US Postal Service Hires Nvidia AI in order to improve Delivery systems

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US Postal Service Hires Nvidia AI in order to improve Delivery systems
US Postal Service Hires Nvidia AI in order to improve Delivery systems

November 6, 2019 – NVIDIA today announced that the United States Postal Service – the world’s largest postal service, processed and distributed daily with 485 million mail pieces – end with NVIDIA to improve its package data processing efficiency -Too-end AI is adopting the technology.

The new system starts with high-performance servers powered by NVIDIA V100 Tensor Core GPUs and intensive learning software to train multiple AI algorithms.

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The then trained model NVIDIA EGX Edge Computing System in the U.S. More than 200 postal services are deployed across facilities to enable a more efficient package processing process.

US Postal Service Hires Nvidia AI in order to improve Delivery systems
US Postal Service Hires Nvidia AI in order to improve Delivery systems

Systems operated by NVIDIA are being purchased by the Postal Service under a contract with Hewlett Packard Enterprise.

“AI is transforming many industries; processes, accuracy, and efficiency have not been possible before,” said Anthony Robbins, vice president of Federal Sector Business at NVIDIA.

“The US Postal Service’s adoption of AI shows that this powerful technology can improve an excellent service that we rely on every day. Benjamin Franklin would be proud.”

The postal service handles mail, processing, and delivery of 146 billion pieces per year, the world’s largest volume logistics operation, with over 6 billion packages. The new AI system package will process data 10x faster and with higher accuracy.

Engineering teams from the Postal Service and NVIDIA have been collaborating for several months to develop AI models, using NVIDIA software including TensorRT for high-throughput, low-latency estimation optimization; Automated mixed precision in PyTorch to accelerate training while maintaining model accuracy; NGC containers, which are GPU-optimized to streamline software deployment; And DeepOps tool for optimizing GPU clusters.

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Distribution and testing of the system will begin this year and by 2020 it will be fully operational.

About NVIDIA

GPU’s invention of the GPU in 1999 spurred the growth of the PC gaming market, redefined modern computer graphics and revolutionized parallel computing.

Recently, GPU intensive education ignited modern AI – the next era of computing – with GPUs acting as the brains of computers, robots, and self-driving cars that can see and understand the world.

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