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....
by Karl Freund | Jul 29, 2020 | AI and Machine Learning, In the News
Graphcore, a UK-based startup, launched its first Intelligence Processing Unit (IPU) for AI acceleration in 2018. Today it introduced its second-generation product for AI, a massively parallel chip with 59.4 billion transistors that delivers some 250 Trillion...
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...
