"Learning from trillions of examples and understanding
hundreds of languages – a new supercomputer should pave the way for the
Facebook group Meta into the metaverse.
The Facebook group Meta has put a new supercomputer for
artificial intelligence (AI) applications into operation. The "AI Research
Super-Cluster" will be the fastest AI computer in the world when it is
fully developed in the middle of the year, the company announced on Monday.
Meta's researchers are already using computers to make digital systems
understand what's happening and what's being said in videos. In the future, the
technology could also be used, for example, for simultaneous translations in
video conferences or games.
The new applications are based on AI models that learn from
examples in order to independently understand languages, for example. Models on
the RSC are designed to learn from trillions of examples and work with hundreds
of different languages. In this way, text, images and videos should be able to
be analyzed together seamlessly. When it comes to the goal set by company
founder and CEO Mark Zuckerberg to align the company to a more comprehensive
virtual world (“metaverse”), new augmented reality tools should also be
created. The computer is intended to make a significant contribution to making
the concept of a metaverse a reality for the company.
AI supercomputers are built by combining multiple GPUs into
computing nodes, which are then linked together via a high-performance network.
According to Meta, the RSC currently consists of a total of 760 NVIDIA DGX A100
systems as computing nodes [1]. That's more than 6000 graphics processing units
(GPUs) in total. The storage tier has a capacity of 175 petabytes - that's 175
million gigabytes. The computer is ready for use, but is to be expanded
further. By the middle of the year, the number of GPUs is expected to grow to
16,000, which is said to increase AI training performance by more than 2.5
times."
1. The new "DGX A100 costs 'only'
US$199,000 and churns out 5 teraflops of AI performance –the most powerful of
any single system." 760 of them cost US$152 mln. 16,000 GPUs cost US$405 mln.
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