
AiSilicon
Git-integrated GPU workloads, push to deploy & pull results



About | Details |
---|---|
Name: | AiSilicon |
Submited By: | Kenneth Corwin |
Release Date | 1 year ago |
Website | Visit Website |
Category | SaaS Data Science |
Create a project and push to your new Git repository to automatically start a GPU-enabled Docker container that runs your code. Have your code write any output directly to the disk, then pull it back from the repository when your job is done.
Awesome Blake! I know the benefits of working on that way. Glad to see you helping on that. All the best here!
1 year ago
Intriguing concept with AISilicon. With the complexity of silicon design projects, how does AISilicon address concerns related to the learning curve for users new to AI-driven design? How does it ensure accessibility and usability for designers with varying levels of expertise?
1 year ago
Congratulations! I am not a developer so unfortunately won't be able to give you any valuable feedback on the tech side. But your website looks great, simple pricing structure, and the product is easy to understand :-) Best of luck with it all and I hope that you'll get many new users and the support you're looking for. 🙂
1 year ago