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Re:Apple Silicon M1 Chips and Docker by raverbashing on Tuesday November 17, 2020 @03:40AM (#25121403)
> It also violates the idea of being able to run the exact same image on your laptop (ARM Mac) and in prod (x86 server).

99% of people are running node/python/RoR/PHP on Ubuntu/Debian/Arch. It works the same for most cases. (possible caveat: I'm not sure if numpy and TensorFlow is supported already but it probably is)

But for basic stuff, it's a non-issue

Re:Apple Silicon M1 Chips and Docker by yjftsjthsd-h on Tuesday November 17, 2020 @01:31PM (#25127599)
You still can't use the same container image across architectures, even if the important parts are interpreted code. You can package the architecture-independent parts for both x86 and ARM, of course, but as you sort of touch on, that still leaves dependency issues and surprise differences in the platform ("oh look, this is so fast on my mac where there's hardware acceleration for the C library used in this hot path" followed 3 weeks later by, "why is this so slow on our x86 servers?").