David de la Iglesia Castro

Would love https://onnx.ai/

And https://developer.nvidia.com/tensorrt :)

> @daavoo, I see potential overlap with DVCLive here, e.g. you should log RAM/CPU/GPU required for training. But I guess you don't have plans for logging what's required for inference....

> @daavoo do you have something to add here? Just that the following: > Both serve and apply-remote exist just because they are needed for deployment anyway and we expose...

> @daavoo, could you please TAL at my question above? Sorry, I miss the previous notification 😅 . > @daavoo, could you please give a couple of examples? Don't think...

> Does it become more clear now? :) Yes, thanks @aguschin. Still feel that `serving` meaning in MLEM is kind of different compared to other contexts but I guess developers...

`mlem pack pip --help` +1

> Can we rename to trends to align with VS Code and Studio? It sounds appealing and more clear than `scalars`. However, `trends` in VSCode are based on DVC checkpoints,...

Would be nice to also address https://github.com/iterative/dvc.org/pull/3994#discussion_r980294156

> I would expect this to log the metrics per epoch. Hi @rick-van-veen ! I took a look into this and appears to not be related to DVCLive. The problem...