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Intel NNP-T processor

21.08.2019

Intel introduced the NNP-T (Nervana Neural Network Processor for Training), a large machine learning processor.

The area of the NNP-T crystal is 688 mm2, the number of transistors is 27 billion! The processor configuration includes 24 Tensor Cores with performance up to 119 TOPS (at 1,1 GHz), 60 MB of distributed memory and 32 GB of HBM2 flash memory (individual dies). The processor is manufactured using the 16nm CLN16FF+ process technology at TSMC.

32 GB of HBM2 memory is presented in four stacks with a bandwidth of 2,4 GB / s for each. Together with these chips, the processor already occupies 1200 mm2. The TSWC CoWoS (Chip-on-Wafer-on-Substrate) bus is responsible for connecting the process to memory. The result is a 60 x 60 mm BGA package with 3325 pins.

The power consumption of the NNP-T ranges from 150 to 250 W when air-cooled. Later versions with a large TDP, designed for liquid CO, should appear.

By the end of the year, Intel intends to provide samples of NNP-T to leading customers, with a focus on Tier 2020 cloud service providers. In XNUMX, NNP-T will be available to the general market.

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