Video: Accelerating Ai Outcomes with the NVIDIA DGX Reference Architecture

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Jacques Bessoudo from NVIDIA

In this video from DDN booth at SC18, Jacques Bessoudo from NVIDIA presents: Accelerating Ai Outcomes with the NVIDIA DGX Reference Architecture.“

DDN is focused on solutions that enable customers to radically accelerate their AI and Machine Learning initiatives to gain competitive advantage sooner and to scale flexibly,” said James Coomer, vice president of product management at DDN. “We have taken a holistic approach to this solution, ensuring that the DGX platform is maximally utilized and that customers can extract deeper insights more quickly.”

Early in 2018, DDN announced EXAScaler DGX, a unique solution that delivers leading-edge performance using a new optimized, accelerated client integrating tightly and seamlessly with the NVIDIA DGX Architecture. Using the EXAScaler ES14KX high-performance all-flash array, the new solution smashed existing records by demonstrating a massive 33GB/s of throughput to a single NVIDIA DGX-1.

By supplying this groundbreaking level of performance, DDN enables customers to greatly accelerate their Machine Learning initiatives, reducing load wait times of large datasets to mere seconds for faster training turnaround. The DDN EXAScaler family of products, along with the EXAScaler DGX Solution provides a purpose-built platform uniquely tuned to the needs and characteristics of data flows found in AI and Machine Learning workloads. EXAScaler further improves the flexibility of the AI datacenter by allowing massive ingest rates and cost-effective capacity scaling.

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