As a data scientist, I’m constantly amazed at all the new and exciting tools at my disposal to perform my data duties. Advances in algorithms, software frameworks, and hardware are making tasks once thought impossible, now commonplace. That’s why I perked up when I saw the new announcement from NVIDIA introducing the TITAN V, an incredibly powerful GPU for the PC, driven by an advanced GPU architecture, NVIDIA Volta.
Announced by NVIDIA founder and CEO Jensen Huang at the annual NIPS conference, TITAN V excels at computational processing for scientific simulation. Its 21.1 billion transistors deliver 110 teraflops of raw horsepower, 9x that of its predecessor, and extreme energy efficiency.
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.”
NVIDIA Supercomputing GPU Architecture, Now for the PC
TITAN V’s Volta architecture features a major redesign of the streaming multiprocessor that is at the center of the GPU. It doubles the energy efficiency of the previous generation Pascal™ design, enabling dramatic boosts in performance in the same power envelope.
New Tensor Cores designed specifically for deep learning deliver up to 9x higher peak teraflops. 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. Its new combined L1 data cache and shared memory unit significantly improve performance while also simplifying programming.
Fabricated on a new TSMC 12-nanometer FFN high-performance manufacturing process customized for NVIDIA, TITAN V also incorporates Volta’s highly tuned 12GB HBM2 memory subsystem for advanced memory bandwidth utilization.
Free AI Software on NVIDIA GPU Cloud
TITAN V’s incredible power is ideal for developers who want to use their PCs to do work in AI, deep learning and high performance computing. This setup is ideal for doing computer vision experimentation with convolutional neutral networks (CNNs) with frameworks like TensorFlow.
Users of TITAN V can gain immediate access to the latest GPU-optimized AI, deep learning and HPC software by signing up at no charge for an NVIDIA GPU Cloud account (I recently signed up for this service and was immediately impressed with the convenience it affords data scientists). This container registry includes NVIDIA-optimized deep learning frameworks, third-party managed HPC applications, NVIDIA HPC visualization tools and the NVIDIA TensorRT™ inferencing optimizer.
TITAN V is available to purchase today for $2,999 from the NVIDIA store in participating countries.
Contributed by Daniel D. Gutierrez, Managing Editor and Resident Data Scientist for insideAI News. In addition to being a tech journalist, Daniel also is a consultant in data scientist, author, educator and sits on a number of advisory boards for various start-up companies.
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