莱迪思博客

Today’s industrial robots are becoming more capable, moving from simple fixed-function systems to perception-driven platforms. Advancements in sensor and processing technology are enabling these systems to better perceive their surroundings, adapt to changing conditions, and make more reliable real-time decisions, if developers can overcome the new processing, power, and latency challenges that come with added complexity. In our latest LinkedIn Live panel discussion, experts from Lattice,...

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...

As modern avionics system complexity increases, safety certification has become one of the most demanding challenges hardware teams face. At the center of that challenge is DO-254, the worldwide standard that governs the development of airborne electronic hardware. In a recent webinar, experts from Lattice and NewTec broke down what DO-254 compliance actually requires, where FPGA-based designs help simplify safety challenges, and how the right hardware partner can meaningfully reduce the burden...

On June 22, 2026, President Trump signed Executive Order (EO) 14409, Securing the Nation Against Advanced Cryptographic Attacks, a significant policy milestone that accelerates the U.S. government's timeline for adopting post-quantum cryptography (PQC). 2026年6月22日，特朗普总统正式签署第14409号行政令（EO 14409）——《保障国家免受高级密码学攻击》，这是美国政府加速推进后量子密码学（PQC）应用的重要政策里程碑。 在本博客中，我们将探讨这一行政令的具体要求、其截止日期为何比许多机构预想的更为紧迫，以及莱迪思屡获殊荣、业界领先的PQC就绪型MachXO5™-NX TDQ FPGA系列如何帮助客户应对这一过渡挑战。 该行政令针对联邦高价值资产（HVA）及高影响力系统设定了明确的合规要求...

人形机器人已进入到大型物流仓库中搬运货物、在汽车装配线上排列零部件，并在全球一些最大的订单履行中心开展试点运营。可以说人形机器人的第一波浪潮已经到来，其并非停留在实验室或演示中，而是在真实的生产环境中承担实际工作。高盛预测到2035年，该市场规模将达到380亿美元。而今天正在设计的人形机器人平台，正是未来随这一增长实现规模化扩张的关键。 但制造人形机器人与制造传统机器截然不同。人形机器人是一个分布式计算平台，不仅需要行走、感知环境、在现场进行自我更新，还必须满足监管要求，而这一切都必须在有限的电池功耗预算下完成。这意味着其内部芯片必须同时具备实时控制、超低功耗、异构协议桥接和硬件级安全等能力。没有哪一款MCU、分立式安全芯片或应用级SoC能够独自包揽这一切。 莱迪思低功耗FPGA正是为此而设计。单个莱迪思FPGA即可充当人形机器人平台“始终在线的神经系统”——从电源接通的瞬间起，甚至在任何应用处理器启动之前，便开始管理电源时序、桥接传感器与执行器、保障物理安全和加固网络安全。 为何人形机器人将芯片性能推向极限 现代人形机器人并非一...

Drivers expect their vehicles to be safe whether they are behind the wheel or not. But delivering on that expectation, with a system that monitors, detects, and responds around the clock, has proven harder than it sounds. Last year saw car thefts in the US drop to their lowest level in decades, down 23% year over year. Still, a theft occurs every 48 seconds, causing staggering losses for individuals and organizations. Always-on monitoring has emerged as a potential solution, enabling smarter al...

ASPEED’s management compute and Lattice’s low power programmability come together in a single device — the configuration modern platforms have been asking for. Server architectures aren’t getting any simpler. AI workloads keep pushing platforms toward disaggregation, modular I/O, and faster iteration cycles — and OEMs and ODMs are being asked to deliver all of that while platforms keep evolving after they ship. The new ASPEED AST1840 brings two leading technologies ...

Every major shift in datacenter architecture moves certain security capabilities from nice-to-have to non-negotiable. As systems become more disaggregated, platforms more modular, and firmware delivery increasingly network-based, traditional trust assumptions no longer hold. Hardware is sourced across vendors. Devices are updated and replaced continuously. Systems are expected to evolve over long operational lifetimes rather than remain static. In this environment, trust cannot be assumed at bo...

As demand for artificial intelligence at the edge continues to grow, it has become increasingly difficult for designers and developers to support. Constrained edge systems often lack the power, processing, and space required to run these high-performance workloads effectively. In a recent webinar hosted by Embedded Computing Design, experts from the Lattice team discussed the growing role that flexible field-programmable gate arrays (FPGAs) play in the development and deployment of edge AI solu...

In early 2026, a quiet shift became impossible to ignore: artificial intelligence (AI) moved from helping defenders to operating like an attacker at scale. The cybersecurity community took notice when researchers revealed that an advanced AI system, known publicly as Claude Mythos Preview, was able to independently discover and exploit serious software vulnerabilities. Many of these weaknesses had existed for years in widely used operating systems and software, despite extensive testing and revi...