Unlike the consumer-oriented Titan X and the Titan Xp, the new Titan V is all about compute performance and with a price set at USA $2,999, it could be a popular solution for researchers and scientists looking to use that AI/ML power of the Volta GPU. Interestingly, we've actually seen this graphics card before thanks to a leak allegedly from an Nvidia intern in May.
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This Volta architecture features a major redesign of the streaming multiprocessor that is at the centre of the GPU.
Inside, the new TITAN V features 640 Tensor Cores that are turned for deep learning performance.
"With independent parallel integer and floating-point data paths, Volta is also much more efficient on workloads with a mix of computation and addressing calculations", Nvidia explained in a news release. Its combined L1 data cache and shared memory unit significantly improve performance while also simplifying programming.
With a claimed 110 teraflops of compute power delivered through its 21 billion transistors, 5,120 CUDS cores and 12GB of second-generation high bandwidth memory (HBM2), the Titan V is a significant step up from its predecessor, the Titan X, and Nvidia believes it should be able to handle AI simulation and modelling with suitable aplomb.
As you might expect, the TITAN V will be added to the NVIDIA GPU Cloud, which provides quick access to a fully optimized deep learning software stack to advance artificial intelligence (AI) development. This registry includes NVIDIA-optimized deep learning frameworks, third-party managed HPC applications, NVIDIA HPC visualization tools and the NVIDIA TensorRT inferencing optimizer.
Officially the Titan V is considered a consumer-grade GPU, and indeed Nvidia's first HBM2-equipped "consumer" graphics offering, but obviously it isn't aimed at your typical PC user (if anything will give you a clue about that, it's the three grand price tag).