by Karl Freund | Dec 2, 2020 | AI and Machine Learning, DataCenter AI, In the News, Semiconductor
Today AMD announced its first data center GPU to compete in high-performance computing (HPC) and Artificial Intelligence (AI). Last year, the company announced that it would bifurcate its GPU technology into two architectures: CDNA for computation and RDNA for...
by Karl Freund | Nov 8, 2020 | AI and Machine Learning, In the News
MLPerf, an industry consortium of over 70 companies and institutions, has released the second round of AI Inference processing results. These benchmarks now represent production applications from all major areas of AI deployment today. But only a few technologies...
by Karl Freund | Oct 28, 2020 | AI and Machine Learning, In the News
The 3rd annual AI Hardware Summit concluded last week, after four days of mind-bending presentations, panels and discussions about the Cambrian Explosion in AI. For well over two years, many of us industry observers have waited for the players, big and small, to...
by Karl Freund | Oct 22, 2020 | AI and Machine Learning, In the News
NVIDIA Co-founder and CEO Jensen Huang rarely disappoints his audience nor his investors. This week he once again delivered the goods at the GPU Technology Conference. Announcing a broad range of hardware and software innovations, Jensen made it clear that he intends...
by Karl Freund | Sep 28, 2020 | AI and Machine Learning, In the News
I often opine that NVIDIA needs a data center-class CPU to compete with Intel and AMD, both of whom have used tightly-coupled CPU/GPU technology to win the first three U.S. exascale supercomputer deals. Connecting massive GPUs to fast CPUs over a painfully slow PCIe...
