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cashgazette.com June 28, 2017


Nvidia's 'GPU Cloud' Adopts Containers for AI Development

12 May 2017, 03:06 | Kristin Schwartz

"That would be an appropriate time to do it as AMD will be bringing out their highly anticipated Vega in Q3, and if it's as good as many people think it will be, Nvidia can push back with its GTX-based Volta".

Nvidia have just unveiled the first official Volta GPU, the professional-level Tesla V100, and if you want one you're going to have to fork out $3bn.

"With the need to embed more intelligence and automation into data analytics to address scientific and business challenges, artificial intelligence-based techniques are growing in importance". For deep learning inference, NVIDIA estimates a $15 billion TAM, and that its GPU acceleration solutions can achieve 10x faster real-time inferencing compared to traditional hyperscale servers. AI will change the very meaning of living systems as we envision them to be.

"As the artificial intelligence era takes hold, enterprises are increasingly adopting NVIDIA's GPU computing platform to generate insights from decades of untapped data", said Ian Buck, General Manager of Accelerated Computing at NVIDIA. 'It will automate intelligence and spur a wave of social progress unmatched since the industrial revolution.

Optimized and Integrated: The NGC Software Stack will provide a wide range of software, including: Caffe, Caffe2, CNTK, MXNet, TensorFlow, Theano and Torch frameworks, as well as the NVIDIA DIGITS™ GPU training system, the NVIDIA Deep Learning SDK (for example, cuDNN and NCCL), nvidia-docker, GPU drivers and NVIDIA® CUDA® for rapidly designing deep neural networks.

Called the Volta, the chip measures 815 sq mm and contains 21 billion transistors. It gives a usage-power amounting to 100 CPUs.

This translates to a processing unit that is five times as powerful as Pascal, Nvidia's current graphical architecture. To help increase yields, Nvidia is only selling Tesla V100 accelerator cards that have 80 or the 84 SMs on the GV100 chip activated, but in time, as yields improve with the 12 nanometer process, we expect for the full complement of SMs to be activated and the Volta chips to get a slight performance boost further from it. Thus NVIDIA is specializing and it still has a long way to go. The locations include Korea, Sydney, Grenoble, Bangalore and Houston and early access program for Volta-based NVIDIA Tesla SXM2 GPU systems powered with eight GPUs for selected customers in the fourth quarter of this year. While we're seeing wonderful advancement in technologies by Nvidia in the server computing sector, we're yet to see any announcements for consumer grade GPUs. It now has new cores instead of the old ones. Should Nvidia ditch the die space reserved for FP64 and tensor cores for FP32 in a future consumer product (Titan XV anyone?), the gaming potential would be massive.

Some rather extremely complex machinations exist in the intricate machinery of NVIDIA.

In the demo, the virtual Koenigsegg showed off various features of the advanced auto that has no gears and has a 1,200-horsepower electric drive that can go from zero to 250mph in 20 seconds. It deals in the best.



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