Even at the Edge, Scale is the Real Challenge
Neural networks live on data and rely on computational firepower to help them take in that data, train on it and learn from it. …
Neural networks live on data and rely on computational firepower to help them take in that data, train on it and learn from it. …
Google laid down its path forward in the machine learning and cloud computing arenas when it first unveiled plans for its tensor processing unit (TPU), an accelerator designed by the hyperscaler to speeding up machine learning workloads that are programmed using its TensorFlow framework. …
The combination of the excitement for new video games, the machine learning software revolution, the buildout of very large supercomputers based on hybrid CPU-GPU architectures, and the mining of cryptocurrencies like Bitcoin and Ethereum have combined into a quadruple whammy that is driving Nvidia to new heights for revenues, profits, and market capitalization. …
In a way, the processor market started moving in slow motion through 2017 as server makers and their customers were awaiting a veritable cornucopia of processor options, something the industry has not seen in many a year. …
Paresh Kharya, Group Manager, Product Marketing, NVIDIA.
The explosion of applications and services powered by artificial intelligence (AI) is rapidly changing how the world converts data into insight, and driving innovation across many industries. …
Energy is not free, not even to energy companies, and so they are just as concerned with being efficient with their supercomputers as the most penny pinching hyperscaler or cloud builder where the computing is the product. …
The memory market can be a volatile one, swinging from tight availability and high prices one year to plenty of inventory and falling prices a couple of years later. …
Here at The Next Platform, we tend to keep a close eye on how the major hyperscalers evolve their infrastructure to support massive scale and evermore complex workloads. …
The differences between peak theoretical computing capacity of a system and the actual performance it delivers can be stark. …
Generally speaking, the world’s largest chip makers have been pretty secretive about the giant supercomputers they use to design and test their devices, although occasionally, Intel and AMD have provided some insight into their clusters. …
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