[ashtonsix]

By typical I imagined adoption within commonly-deployed TSDBs like Prometheus, InfluxDB, etc.

GB/GH are actually ideal targets for my code: both architectures integrate Neoverse V2 cores, the same core I developed for. They are superchips with 144/72 CPU cores respectively.

The perf numbers I shared are for one core, so multiply the numbers I gave by 144/72 to get expected throughput on GB/GH. As you (apparently?) have access to this hardware I'd sincerely appreciate if you could benchmark my code there and share the results.

[_zoltan_]

GB is CPU+2xGPU.

GH is readily available for anybody at 1.5 dollars per hour on lambda; GB is harder and we're just going to begin to experiment on it.

[ashtonsix]

Each Grace CPU has multiple cores: https://www.nvidia.com/en-gb/data-center/grace-cpu-superchip

This superchip (might be different to whichever you're referring to) has 2 CPUs (144 cores): https://developer.nvidia.com/blog/nvidia-grace-cpu-superchip...