Tech

Nvidia launches Titan V desktop GPU to accelerate AI computation

Nvidia launches Titan V desktop GPU to accelerate AI computation

This card, which is based on Nvidia's Volta architecture, features 21.1 billion transistors on a 815 mm chip that can produce a full 110 teraflops of compute power.

It's a big step forward, and one that we hope will reflect an equally large stride to be taken when more affordable consumer and gaming-targeted Volta cards hit the market. Hopefully though, this is still an indication of the performance we can expect when Nvidia decides to refresh its gaming GPU lineup.

As it features the fully-enabled GV100 GPU, the Titan V also comes with 640 Tensor Cores, delivering over 100 TFLOPs of deep learning performance, something that Nvidia has been pushing quite hard these days.

The Titan V is fabricated using the 12-nm manufacturing process and is focused on artificial intelligence (AI) and scientific simulation processing. It doubles the energy efficiency of the previous generation Pascal design, enabling dramatic boosts in performance in the same power envelope, Nvidia claims.

Nvidia cards are the de facto standard for running machine learning workloads and today, the company added yet another high-end compute-centric card to its line-up: the Titan V.

More news: North Korea FM: US Threats Make War Unavoidable

NVIDIA has unveiled the Titan V, a new desktop GPU that's been created to bring massive amounts of power to those working on machine learning applications.

Nvidia founder and CEO Jensen Huang said in a statement -"Our vision for Volta was to push the outer limits of high performance computing and AI".

Well, it's possible. I already mentioned that I did not see an SLI connectors on the card, and made a comment about NVLINK, indeed the card has NVLINK Bridge connectors, which is a fundamental change, but also price. NGC provides customers with software containers that include optimized versions of popular machine learning development frameworks that are supposed to provide an even more optimized environment for developing AI.

Nvidia released its Volta-based Tesla V100 data centre GPU in the middle of 2017, and has announced that the Volta architecture is being used for GPUs in several upcoming supercomputers for research facilities.


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