Sundar Pichai, CEO of Google and parent company Alphabet, generated a lot of buzz recently with an op-ed he wrote for the The Financial Times calling for greater regulation of artificial intelligence (AI) technologies, adding a high-profile voice into a debate that has been simmering as innovation around AI, machine learning and deep learning have advanced rapidly. …
Like their US-based counterparts, Google and Amazon, the Chinese Internet giants Baidu and Alibaba rely on GPU acceleration to drive critical parts of their AI-based services. …
Intel has made another big move toward its ambition to dominate the artificial intelligence space in the datacenter, acquiring Israeli AI chipmaker Habana Labs for $2 billion. …
Nvidia has for years made artificial intelligence (AI) and its various subsets – such as machine learning and deep learning – a foundation of future growth and sees it as a competitive advantage against rival Intel and a growing crop of smaller chip maker and newcomers looking to gain traction in a rapidly evolving IT environment. …
During the Intel AI Summit earlier this month where the company demonstrated its initial processors for artificial intelligence training and inference workloads, Naveen Rao, corporate vice president and general manager of the Artificial Intelligence Products Group at Intel, spoke about the rapid pace of evolution in the AI space that also includes machine learning and deep learning. …
At this year’s Intel AI Summit, the chipmaker demonstrated its first-generation Neural Network Processors (NNP): NNP-T for training and NNP-I for inference. …
There is much at stake in the world of datacenter inference and while the market has not yet decided its winners, there are finally some new metrics in the bucket to aid decision-making. …
It’s par for the course for AI chip startups to focus on peak performance on outdated benchmarks to appeal to the hardware folks who might give their gear a go for deep learning training or inference. …
If the only thing you really know to date about machine learning chip startup, Groq, is that it is led by one of the creators of Google’s TPU and that will target inference, don’t worry, you didn’t miss something. …
It would be convenient for everyone – chip makers and those who are running machine learning workloads – if training and inference could be done on the same device. …
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