알파폴드3가 공개되었네요.

깃헙:

​google-deepmind/alphafold3: AlphaFold 3 inference pipeline.​

이건 install guide

​alphafold3/docs/installation.md at main · google-deepmind/alphafold3​

램을 생각보다 별로 안먹지만, 역시나 A100이 필요..

You will need a machine running Linux; AlphaFold 3 does not support other operating systems. Full installation requires up to 1 TB of disk space to keep genetic databases (SSD storage is recommended) and an NVIDIA GPU with Compute Capability 8.0 or greater (GPUs with more memory can predict larger protein structures). We have verified that inputs with up to 5,120 tokens can fit on a single NVIDIA A100 80 GB, or a single NVIDIA H100 80 GB. We have verified numerical accuracy on both NVIDIA A100 and H100 GPUs.

추가:  새소식에 있었네요. 뒷북입니다.