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If the transform's transform() operation is synchronous and always enqueues output immediately, it never signals backpressure back to the writable side even when the downstream consumer is slow. This is a consequence of the spec design that many developers completely overlook. In browsers, where there's only a single user and typically only a small number of stream pipelines active at any given time, this type of foot gun is often of no consequence, but it has a major impact on server-side or edge performance in runtimes that serve thousands of concurrent requests.
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Advanced Micro Devices和Nutanix正在联合开发一个开放的全栈人工智能(AI)基础设施平台,旨在为AI应用提供支持。AMD将以每股36.26美元的购买价格向Nutanix股票投资1.5亿美元。AMD还将向Nutanix提供不超过1亿美元的资金,以支持联合工程举措和市场推广合作,从而加速AMD和Nutanix AI平台的采用。该股权投资计划于2026年第二季度完成。该AI平台旨在让企业和服务提供商能够扩展AI部署。(新浪财经)
When it comes to this specific business, what is something you’ve found particularly challenging and/or surprising that people who get into this type of work should be prepared for, but likely aren’t?
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