Adel El Hallak from NVIDIA
In this video from the GPU Technology Conference, Adel El Hallak and Philip Rogers from NVIDIA present: Simplifying AI, Data Science, and HPC Workloads with NGC.
Whether it’s for AI, data science and analytics, or HPC, GPU-Accelerated software can make possible the previously impossible. But it’s well known that these cutting edge software tools are often complex to use, hard to manage, and difficult to deploy. We’ll explain how NGC solves these problems and gives users a head start on their projects by simplifying the use of GPU-Optimized software. NVIDIA product management and engineering experts will walk through the latest enhancements to NGC and give examples of how software from NGC can improve GPU-accelerated workflows.”
NGC is the hub for GPU-optimized software for deep learning, machine learning, and HPC that takes care of all the plumbing so data scientists, developers, and researchers can focus on building solutions, gathering insights, and delivering business value. NGC provides a range of options that meet the needs of data scientists, developers, and researchers with various levels of AI expertise. Build models from scratch with framework containers, leverage model training scripts and pre-trained models to speedup projects, or use complete workflows for the fastest AI implementation. No matter which option you pick, you will experience a faster start and a faster time-to-solution.
NGC software runs on a wide variety of NVIDIA GPU-accelerated platforms, including on-prem NGC-Ready servers, NVIDIA DGX Systems, workstations with NVIDIA TITAN and NVIDIA Quadro GPUs, and top cloud platforms.
