Question

Using NVIDIA GPUs for Scientific Research

Posted on April 3, 2025
Computer Vision
Asked by cecafe1ceb9f4e5dbb6d5da92f1e7e

Hi everyone,

I’ve been exploring the potential of NVIDIA GPUs for accelerating scientific computations, especially in biological research. I recently came across MDA-MB-231 cells, which are widely used in cancer studies, and I was curious—has anyone here used GPU acceleration for processing large datasets related to cell imaging or molecular simulations?

Would Digital Ocean’s cloud-based GPU instances be a viable option for running deep learning models on biological data? Looking forward to insights from anyone who has experience with this!

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alexdo

Site Moderator

• April 3, 2025

Heya, @cecafe1ceb9f4e5dbb6d5da92f1e7e

With the GPU Droplets, you can:

Reliably run training and inference on AI/ML models
Process large data sets and complex neural networks for deep learning use cases
Tackle high-performance computing (HPC) tasks with ease

You can check our full article here:

https://www.digitalocean.com/resources/articles/cloud-gpu-provider#build-with-ai-on-digitalocean

https://www.digitalocean.com/resources/articles/cloud-gpu-provider

Hope that this helps!

Bobby Iliev

Site Moderator

• April 3, 2025

Hey there! 👋

Yes, DigitalOcean’s GPU droplets can definitely be a solid option for running deep learning models, especially if you’re working with large biological datasets like MDA-MB-231 imaging or molecular simulations. I’ve seen folks use them for similar workloads in research and education.