[Tom's Hardware] Intel Deep Dives on Nervana NNP-T: 27 Billion Transistors, 32GB of HBM2 Packed on 688mm-Squared Die - Overclock.net - An Overclocking Community

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[Tom's Hardware] Intel Deep Dives on Nervana NNP-T: 27 Billion Transistors, 32GB of HBM2 Packed on 688mm-Squared Die

 
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post #1 of 1 (permalink) Old 08-20-2019, 07:38 AM - Thread Starter
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[Tom's Hardware] Intel Deep Dives on Nervana NNP-T: 27 Billion Transistors, 32GB of HBM2 Packed on 688mm-Squared Die

Source: https://www.tomshardware.com/news/in...t-p,40185.html

Quote:
Intel revealed fine-grained details about its much-anticipated Spring Crest Deep Learning Accelerators here at Hot Chips 31. The Nervana Neural Network Processor for Training (NNP-T) comes with 24 processing cores and a new take on data movement that's powered by 32GB of HBM2 memory. The spacious 27 billion transistors are spread across a 688mm2 die. Oddly enough, the NNP-T also incorporates leading-edge technology from Intel-rival TSMC.

Artificial intelligence and machine learning have taken the data center by storm, redefining how compute is used and deployed at scale in an exceedingly short period of time. As such, the rise of GPUs, long the go-to solution for AI training workloads, in the supercomputing space has been explosive. In 2008, not one supercomputer used a GPU for computation, instead relying on the tried-and-true CPU, but now 80 percent of compute power in the top 500 supercomputers comes from GPUs. As we've seen time and again, the trends in HPC and supercomputing filter down to the broader data center, so the proliferation of AI/ML workloads presents a threat to Intel's data center dominance, as each GPU replaces several Xeon processors.
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