In this video from the GPU Technology Conference, Thierry Pellegrino describes how Dell EMC customers are applying HPC technologies to AI workloads. “I’ll just mention one of our customers, AeroFarms, who use a lot of our technology in order to bring the value of IoT into an environment where you can do machine learning, deep learning, artificial intelligence, and automatically grow crops in an environment that you would never think it would be possible.”
NVIDIA Announces DGX-2 as the “First 2 Petaflop Deep Learning System”
Today NVIDIA unveiled the NVIDIA DGX-2: the “world’s largest GPU.” Ten times faster than its predecessor, the DGX-2 the first single server capable of delivering two petaflops of computational power. DGX-2 has the deep learning processing power of 300 servers occupying 15 racks of datacenter space, while being 60x smaller and 18x more power efficient.
Princeton Team using Deep Learning to develop Fusion Energy
Over at the NVIDIA Blog, Tonie Hansen writes that Princeton researchers are using deep learning to help establish the feasibility of delivering fusion energy in the foreseeable future. “The Princeton team has scaled up the capabilities of its FRNN software using thousands of GPUs to train deep neural networks. After successfully running on 6,000 Tesla K20 GPUs on Oak Ridge National Laboratory’s Titan supercomputer, FRNN has recently demonstrated the ability to scale to 3,000 NVIDIA Tesla P100 GPUs on Japan’s new TSUBAME-3 supercomputer at the Tokyo Institute of Technology.”
GPU Technology Conference Returns to San Jose March 26-29
NVIDIA will host thousands of the world’s leading AI experts at its ninth annual GPU Technology Conference (GTC) on March 26-29 in San Jose, California. “GTC is where the world’s leading researchers and business leaders learn how to harness the power of AI,” said Greg Estes, vice president of Developer Programs at NVIDIA. “As GPU computing continues to drive the AI revolution, GTC is where you’ll see the future take shape.”
Call for Participation: GTC 2018 in San Jose
The GPU Technology Conference (GTC 2018) has issued their Call for Participation. The event takes place March 26-29 in San Jose, California. “Don’t miss this unique opportunity to participate in the world’s most important GPU event, NVIDIA’s GPU Technology Conference (GTC 2018). Sign up to present a talk, poster, or lab on how GPUs power the most dynamic areas in computing today—including AI and deep learning, big data analytics, healthcare, smart cities, IoT, HPC, VR, and more.”