Originally shared by Wayne Radinsky
“The good news for those betting on AI is that graphics chips have so far managed to defy gravity. At the recent conference of leading graphics chipmaker Nvidia, CEO Jensen Huang displayed a chart showing how his chips’ performance has continued to accelerate exponentially while growth in the performance of general purpose processors, or CPUs, has slowed.”
“Doug Burger, a distinguished engineer at Microsoft’s NExT division that works on commercializing new technology, says a similar gap is opening between conventional and machine-learning software. ‘You’re starting to see a [performance] plateau for general software — it has stopped improving at historical rates — but this AI stuff is still increasing rapidly,’ he says.”
“In the longer term, more radical changes in how computer chips work will be required to keep AI getting more powerful.”


