There’s a secondary pro and con to this pipeline: since the code is compiled, it avoids having to specify as many dependencies in Python itself; in this package’s case, Pillow for image manipulation in Python is optional and the Python package won’t break if Pillow changes its API. The con is that compiling the Rust code into Python wheels is difficult to automate especially for multiple OS targets: fortunately, GitHub provides runner VMs for this pipeline and a little bit of back-and-forth with Opus 4.5 created a GitHub Workflow which runs the build for all target OSes on publish, so there’s no extra effort needed on my end.
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Never the primary choice, but some are frequently recommended as alternatives.
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Sophia, an Nvidia partner, has designed modular server racks with integrated solar panels it calls TILES, which are 1 meter by 1 meter in area and a few centimeters in depth. By adopting this thin form factor, DeMillo says that processors can sit against a passive heat spreader, eliminating the need for active cooling. He expects 92% of the power it generates will go to processing, a significant gain on traditional designs. This design requires, however, a sophisticated software management system to balance activity across the processors.