As a former research scientist at Google, Ian Goodfellow has had a direct hand in some of the more complex, promising frameworks set to power the future of deep learning in coming years. …
It is always an exciting time when there is a new compute engine coming into the market, and interest is particularly keen with any new Arm server chip entry. …
The world would be a simpler place for all processing engine makers if they just had to make one device to cover all use cases, thus maximizing volumes and minimizing per unit costs. …
Software maker VMware has always been about tight partnerships with other tech vendors. …
We have a good sense of what projects U.S. companies open source but when it comes to Chinese webscale companies, most notably the big three—Baidu, Alibaba, and Tencent—that ecosystem is less public and not often discussed. …
We have been waiting for years to see the first discrete Xe GPU from Intel that is aimed at the datacenter, and as it turns out, the first one is not the heavy compute engine we have been anticipating, but rather a souped up version of the Iris Xe LP and Iris Max Xe LP graphics cards that were launch at the end of October, which themselves are essentially the GPU extracted from the hybrid CPU-GPU “Tiger Lake” Core i9 processors for PC clients. …
As an engineering director leading research projects into the application of machine learning (ML) and deep learning (DL) to computational software for electronic design automation (EDA), I believe I have a unique perspective on the future of the electronic and electronic design industries. …
Even before the coronavirus pandemic hit, Intel, the dominant maker of processors for servers on the planet, was rejiggering its product roadmaps behind the scenes in conjunction with its largest OEM partners as well the hyperscalers and large public cloud builders that drive about a third of its revenues these days. …
When you have 54.2 billion transistors to play with, you can pack a lot of different functionality into a computing device, and this is precisely what Nvidia has done with vigor and enthusiasm with the new “Ampere” GA100 GPU aimed at acceleration in the datacenter. …
It’s par for the course for AI chip startups to focus on peak performance on outdated benchmarks to appeal to the hardware folks who might give their gear a go for deep learning training or inference. …
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