Santa Clara, CA, USA, 13th November 2015. NVIDIA today announced an
end-to-end hyperscale data center platform that lets web-services
companies accelerate their huge machine
learning workloads.
The NVIDIA hyperscale accelerator line consists of two accelerators. One lets researchers more quickly innovate and design new deep neural networks for each of the increasing number of applications they want to power with artificial intelligence (AI). Another is a low-power accelerator designed to deploy these networks across the data center. The line also includes a suite of GPU-accelerated libraries.
Together, they enable developers to use the powerful Tesla Accelerated Computing drive machine learning in hyperscale data centers and create unprecedented AI-based applications.
"The artificial intelligence race is on," said Jen-Hsun Huang, co-founder and CEO of NVIDIA. "Machine learning is unquestionably one of the most important developments in computing today, on the scale of the PC, the internet and cloud computing. Industries ranging from consumer cloud services, automotive and health care are being revolutionized as we speak.
The NVIDIA hyperscale accelerator line consists of two accelerators. One lets researchers more quickly innovate and design new deep neural networks for each of the increasing number of applications they want to power with artificial intelligence (AI). Another is a low-power accelerator designed to deploy these networks across the data center. The line also includes a suite of GPU-accelerated libraries.
Together, they enable developers to use the powerful Tesla Accelerated Computing drive machine learning in hyperscale data centers and create unprecedented AI-based applications.
"The artificial intelligence race is on," said Jen-Hsun Huang, co-founder and CEO of NVIDIA. "Machine learning is unquestionably one of the most important developments in computing today, on the scale of the PC, the internet and cloud computing. Industries ranging from consumer cloud services, automotive and health care are being revolutionized as we speak.