![]() ![]() The demo is based on training the deep neural network (DNN), by inputting a 20,000 pictures for training overnight. Pascal brings 15 billion transistors using 16nm FinFET in a massive 3D stacked die (600 mm2).ġ0:18 AM PDT: Mike Houston, one of Nvidia’s AI Research Leads demonstrates the Facebook AI Research, which was developed in collaboration with Nvidia. The company spent up to 3 billion dollars and several thousand engineers to create the first-pascal based product: Tesla P100 And we decided to design a GPU architecture to accelerate deep learning, to accelerate AI, and to become perfect datacenter GPU. This means both high-end versions of NVIDIA Pascal architecture, as well as AMD Vega high-end architecture are all 2017 products.ġ0:25AM PDT: 3 years ago, we decided to go ‘all in’ on AI, ‘all in’ on HPC. The products will be launched throughout the second half of the year, with the product launch in Q1 2017. ![]() This is what can help predict the market analysis, and the whole goal of the project is to ‘democratize deep learning.’ġ0:45 AM PDT: Bryan Catanzaro, Senior researcher from Baidu discusses how Baidu was able to do a 30 times larger model on Pascal system than on Maxwell-based GPU setup.ġ0:37 AM PDT: Nvidia introduced its first complete supercomputer, targeting deep learning AI DGX-1. Performance now varies between 391.0 and 400.1 examples/sec, reducing the number of total_loss (for information) to below 12.0 as the number of samples increases. Google started to work on TensorFlow and recently made the switch to the Pascal architecture. Thus, creating a multi-PFLOPS 42-48U server will set you back $2.79 to $3.1 million.ġ0:48 AM PDT: Rajat Monga, Technical Lead and & Manager at TensorFlow discusses Google’s decision to open TensorFlow from an in-house tool only into an open source, ultimately becoming a business unit focusing on Deep Learning analysis. Nvidia claims it can replace “250 servers in-a-box”, where the cost of networking those servers reaches $50,000 on its own (network switches, cabling). ![]() Nvidia’s DRIVEKIT achieved #1 accuracy score, with the remaining 8 out of 9 systems all being GPU accelerated.ġ0:52 AM PDT: DGX-1 system is sold out, at a price of $129,000. Stay tuned to VR World for more updates from 2016 GPU Technology Conference.ġ1:03 AM PDT: Baidu introduces Self-driving Car Computer, based on Nvidia DRIVE PX 2 hardware platform.ġ0:58 AM PDT: Nvidia DRIVE PX AI Car Computer is designed to run between DRIVE PX 2, DGX-1 supercomputer and the actual vehicle, using partners such as Caffe, CNTK, KALDI, TensorFlow, Theano and Torch. ![]()
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