by Karl Freund | Oct 22, 2020 | Research Paper
The explosive growth of AI processing in data center and edge environments has induced AI startups and established firms alike to develop silicon to handle the massive processing demands of neural networks. Inference processing, in particular, is an emerging...
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 | Oct 13, 2020 | Research Paper
While NVIDIA dominates the market for AI-specific silicon accelerating the training of neural networks, many AI startups are developing silicon to accelerate inference processing, both for data center and edge applications. CPUs have typically been the choice for...
by Karl Freund | Oct 1, 2020 | AI and Machine Learning, In the News, Semiconductor
Last year, Qualcomm teased its Cloud AI100, promising strong performance and power efficiency to enable Artificial Intelligence in cloud edge computing, autonomous vehicles and 5G infrastructure. Today, the company announced it is now sampling the platform, with...
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...
