CloudResources

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Amazon Web Services (AWS)

AWS Cloud Credits for Research

The AWS Cloud Credits for Research Program supports researchers who seek to:

  1. Build cloud-hosted publicly available science-as-a-service applications, software, or tools to facilitate their future research and the research of their community.
  2. Perform proof of concept or benchmark tests evaluating the efficacy of moving research workloads or open data sets to the cloud.
  3. Train a broader community on the usage of cloud for research workloads via workshops or tutorials.

AWS will evaluate academic research support proposals from researchers at accredited institutions throughout the year. Awarded amounts will vary depending on the research proposal and usage requirements documented in the proposal, and will be in the form of promotional credits applicable to AWS services.

  • EC2 (Elastic Cloud 2) usage supported by promotional credits will be for on-demand and Spot Instances only.

There are quarterly deadlines for submitting grant applications.

Decisions are typically communicated 2-3 months following each deadline.

If the appicant is awarded Promotional Credits for free usage of AWS, the promotional credits will be good for 1 year or until the promotional credits have been fully utilized, whichever comes first.

The project end date cannot be extended.

Promotional credits will expire if unused.

Application process

The application requests

  • Area of Study
  • Intended Purpose of Research
  • Duration of project, 12 months max
  • Monthly bill
  • Proposal description
    • Brief description of problem to be solved.
    • Proposed AWS solution (including specific AWS tools, timeline, key milestones).
    • Plan for sharing outcomes (tools, data, and/or resources) created during project.
    • Any potential future use of AWS beyond grant duration by individual research group or broader community.
    • Names of any AWS employees the applicant have been in contact with (this is not a prerequisite for the application).
    • Any AWS Public Data Sets to be used in the applicant's research.
    • Keywords to facilitate proposal review.
    • Proposal description

Google Faculty Research Awards Program

  • Google is interested in maintaining strong ties with academic institutions worldwide pursuing innovative research in core areas relevant to their products and services.
  • The Faculty Research Awards Program aims to recognize and support world-class, permanent faculty pursuing cutting-edge research in areasof mutual interest.
  • The goal is to identify and strengthen long-term collaborative relationships with faculty working on problems that will impact how future generations use technology.
  • Awards of up to $150K are made for one year as an unrestricted gift
  • Funding rate is about 15%

Application process for a Faculty Research Award

  1. Read advice on how to write a good proposal and learn more about our Faculty Research Awards in the associated FAQ.
  2. Ask a Google employee to champion your proposal. A Google champion or sponsor is not required to submit a proposal, but it helps ensure that your proposal is relevant and of interest to Google. The Google champion or sponsor should be:
    • A willing participant
    • Considered an expert in the applicant's area of research
    • Familiar with the applicant's work.

    It is the primary principal investigator's responsibility to find a champion/sponsor.

  3. Write your proposal using the advice mentioned in step 1. If you have a Google champion or sponsor, ask them to provide feedback.
  4. Submit your proposal by the annual September 30th deadline
  5. Decisions are announced in February

Tools and resources

Google supports external and academic research by making available a variety of tools and resources that take advantage of their scale and infrastructure.

  • Product APIs
    • APIs for many of our products, including Google+, Android, Google Maps and more
  • Google Cloud Platform
    • Modular cloud-based services that allow the applicant create anything from simple websites to complex applications.
  • Google Developers
    • News, tips and developer resources for the applicant's favorite Google products and services.
  • Google Open Source Code
    • Serving the open source community through code releases, with over 20 million lines of code covering 900 projects.
  • TensorFlow
    • TensorFlow is an Open Source Software Library for Machine Intelligence.

Microsoft Research/Azure

Azure awards

Faculty, researchers, and graduate students are qualified to submit proposals for Azure awards for research projects. Masters and undergraduate students require a faculty project supervisor to submit their proposal.

Microsoft Azure offers grants to university and non-profit research labs.

Microsoft Research is soliciting proposals for the use of Microsoft Azure in research. We welcome research proposals from any branch of scholarly activity.

  • We are interested in individual investigator projects as well as projects that will support access to services and data of value to a collaboration or community.
  • We will periodically announce additional special-opportunity RFPs on specific cloud research topics.
  • Winning proposals will be awarded allocations of Microsoft Azure storage and compute resources for a period of one year.
  • The size of the allocations will be suitable for a substantial research project.
  • Qualified applicants must be affiliated with a university or non-profit research organization.
  • Your proposal should be in English and less than three pages in length. It should include resource requirement estimates (number of core, storage requirements, and so forth) for your project.
  • The information you provide will be used to verify eligibility and to improve and personalize your relationship with Microsoft Research. Microsoft may contact you as part of the verification process.

Application process for an Azure award

The information the applicant supplies includes the following.

  • Award type
    • Internet of Things
    • Climate Data Research
    • Data Science Research
    • Machine Learning Research
    • Public Health Award
  • Proposal Title
  • Primary Application Domain
    • Astronomy, astrophysics
    • Life sciences, medical, biological, etc. i.e. internal to organisms
    • Chemistry
    • Computer science
    • Education
    • Engineering
    • Environmental, including flora/fauna, other biomass, behavior, etc. i.e. organisms holisically
    • Geophysical, earth sciences, etc.
    • Scholarly communications, library and information science, etc
    • Mathematics, statistics, logic, etc.
    • Other physics and physical sciences not specified elsewhere
    • Social sciences, social media, etc.
    • Urban science, transportation, logistics, etc.
    • Other
  • Primary Technical Approach
    • Big Data Analysis
    • Data Collection<
    • Databases
    • Internet of Things
    • Machine Learning
    • Science Portals
    • Streaming Data
    • Other
  • Abstract which describes the goal of the project - 3 pages or 1000 words

IBM Shared University Research (SUR) Awards

The IBM Shared University Research (SUR) Awards is a world wide monetary, cloud and equipment award program to promote research and innovation in strategic areas of mutual interest and to build skills in 'New Collar' jobs. Nominations for these awards must be initiated by someone within IBM.

The SUR Awards program strives to connect the research and researchers at universities with personnel in IBM: in organizations such as IBM Research, IBM Life Sciences, IBM Global Services and our development and product labs. This program is not aimed at supporting a single individual or research project. Rather, the intent is to support and have an impact in an area of significant interest to the university and IBM.

The SUR Awards program is designed to:

  • Promote collaborative research projects that bring value to IBM, the technology community, and our world.
  • Increase access to IBM technologies for research and in curriculum.
  • Provide opportunities within IBM for undergraduate, graduate, and Ph.D. students.

Nomination process

IBM does not accept unsolicited requests for SUR awards. All requests must be submitted through IBM employees who interact with faculty members or the institution, in most cases on a technical basis. IBM provides a limited number of SUR awards each year, at its discretion. No guarantee of award, implied or otherwise, is made by IBM. All proposals are generated by IBM personnel in collaboration with their university counterparts. Proposals are evaluated through a multi-stage process.

Oracle

External Research Office

The External Research Office invests in research collaborations that fit Oracle's long-term strategic goals. These collaborations are between university researchers and engineers/researchers throughout Oracle's various organizations. Collaborations help narrow technology gaps and provide access to technologies of interest to Oracle's growth over the next several years. The results of these collaborations can include new technology and product ideas, patents and publications, new employees, faculty sabbaticals, and student internships at Oracle.

Oracle Collaborates For Four Main Reasons :

  1. To develop the Oracle Ecosystem -- complementary technologies; catalyst for development on the Oracle platform.
  2. To explore the design space in research areas relevant to Oracle.
  3. To follow up university research initiatives in a way that can improve Oracle's products.
  4. To recruit and hire the best students; and to encourage student internships at Oracle.

Oracle collaborates with faculty, research directors, and principal investigators at domestic and international universities, at national labs and nonprofit research organizations worldwide. Graduate Students should discuss any collaboration ideas with their faculty advisor. The faculty advisor should communicate directly with a compatible research partner at Oracle.

Others

The following companies offer cloud computing, but no significant program for funding research grants.

  • Dell
  • Hewlett Packard
  • Penguin Computing
  • Rackspace