In this video from the GPU Technology Conference, Peter Lilian from NVIDIA describes how the company works with Dell EMC to deliver extreme performance solutions for the Energy sector. “Dell EMC and NVIDIA have expanded their collaboration by signing a new strategic agreement to include joint product development of new products and solutions that address the burgeoning workload and datacenter requirements, with GPU-accelerated solutions for HPC, data analytics, and artificial intelligence.”
Penguin Computing Launches NVIDIA Tesla V100-based Servers
Today Penguin Computing announced strategic support for the field of artificial intelligence through availability of its servers based on the highly-advanced NVIDIA Tesla V100 GPU accelerator, powered by the NVIDIA Volta GPU architecture. “Deep learning, machine learning and artificial intelligence are vital tools for addressing the world’s most complex challenges and improving many aspects of our lives,” said William Wu, Director of Product Management, Penguin Computing. “Our breadth of products covers configurations that accelerate various demanding workloads – maximizing performance, minimizing P2P latency of multiple GPUs and providing minimal power consumption through creative cooling solutions.”
NVIDIA Powers Top 13 Most Energy Efficient Supercomputers
Today Nvidia announced that the NVIDIA Tesla AI supercomputing platform powers the top 13 measured systems on the new Green500 list of the world’s most energy-efficient high performance computing systems. All 13 use NVIDIA Tesla P100 data center GPU accelerators, including four systems based on the NVIDIA DGX-1 AI supercomputer. “NVIDIA also released performance data illustrating that NVIDIA Tesla GPUs have improved performance for HPC applications by 3X over the Kepler architecture released two years ago. This significantly boosts performance beyond what would have been predicted by Moore’s Law, even before it began slowing in recent years.”
Podcast: Marc Hamilton on how Volta GPUs will Power Next-Generation HPC and AI
In this podcast, Marc Hamilton from Nvidia describes how the new Volta GPUs will power the next generation of systems for HPC and AI. According to Nvidia, the Tesla V100 accelerator is the world’s highest performing parallel processor, designed to power the most computationally intensive HPC, AI, and graphics workloads.
Nvidia Unveils GPUs with Volta Architecture
This week at the GPU Technology Conference, Nvidia CEO Jensen Huang Wednesday launched Volta, a new GPU architecture that delivers 5x the performance of its predecessor. “Over the course of two hours, Huang introduced a lineup of new Volta-based AI supercomputers including a powerful new version of our DGX-1 deep learning appliance; announced the Isaac robot-training simulator; unveiled the NVIDIA GPU Cloud platform, giving developers access to the latest, optimized deep learning frameworks; and unveiled a partnership with Toyota to help build a new generation of autonomous vehicles.”
Video: Nvidia Unveils ARM-Powered SoC with Volta GPU
Today at GTC Europe, Nvidia unveiled Xavier, an all-new SoC based on the company’s next-gen Volta GPU, which will be the processor in future self-driving cars. According to Huang, the ARM-based Xavier will feature unprecedented performance and energy efficiency, while supporting deep-learning features important to the automotive market. A single Xavier-based AI car supercomputer will be able to replace today’s fully configured DRIVE PX 2 with two Parker SoCs and two Pascal GPUs.