The next generation of AI supercomputers is shaping up to be massive in size, cost, and power demand. A new study by researchers from Georgetown, Epoch AI, and Rand reveals just how immense the ...

Meanwhile, expanding chip designs grew in complexity at the cost of latency. To deal with this, supercomputer builders began integrating system cooling directly into the computational arrays ...

NVIDIA also unveiled the first update to Isaac GR00T, its foundation AI model for humanoid robots, designed to help them ...

According to Epoch AI's paper, the leading AI supercomputer in 2030 could require 2 million AI chips and cost $200 billion to build — again, assuming that current growth trends continue.

The compute and energy demands of large-scale AI are turning enterprise AI infrastructure into supercomputing, though the ...

According to the EuroHPC JU, the LISA extension will comprise 166 server nodes, each configured with 8 GPU accelerators, all ...

U.S. stock futures point lower as investors digest Moody's credit rating downgrade of the U.S. government, and Walmart shares ...