AI Technology & Industry Review
In the new paper TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support, a Google Research team presents TPU v4, the company’s latest supercomputer. TPU v4 is ten times faster than v3 and 1.2–1.7x faster than Nvidia A100 GPUs while using 1.3x–1.9x less power.
Elon Musk tweeted that Tesla is recruiting AI or chip talents for the company’s neural network training supercomputer project “Dojo.”
On August 15th, Elon Musk tweeted that Tesla is recruiting AI or chip talents for a neural network training computer project named “Dojo”.
The University of Florida (UF) and Nvidia University announced on Tuesday the plan to build the world’s fastest AI supercomputer in academia, providing 700 petaflops of AI performance.
The 48-hour digital event kicked off yesterday, and the company wasted no time making impactful announcements that included a new supercomputer, a family of large AI models, and a Responsible ML on Microsoft Azure initiative.
A research team from NVIDIA, Oak Ridge National Laboratory (ORNL), and Uber has introduced new techniques that enabled them to train a fully convolutional neural network on the world’s fastest supercomputer, Summit, with up to 27,600 NVIDIA GPUs.
Preferred Networks (PFN) is completing a new private supercomputer, MN-2, which the Japanese AI startup expects to have operational in July 2019.
The US Department of Energy’s Oak Ridge National Laboratory in Tennessee today introduced the world’s fastest supercomputer Summit, whose computing power reaches 200 petaflops or 200 million billion calculations per second.