by Karl Freund | Jul 6, 2020 | AI and Machine Learning, In the News
The annual International Supercomputer Conference (ISC), held virtually this year, kicked off today. Not surprisingly, NVIDIA has already made a few announcements of note. Especially of interest to me was the announcement of Selene, NVIDIA’s in-house 1+ Exaflop AI...
by Karl Freund | Jul 6, 2020 | AI and Machine Learning, In the News
Today, Intel launched and disclosed new technologies across its portfolio of processors, with special emphasis on enhanced AI capabilities. Unlike its many competitors, who either produce a CPU, a GPU, an FPGA or an AI-specific accelerator, Intel’s strategy is “all of...
by Karl Freund | Jun 12, 2020 | AI and Machine Learning, In the News
Software for new processor designs is critical to enabling application deployment and optimizing performance. UK-based startup Graphcore, the unicorn provider of silicon for application acceleration, places significant emphasis on software, dedicating roughly half its...
by Karl Freund | Jun 4, 2020 | AI and Machine Learning, In the News
Microsoft has announced that the company has built a top 5 AI supercomputer for OpenAI, hosted in the Azure cloud. Microsoft invested a billion dollars in the OpenAI industry research group in 2019. The massive system is comprised of some 10,000 GPUs and over 285,000...
by Karl Freund | May 29, 2020 | AI and Machine Learning, In the News
image: AWS Last year at AWS reInvent, out of the 100s of announcements, I chose the top 5 for overall, long-term impact. One of those was Amazon’s EC2 Inf1 Instances that used its new Inferentia machine learning inference chip. I chose Inf1 Instances as a top 5 for a...
by Karl Freund | May 28, 2020 | AI and Machine Learning, In the News
Figure 1: NVIDIA shared performance comparisons across a range of precisions. Note the huge performance increase for sparse matrix operations. Note the banks of 6 HBM chips. image:NVIDIA While many of us missed watching Jensen Huang on stage in his trademark leather...
