Other details that NVIDIA is willing to share at this point include the fact that TITAN V has a new combined L1 data cache and a shared memory unit to improve overall performance. "We broke new ground with its new processor architecture, instructions, numerical formats, memory architecture and processor links", Nvidia founder and CEO Jensen Huang says in a statement.
TITAN V's Volta architecture features a major redesign of the streaming multiprocessor that is at the center of the GPU.
New Tensor Cores designed specifically for deep learning deliver up to 9x higher peak teraflops.
NVIDIA has surprised the world with the announcement of their next-gen TITAN V graphics card, a new card that rocks the latest Volta GPU architecture and 12GB of HBM2, culminating in a card that costs a whopping $2999.
The Volta architecture is also built to better handle workloads featuring a mix of computation and addressing calculations thanks to the inclusion of independent parallel integer and floating-point data paths. The latest release from this lineup is Titan V GPU, which is created to bring tons of power to the people who are interested in dealing with machine learning applications.
Now, NVIDIA is ready to unleash a completely new GPU aimed at researchers and scientists, the TITAN V. The card was fittingly announced at the Conference and Workshop on Neural Information Processing Systems (NIPS) in Long Beach, California. Instead, the TITAN V is priced at $2,999 and is available right now from the NVIDIA store.
Subscribe to the NVIDIA blog, follow us on Facebook, Google+, Twitter, LinkedIn and Instagram, and view NVIDIA videos on YouTube. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. The new TITAN V is based on the NVIDIA Volta architecture, and with that shift comes a very big leap in compute performance with certain workloads.
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