PLASTER: Bringing Deep Learning Inferencing to Millions of Servers

Artificial Intelligence, Features, Data Center, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted May 07 2018

At the GPU Technology Conference in Silicon Valley earlier this year, NVIDIA CEO Jensen Huang introduced a new acronym named PLASTER to address seven major challenges for delivering AI-based services: Programability, Latency, Accuracy, Size, Throu

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RESTful Inference with the TensorRT Container and NVIDIA GPU Cloud

Artificial Intelligence, Features, Cloud, Data Center, Machine Learning & Artificial Intelligence, TensorRT

Nadeem Mohammad, posted Dec 05 2017

Once you have built, trained, tweaked and tuned your deep learning model, you need an inference solution that you need to deploy to a datacenter or to the cloud, and you need to get the maximum possible performance.

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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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Alibaba’s AliCloud Partners with NVIDIA for Artificial Intelligence

News, Big Data & Data Mining, Cloud, Data Center, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Jan 21 2016

Alibaba Group’s cloud computing business, AliCloud, signed a new partnership with NVIDIA to collaborate on AliCloud HPC, the first GPU-accelerated cloud platform for high performance computing (HPC) in China.

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