MITB Banner

Watch More

Introducing Titan V By NVIDIA, That Delivers Highly Efficient Deep Learning Computing

The US Headquartered NVIDIA, which is considered a world leader in visual computing technologies introduced TITAN V, which the company claims to be the most powerful GPU for the PC, driven by the world’s most advanced GPU architecture, NVIDIA Volta.

The announcement which was made at the company’s annual conference, NIPS, by CEO Jensen Huang, suggests that TITAN V excels at computational processing for scientific simulations and its 21.1 billion transistors can deliver 110 teraflops of raw horsepower. It is 9x that of its predecessor, and is extremely energy efficient.

“Our vision for Volta was to push the outer limits of high performance computing and AI. We broke new ground with its new processor architecture, instructions, numerical formats, memory architecture and processor links,” said Huang. “With TITAN V, we are putting Volta into the hands of researchers and scientists all over the world. I can’t wait to see their breakthrough discoveries.”

Some of its unique features:

Particularly useful for developers who want to use their PCs for work around AI, deep learning and high performance computing, TITAN V’s Volta architecture, doubles the energy efficiency of the previous generation Pascal™ design, enabling dramatic boosts in performance in the same power envelope.

The New Tensor Cores are designed specifically for deep learning and delivers up to 9x higher peak teraflops. Volta is also much more efficient on workloads including computation and addressing calculations, as it comes with independent parallel integer and floating-point data paths. Its new combined L1 data cache and shared memory unit significantly improve performance while also simplifying programming.

It is fabricated on a new TSMC 12-nanometer FFN high-performance manufacturing process customised for NVIDIA, and incorporates highly tuned 12GB HBM2 memory subsystem for advanced memory bandwidth utilisation.

TITAN V can gain immediate access to the latest GPU-optimised AI, deep learning and HPC software by signing up at no charge for an NVIDIA GPU Cloud account. It is available at $2,999 from the NVIDIA store across the participating countries.

Access all our open Survey & Awards Nomination forms in one place >>

Picture of Srishti Deoras

Srishti Deoras

Srishti currently works as Associate Editor at Analytics India Magazine. When not covering the analytics news, editing and writing articles, she could be found reading or capturing thoughts into pictures.

Download our Mobile App

CORPORATE TRAINING PROGRAMS ON GENERATIVE AI

Generative AI Skilling for Enterprises

Our customized corporate training program on Generative AI provides a unique opportunity to empower, retain, and advance your talent.

3 Ways to Join our Community

Telegram group

Discover special offers, top stories, upcoming events, and more.

Discord Server

Stay Connected with a larger ecosystem of data science and ML Professionals

Subscribe to our Daily newsletter

Get our daily awesome stories & videos in your inbox
Recent Stories