Фото: Александр Кряжев / РИА Новости
从目前芯片厂商的产能分配来看，资源向AI 相关业务倾斜已成必然。三星、SK 海力士、美光等三大存储芯片巨头，2025 年用于数据中心级存储芯片的产能占比已提升至 40% 以上，较 2023 年增长了 15-20 个百分点。在台积电、三星晶圆代工业务中，为 AI 芯片（如 GPU、ASIC）预留的产能也在持续增加，这挤压了消费级芯片的生产空间。
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TransformStream creates a readable/writable pair with processing logic in between. The transform() function executes on write, not on read. Processing of the transform happens eagerly as data arrives, regardless of whether any consumer is ready. This causes unnecessary work when consumers are slow, and the backpressure signaling between the two sides has gaps that can cause unbounded buffering under load. The expectation in the spec is that the producer of the data being transformed is paying attention to the writer.ready signal on the writable side of the transform but quite often producers just simply ignore it.
Although I could push these new libraries to GitHub now, machine learning algorithms are understandably a domain which requires extra care and testing. It would be arrogant to port Python’s scikit-learn — the gold standard of data science and machine learning libraries — to Rust with all the features that implies.