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Powering Edge AI with Future-Ready Infrastructure Solutions

As the adoption of AI use cases in retail, manufacturing, smart spaces, and other industries continues to expand, enterprise infrastructure performance at the edge needs to keep up. Finding the right balance between performance and TCO is vital for a successful and sustainable business case. Additionally, enterprises are embracing specialized AI models for predictive, generative, physical, and agentic AI, making low-latency data processing for real-time decision-making even more critical. Join us as we discuss Edge AI use cases to demonstrate how businesses can drive growth and operational excellence and how Supermicro's edge portfolio is designed to deliver the required AI performance at the edge.

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IBM Storage Scale With Supermicro Servers and Xinnor xiRAID

As AI/ML, Agentic AI, and Retrieval-Augmented Generation (RAG) workloads grow in complexity and demand, the performance of underlying storage systems becomes mission-critical. To keep GPUs fully utilized, storage must deliver exceptional performance in both sequential and random operations. With their excellent performance, NVMe PCIe drives are ideal for mission-critical applications.

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Accelerate Enterprise AI

The rapid evolution of AI is enabling enterprises across a wide range of industries to enhance business operations and realize revenue from their data. This white paper highlights Supermicro’s industry-leading portfolio of GPU systems and how they can be combined with a range of NVIDIA PCIe GPUs for workload-specific optimization, maximizing ROI and simplifying the adoption of enterprise AI.

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Out of the Box Agent-AI at Any Scale

Supermicro, AMD, and PioVation have jointly developed an agentic AI solution that delivers on enhanced customer experiences, innovative product offerings, streamlined operations, and optimized total cost of ownership (TCO).

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