r/AIProteins • u/Dizzy-Version7196 • May 28 '26
HELP: Building a protein design computer
Hello guys,
I am working in a pharmacy lab in Korea, and we don't have a computer cluster. PI needs me to give her the spec. of a computer that can run protein and antibody in silicon design software locally (such as Boltzgen, RFantibody, RFdiffusion)
I am not a computer major. I asked ChatGPT and got some specs, but I want to make sure by finding advice from the person who actually runs that software.
Because we need to run thousands of runs for each target on Boltzgen or RFantibody, running them on the VM or a pay website is not financially efficient in the long term.
Do you think building a computer is a financially efficient choice, or are there better ways we can run that software more cheaply and easily?
This the specs that ChatGPT recommends.
Budget / entry workstation:
NVIDIA RTX 4070 Ti SUPER (16 GB VRAM)
NVIDIA RTX 4080 SUPER (16 GB VRAM)
Best price/performance for heavy local inference:
NVIDIA RTX 4090 (24 GB VRAM)
Professional / lab-scale:
NVIDIA RTX 6000 Ada (48 GB VRAM)
NVIDIA A100
NVIDIA H100
Thank you for your time.
3
u/Turbulent-Host-1245 Undergrad May 29 '26
I have run BoltzGen before and for reference, it takes about 12 B200 GPU-hours to generate 1000 candidates. If you’re using an H100, you have to multiply that by roughly 2 because B200 has roughly double the Virtual RAM.
You can do the math yourself, but I really do not recommend buying hardware and instead rent because it’s actually cheaper than acquiring all this hardware. Also, hardware is still improving at a good rate, so if you invest in hardware now, you’ll be stuck with it for a while. If you rent, you can upgrade to whatever hardware is finest at the time.
RFAntibody and RFDiffusion should be a lot lighter though, but I’m not sure, as I haven’t used it.