NVIDIA GPU Cloud is now supercharged with Nine AI supercomputing containers

NVIDIA GPU Cloud (NGC) is now supercharged with nine AI supercomputing containers. The announcement at NVIDIA blog claimed that NGC has tripped the number of containers since its launch last year.

NGC now offers a total of 35 deep learning, high-performance computing, and visualization containers available to all of its users. Containers have dramatically changed the way applications and workloads are deployed in recent years. The AI workloads are now no exception to this trend. NGC gives AI researchers power by providing performance-engineered AI containers.

Installing frameworks is complicated and time-consuming. This limits AI researcher's ability to exploit new features from the frameworks. The complicated and time-consuming process of installing framework is now simplified with containers. Simple pull and run commands come in handy in using latest applications.

These containers support deep learning software such as TensorFlow, PyTorch, MXNet, TensorRT, and more. Pre-integrated, GPU-accelerated containers include NVIDIA CUDA Toolkit, NVIDIA deep learning libraries, and an operating system. NVIDIA has Tuned, tested, and certified these containers to run on select NVIDIA TITAN and NVIDIA Quadro GPUs, NVIDIA DGX Systems.

The complex deployment challenge also applies to HPC computing and visualization applications.

NGC now has nine additional HPC and visualization containers include CHROMA, CANDLE, PGI, and VMD. NGC already had eight containers including NAMD, GROMACS, and ParaView launched last year at Supercomputing conference.

The container for PGI compilers is also available on NGC. It helps in building HPC applications targeting multicore CPUs and NVIDIA Tesla GPUs. PGI compilers and tools enable development of performance-portable HPC applications using OpenACC, OpenMP, and CUDA Fortran parallel programming.

NGC already witness over 27000 registered users to access NGC container registry, the announcement said on NVIDIA blog.

These containers are tested on various systems for a smooth user experience.  GPU-powered workstations, NVIDIA DGX systems are tested. These containers are also tested with NVIDIA GPUs on cloud service providers, including Amazon Web Services, Google Cloud platform, and Oracle Cloud Infrastructure,