Amazon has invested heavily in the field of AI, investing US$110 million to develop its self-designed Trainium chips, a move aimed at reducing its dependence on Nvidia and improving the competitiveness of its cloud computing platform AWS. The editor of Downcodes learned that this plan called "Build on Trainium" will provide university researchers with the opportunity to use Trainium chips for large-scale distributed computing, and promises to share all research results as open source to promote the advancement of AI technology. Amazon has established a research supercluster containing up to 40,000 Trainium chips, aiming to attract research on algorithm improvements and large-scale distributed systems.
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Trainium is a machine learning chip tailored for deep learning training and inference tasks. Amazon hopes that through this investment, it will encourage the academic community to use Trainium chips to conduct research on new AI architectures, machine learning libraries, and performance improvements.
The initiative, called "Build on Trainium," will provide university researchers with the opportunity to use Trainium for large-scale distributed computing. Amazon says it has built a research supercluster of up to 40,000 Trainium chips that are optimized for AI’s unique workloads and computing structures. Through this plan, Amazon hopes to attract all types of AI research, including algorithm improvement and research on large-scale distributed systems.
Amazon also promises that all AI results achieved through the program will be shared in an open source manner so that researchers and developers can further advance the technology. In addition, the program will provide funding for new research and student education, and plans for multiple rounds of research awards, with selected projects receiving AWS training credits and access to large Trainium superclusters.
Todd C. Mowry, computer science professor at Carnegie Mellon University's Catalyst research group, who is involved in the program, said AWS's Build on Trainium program provides their faculty and students with large-scale access to modern accelerators that will help Expand research on tensor program compilation, machine learning parallelization, and language model services and tuning.
This investment by Amazon not only shows its ambition in the field of AI, but also further promotes cooperation with academia, striving to maintain a competitive advantage at the forefront of AI technology.
Amazon's move not only demonstrates its strategic layout in the field of artificial intelligence, but also provides valuable resources and platforms for the academic community, heralding a new chapter in the future development of AI technology. Through cooperation with universities, Amazon is expected to accelerate breakthroughs in AI technology and consolidate its leading position in the field of cloud computing. We look forward to more innovative achievements in the future!