Approach following companies regarding sponsorship for our project (need to be GPU based)
- Microsoft Azure (Get 100 modules per experiment with student account)
- Google cloud
Google Cloud Engine (GCE) provides $400AUD of free credit (~166 hours for 2xP100's + 4vCPU's) upon initial registration with a gmail account. These credits can be used towards any piece of system hardware, including up to 4xP100 GPU systems. This requires a Debit/Credit card to be added for identification purposes, but this card can be used multiple times across multiple accounts with each account receiving the same credit. Hence, with the use across currently owned gmail accounts this should provide sufficient compute power/time for training without being charged. This is a temporary solution though until Phoenix is up and running.
AWS Email - Sebastien
We have been provided your email address by Sebastien Wong who is currently acting as supervisor for my honours project. Sebastien mentioned that you may be able to assist us in our request for GPU-based computation needed to successfully complete our project. The honours project is a required research project for our final year of Electrical and Electronic Engineering and our chosen topic is in machine learning. The project objective is to predict changes in high-resolution spatial data using sparse low-resolution spatio-temporal data. We are hoping to publish a paper about our approach, and would be happy to answer any questions you may have.
Liam and Lucas.
As part of our final year of Electrical and Electronic Engineering at the University of Adelaide, students are required to conduct an honours research project. My group has chosen a topic in machine learning, specifically predicting changes in high-resolution spacial data using sparse low-resolution spatio-temporal data. We are hoping to publish a paper about our approach, and would be happy to answer any questions you may have.
We are looking for cloud providers to sponsor us with GPU enabled instances for use in our research and would be happy to provide acknowledgement in our paper and presentations. Ideally we are looking to run a GPU VM intermittently for the next few months, moving into more full time usage mid-year. The project ends at the end of November. A local company called Consilium Technology is already sponsoring us by providing access to high resolution satellite images for us to use as our dataset.