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 | 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...
by Karl Freund | Sep 3, 2020 | AI and Machine Learning, In the News
Last May, when NVIDIA unveiled the Ampere GPU architecture, the company announced a new supercomputer named Selene that ranks #7 in the world in total performance. Selene is now the fastest industrial system in the USA and is the second-most energy-efficient system...
by Karl Freund | Aug 31, 2020 | AI and Machine Learning, In the News, Semiconductor
Last November I covered Blaize and its silicon and software strategy, and noted that the company’s fairly large team has been focused on early customer engagements to gain insights and accelerate adoption. Now the company, backed by industrial heavyweights such as...
by Karl Freund | Aug 17, 2020 | AI and Machine Learning, In the News
Today, the industry standard AI benchmarking group, mlperf, released its 3rd raft of submissions for training AI networks, and just like the first two releases, NVIDIA swept a sparse competitive field in the category of commercially available hardware and software....
