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NVIDIA HGX-2 Ai Supercomputer Comes to Oracle Cloud Infrastructure

Today Oracle announced support for the NVIDIA HGX-2 platform on Oracle Cloud Infrastructure. Designed to meet the needs of the next generation of analytics, machine learning, and AI, Oracle is offering GPU-accelerated deep learning and HPC containers from the NVIDIA GPU Cloud container registry.

We are very excited about this collaboration with NVIDIA. As the world of computing continues to push the boundaries of what’s possible, we are providing our customers with the software, tools and cloud infrastructure needed to solve the most complex challenges,” said Clay Magouyrk, senior vice president, software development, Oracle Cloud Infrastructure. “Whether you are an engineer, data scientist, researcher or developer, we are bringing the power of compute and cloud to your fingertips.

From enabling autonomous vehicles to driving global climate simulations, rapid progress in AI and HPC has transformed entire industries while also demanding massive increases in complexity and compute power. HGX-2 is designed for multi-precision computing to accelerate the most demanding applications by unleashing 2 petaflops of computing power and half a terabyte of total GPU memory with 16 NVIDIA Tesla V100 Tensor Core GPUs interconnected with NVSwitch. Supporting HGX-2 on both Oracle Cloud Infrastructure bare-metal and virtual machine instances, Oracle and NVIDIA are helping customers solve the greatest AI and HPC challenges for the most complex workloads.

Oracle is also announcing support for RAPIDS open-source software introduced today by NVIDIA for executing end-to-end data science training pipelines accelerated on NVIDIA GPUs. RAPIDS will be available this week on Oracle Cloud Infrastructure via NGC. RAPIDS dramatically accelerates data science pipelines by moving workflows onto the GPU. This optimizes machine learning training with more iterations for better model accuracy. Data scientists can quickly integrate RAPIDS with hassle-free integration and minimal code changes, enabling them to significantly accelerate the Python data science toolchain. With this new offering and support for NGC containers, Oracle and NVIDIA are allowing customers to easily deploy containerized applications and frameworks for HPC, data science and AI and run them seamlessly on Oracle Cloud Infrastructure.

Oracle Cloud Infrastructure is also working with NVIDIA to support RAPIDS across its platform, including the Oracle Data Science Cloud, to further accelerate customers’ end to-end data science workflows. RAPIDS software runs seamlessly on the Oracle Cloud, allowing customers to support their HPC, AI and data science needs, all while taking advantage of the portfolio of GPU instances available on Oracle Cloud Infrastructure.

This new collaboration with Oracle will help fuel incredible innovation across a wide range of industries,” said Ian Buck, vice president and general manager of Accelerated Computing at NVIDIA. “By taking advantage of NVIDIA’s latest technologies, Oracle is well positioned to meet surges in demand for GPU acceleration for deep learning, high-performance computing, data analytics and machine learning.”

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