Our main goals are:

• Increase LATAM research opportunities in Artificial Intelligence by providing high-performance computing resources to researchers and students in LATAM.

• Increase representation of LatinX and LATAM researchers and students in the Artificial Intelligence community, including Professorships, Industrial Research Laboratories, and nascent undergrad and graduate programs.

• Build capacity for Artificial Intelligence Research in LATAM countries.

• Remove hardware and financial barriers to producing high-quality research in Artificial Intelligence in LATAM countries.

LATAM faculty and researchers from universities and research centers who might have good research records and/or innovative ideas, but lack high-computing resources or training.

Nascent Startups that might not have the resources to train a model for a minimum viable product or that require to train models for prototyping purposes.

NGO or individual member of the civil society that seeks to harness the power of data science of artificial intelligence for social good or environmental research

Master / Ph.D. students from a research academic program. Students are required to be full-time, have good grades, and at least being a student in the last 6 months

Research Challenge Organizers that aim to advance the state of the art in some discipline via competitions, hackathons, or other means that are hardware intensive.

To the extent deemed reasonable, selected projects should acknowledge the support from the supercomputer consortium* they receive computing resources from.

The recipients will inform us of publications, presentations, code and data releases, blogs/social media posts, and other speaking engagements referencing the results of the supported research.

The awardees are expected to provide updates and feedback to LatinX in AI via surveys or reports on the status of their research. Award recipients will have an opportunity to work with NVIDIA or LatinX in AI on an informational statement about the awarded project that may be used to generate visibility for their institutions and the consortium.

The program funds academic research and related contributions to open-source projects by top academic researchers around the world.

We have defined 4 main axes:

• Fundamental research (academic projects)

• Applied research projects (from universities or NGOs)

• Projects for fostering the development of startups or spin-offs using AI

• AI for Good projects (either from universities, NGOs, or affiliates).

This program funds a variety of research areas related to Artificial Intelligence, such as applied machine learning, automated reasoning, computer vision, fairness in artificial intelligence, machine learning algorithms and theory, natural language processing, robotics, security, sustainability, and more. Please refer to the detailed CFPs for more information.

More broadly, grants are awarded to researchers and educators working on a broad range of topics.

Please follow the instructions on the Call for Proposals - latinxinai.org/supercomputer-cfp

Yes, you can find the template on overleaf here:

https://www.overleaf.com/latex/templates/lxai-gpu-proposal/rmbnvjzvkhgrm description

The deadlines will be updated on an annual basis, check the CFP page for the most up-to-date information.

Each proposal should be submitted by a single researcher. Other members of the research team should be described in the proposal (i.e., for example in the CV of the principal investigator).

Principal investigators can only submit one proposal at each deadline. However, a researcher can be part of the team of a different proposals who receive awards for compute time.

Yes, but due to the limited number of awards, it is unlikely that multiple projects from the same lab will be awarded in a single cycle. If projects can share hardware, we encourage you to submit them together as a single application.

Project proposals are reviewed by an internal awards panel and the results are communicated approximately three months after the submission deadline. We will communicate the decision to the primary PI listed on each proposal and will make an announcement on the LXAI website.

Yes, we strive for a transparent decision process to help improve the capacities in research in Latin America. We are following a process similar to those in conferences, in which you will be able to see the reviews made by the selected referees, but using a one way blind review process. The reviews and decisions made by the area chair will be made accessible to the authors in order to improve their proposal and increase their chances in a subsequent CFP.

Yes. Applications may be declined for many different reasons and this is a highly competitive program with a limited number of available compute grants. If your application was not selected, we will share reviewers’ feedback to strengthen your proposal in future calls.

While awarded compute grants are unrestricted gifts, we ask awardees to submit brief follow-up surveys on the project outcomes made possible using our resource grant. This request will include listing publications, talks, posters, curriculum, etc. accepted or in review. In addition, we ask that you acknowledge the consortium in any resulting publications. If selected, your award letter will detail the acknowledgment guidelines, as well as when and how to provide updates on your project outcomes.

The LatinX in AI GPU Committee is grateful to have an NVIDIA DGX™ A100 System donated by NVIDIA Inc. to be installed at and managed by our pilot site at Tec de Monterrey. NVIDIA DGX A100 is the universal system for all AI infrastructure, from analytics to training to inference. Through Multi-Instance-GPU (MIG), the eight state-of-the-art A100 GPUs in DGX A100 can be configured into as many as 56 GPU instances, each fully isolated with their own high-bandwidth memory, cache, and compute cores. Selected projects will be awarded a set of GPU instances based on the project requirements as determined by the technical review committee.

For access to free SDKs, technical documentation, and peer and domain expert help, students, researchers and developers are invited to join the NVIDIA Developer Program. Startups are encouraged to join NVIDIA Inception, a free program designed to help your startup evolve faster through access to cutting-edge technology and NVIDIA experts, connections with venture capitalists, and co-marketing support to heighten your company’s visibility. NVIDIA also offers online self-paced courses, instructor-led workshops, and curriculum materials through the Deep Learning Institute. Lastly, academic researchers collaborating with the industry on applied research are invited to apply to NVIDIA’s Applied Research Accelerator Program, for the opportunity to receive additional cash or hardware grants to support their research.