NVIDIA SDK Updated With New Releases of TensorRT, CUDA, and More

Accelerated Computing, Artificial Intelligence, Features, Robotics, Cloud, CUDA, cuDNN, Higher Education/Academia, Machine Learning & Artificial Intelligence, TensorRT, Tesla

Nadeem Mohammad, posted Dec 06 2017

At NIPS 2017, NVIDIA announced new software releases for deep learning and HPC developers.  The latest SDK updates include new capabilities and performance optimizations to TensorRT, CUDA toolkit and the new project CUTLASS library.

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How Jet.com Built a GPU-Powered Fulfillment Engine with F# and CUDA

Accelerated Computing, CUDA, Retail/Etail

Nadeem Mohammad, posted Nov 30 2017

Have you ever looked at your shopping list and tried to optimize your trip based on things like distance to store, price, and number of items you can buy at each store?

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New PGI Community Edition Now Available

Accelerated Computing, Computational Fluid Dynamics (CFD), OpenACC, Tesla

Nadeem Mohammad, posted Nov 28 2017

PGI Compilers & Tools are used by scientists and engineers developing applications for high-performance computing (HPC).

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Google Cloud Lowers the Price of NVIDIA Tesla GPUs

Accelerated Computing, Artificial Intelligence, Cloud, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Nov 21 2017

Google announced they are cutting the price of NVIDIA Tesla GPUs in the cloud by up to 36 percent.

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Maximizing Unified Memory Performance in CUDA

Accelerated Computing, CUDA, Tesla

Nadeem Mohammad, posted Nov 20 2017

Many of today’s applications process large volumes of data. While GPU architectures have very fast HBM or GDDR memory, they have limited capacity. Making the most of GPU performance requires the data to be as close to the GPU as possible.

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Simplify the Deployment of HPC Applications with NVIDIA GPU Cloud

Accelerated Computing, Artificial Intelligence, Features, Cloud, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Nov 14 2017

NVIDIA announced the availability of HPC application and visualization containers on NVIDIA GPU Cloud (NGC).

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A New STAC-A2 Record

Accelerated Computing, Data Center, Financial Services, Tesla

Nadeem Mohammad, posted Nov 13 2017

The results are in, and GPUs are still the fastest solution on the planet for financial risk management. This is according to the latest STAC-A2 audited test results.

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Connect with NVIDIA at Supercomputing 2017

Accelerated Computing, Artificial Intelligence

Nadeem Mohammad, posted Nov 10 2017

Join NVIDIA at SC17 in Denver, Colorado to learn how GPU-accelerated computing is changing the very definition of the word possible.

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High-Performance GPU Computing in the Julia Programming Language

Accelerated Computing, CUDA, cuDNN

Nadeem Mohammad, posted Oct 26 2017

Julia is a high-level programming language for mathematical computing that is as easy to use as Python, but as fast as C.

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Build, Train and Deploy AI in the Cloud with NVIDIA GPU Cloud

Accelerated Computing, Artificial Intelligence, Features, Cloud, CUDA, cuDNN, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Oct 26 2017

NVIDIA just announced the NVIDIA GPU Cloud (NGC) — a GPU-accelerated cloud platform that makes it easy to get started with the top deep learning frameworks on-premises or on Amazon Web Services.

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