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nvidia is enabling the datacenter market to use data parallelism via hw/sw codesign investments - chips+libs for AI, ETL, SQL, network processing, etc. Those we
by lmeyerov 5y ago
nvidia is enabling the datacenter market to use data parallelism via hw/sw codesign investments - chips+libs for AI, ETL, SQL, network processing, etc. Those were historically too hard for most devs and hw too edge-case-y (ex: wall st was trying ~15 years ago) so were considered largely CPU-only. With new toolchains, pretty easy, so already the default in AI, and that's been extending deeper into data pipelines.