key to 24/7 operational excellence.
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