merkleforest

5 ms·

1. 1.▲
   by merkleforest 5mo ago

   > 2. How local use feels in practice Do we have stats on how does the models do on Mac M-series chips?
2. 2.▲
   by merkleforest 6y ago

   It would be great if the infra layer can provide some help on automated resource scaling, especially for RAM. The ML solver/tooling layer has also been making progress on this front, for example Dask for limited-RAM pandas, h2o.ai has
3. 3.▲
   by merkleforest 8y ago

   Thanks for the suggestion! Snark AI will offer a pod type with all fast.ai course dependencies installed and easy jupyter notebook access.
4. 4.▲
   by merkleforest 8y ago

   It's interesting that you're drawing the comparison with NiceHash. Snark AI will be a marketplace like NiceHash but targets mostly deep learning training and inference on the user end.
5. 5.▲
   by merkleforest 8y ago

   Yeah exactly. Hopefully AI computation market will grow big in time so those crypto-miners can pivot into more profitable business of GPU cloud for AI instead of selling the hardware in crypto downfall. In the long term, Snark AI wants to c
6. 6.▲
   Show HN: Blockchain GPUs Unchained-Running Neural Nets Without Hurting Hash Rate(medium.com)

   47 points by merkleforest 8y ago|1 comments
7. 7.▲
   PICASSO: High Performance R and Python Library for Sparse Learning(github.com)

   2 points by merkleforest 9y ago|0 comments