The expansion of artificial intelligence (AI) solutions is driving unprecedented change in datacenter infrastructure. These changes are not confined to raw compute power, either: platform complexity, power density, thermal management needs, and security demands all continue to evolve to support high volume, complex AI workloads,
In a recent Security Seminar, experts from Lattice, ASPEED, and AMI discussed growing infrastructure demands, their impact on datacenter design, and why strategic, laye...
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Posted 07/06/2026 by Mamta Gupta, AVP, Segment Marketing, Lattice Semiconductor
全球数据中心市场正以惊人速度扩张，预计到 2033 年市场规模将突破 9000 亿美元。这一前所未有的增长由对 AI 计算能力的强劲需求所驱动，进而要求服务器更加强大、更加复杂。
这些服务器历来采用精简、统一、高度集成的架构运行。然而，需求的持续增长催生了更加分散、异构的数据中心基础设施，给运营商的管理与控制带来了更大挑战。
在 Embedded Computing Design 近期主办的网络研讨会上，Lattice 深入探讨了这一日益复杂的趋势、AI 服务器网络面临的不断扩大的安全风险，以及现场可编程门阵列（FPGA）如何为数据中心安全创新提供所需的控制与信任基础。
数据中心解耦驱动复杂性与风险上升
从统一服务器系统向解耦 AI 基础设施的转变，在现代数据中心中以多种形式呈现。一方面，这涉及在同一服务器机架中整合来自多家供应商的组件，包括不同的 CPU、GPU、网卡（NIC）、数据处理器（DPU）、加速器等；另一方面，还需要支持混合模式，即同时利用云端与本地基础设施，使管理层在系统软硬件层面更加碎片化。
这种解耦带来的问题可归结为三大核心运营痛点：
复杂性爆...
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The continued evolution of AI is reshaping the foundation of datacenter design and development. As workloads grow more complex and resource-intensive, operators face mounting challenges related to datacenter performance, reliability, and security. If workload demands can’t be consistently met, infrastructure will be unable to scale without disruption.
In our latest LinkedIn Live panel discussion , Lattice experts and Bob O’Donnell from TECHnalysis Research explored the increasingly c...
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