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Amazon attempts to lure AI researchers with $110M in grants and credits | TechCrunch

Nov 12, 2024 - techcrunch.com
Amazon Web Services (AWS) is launching a new grant program, Build on Trainium, to support AI research. The program will award $110 million in total to institutions, scientists, and students researching AI, with up to $11 million each in Trainium credits to strategic partner universities and individual grants up to $500,000 to the broader AI research community. AWS will also establish a research cluster of up to 40,000 Trainium chips for research teams and students. However, some critics argue that AWS's control over the grant selection process could lead to a bias towards projects with commercial applications.

The initiative comes amid a growing gap between AI academia and industry, with the latter often having access to more resources. In 2021, AI industry worldwide spent more than $340 billion overall, while U.S. government agencies allocated only $1.5 billion for academic funding for AI research. Despite efforts to bridge this gap, such as the U.S. National AI Research Resource, a $2.6 billion initiative providing AI researchers and students with access to computational resources and datasets, the disparity remains significant.

Key takeaways:

  • Amazon Web Services (AWS) is launching a new grant program for AI research called Build on Trainium, which will award $110 million total to institutions, scientists, and students researching AI.
  • AWS will provide up to $11 million each in Trainium credits to universities with strategic partnerships, and individual grants up to $500,000 to the broader AI research community.
  • There are concerns that AWS will have the final say on which projects receive grants, and that corporate-backed AI research tends to favor work with commercial applications over other areas of study.
  • Despite these initiatives, there is a significant gap between AI academia and industry, with the latter spending significantly more on AI research and attracting a large portion of AI Ph.D. graduates due to competitive salaries and access to essential resources.
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