Google Cloud Platform Packs Nvidia GPUs For Deep Learning Algorithms

Google has made access to Nvidia graphics cards available on its Compute Engine and Cloud Machine Learning platforms, enabling users to access additional computational horsepower for training smart software and artificial intelligence (AI).

Users of the Google Cloud Platform (GCP) will be able to tap into the parallel processing capabilities of Nvidia’s Tesla K80 graphics processing units (GPUs) by spinning up virtual machines in the us-east1, asia-east1 and europe-west1 regions of the GCP.

Offering such a service helps avoid the need for companies working on software and systems that use machine and deep learning algorithms to have GPU clusters in their own data centres.

“As always, you only pay for what you use. This frees you up to spin up a large cluster of GPU machines for rapid deep learning and machine learning training with zero capital investment,” said Google’s product manager John Barrus.

Powering deep learning

The training of deep learning neural networks, essentially artificial versions of how the human brain disseminates and processes data, requires s mass of data to be crunched and analysed.

Traditional central processing units (CPUs) can do this but there lack the through put of GPUs and their parallel processing that enables masses of data to be hauled through a deep learning neural network. If a CPU provides a single pipe for complex processing, GPUs offer a array of piles for higher data throughput but less complex processing.

With each K80 sporting 2,496 stream processors and 12GB of GDDR5 memory, the graphics cards are more than suitable at supporting the training of deep learning algorithms which can then be used to create smart software and at the moment basic AI, as seem with the Google Assistant found in the search company’s Pixel smartphones.

The instances being supported by the GCP allow for the use of deep learning frameworks such as TensorFlow, Theano, Torch, MXNet, Caffe, and Nvidia’s own CUDA software for building GPU-accelerated applications.

Google is not alone in providing cloud-powered deep learning systems, with Amazon Web Services offering its own machine-learning-as-a-service suite, hot on the heels of Microsoft’s Azure powered machine learning platform.

Put your knowledge of artificial intelligence (AI) to the test. Try our quiz!

Roland Moore-Colyer

As News Editor of Silicon UK, Roland keeps a keen eye on the daily tech news coverage for the site, while also focusing on stories around cyber security, public sector IT, innovation, AI, and gadgets.

Recent Posts

Amazon Workers In North Carolina Reject Unionisation

Workers at Amazon warehouse near Raleigh vote against joining union, as company continues to challenge…

12 hours ago

China President Xi Meets With Top Tech Leaders

High-profile meeting with tech leaders seen as signal China is boosting tech sector after years…

12 hours ago

South Korea To Buy 10,000 GPUs For National AI Hub

South Korea hopes to gain leg up in international AI race with infusion of private…

13 hours ago

BYD, Geely, Great Wall Add DeepSeek AI To EVs

Chinese electric vehicle giants rush to incorporate DeepSeek AI tech to cars after it creates…

13 hours ago

South Korea Suspends DeepSeek From App Stores

South Korean data authority suspends Chinese AI start-up DeepSeek from Apple, Google app stores while…

14 hours ago

Google Puts ‘Profits Over Privacy’ With Tracking Change

Privacy advocates criticise Google over decision to allow companies to track users via digital fingerprints,…

14 hours ago