Nvidia Goes All in for AI With New Volta Architecture

Nvidia Goes All in for AI With New Volta Architecture
NVIDIA-Telsa-V100 Volta

Nvidia has been working to make its GPUs increasingly friendly to AI applications, but its new Volta architecture takes that to a much higher level with a newly designed Tensor Core.

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Nvidia Goes All in for AI With New Volta Architecture

(image)

Nvidia has been working to make its GPUs increasingly friendly to AI applications, but its new Volta architecture takes that to a much higher level with a newly designed Tensor Core.

The post appeared first on .

Nvidia Goes All in for AI With New Volta Architecture

Nvidia’s vision for deep learning AI: Is there anything a computer can’t do?

Nvidia’s vision for deep learning AI: Is there anything a computer can’t do?
Nvidia's Jen-Hsun Huang announcing the DGX-1 at GTC 2016
It is starting to seem like with fast enough hardware, nearly any repetitious task can be learned by a computer or robot. Nvidia is working to make sure that whenever it happens, it’s powered by Nvidia.

Nvidia’s vision for deep learning AI: Is there anything a computer can’t do?

(image)
It is starting to seem like with fast enough hardware, nearly any repetitious task can be learned by a computer or robot. Nvidia is working to make sure that whenever it happens, it’s powered by Nvidia.
Nvidia’s vision for deep learning AI: Is there anything a computer can’t do?

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IBM’s resistive computing could massively accelerate AI — and get us closer to Asimov’s Positronic Brain

IBM’s resistive computing could massively accelerate AI — and get us closer to Asimov’s Positronic Brain
AI artificial intelligence neural networks
Neural networks have enabled a revolution in machine learning. IBM researchers show how resistive computing can be used to make them massively more powerful.

IBM’s resistive computing could massively accelerate AI — and get us closer to Asimov’s Positronic Brain

(image)
Neural networks have enabled a revolution in machine learning. IBM researchers show how resistive computing can be used to make them massively more powerful.
IBM’s resistive computing could massively accelerate AI — and get us closer to Asimov’s Positronic Brain

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