Announcing AIRI: Industry’s First Integrated AI-Ready Infrastructure for Deploying Deep Learning at Scale

Announcing AIRI: Industry’s First Integrated AI-Ready Infrastructure for Deploying Deep Learning at Scale

Built on Pure Storage FlashBlade and NVIDIA DGX-1, AIRI Makes AI-at-Scale Simple and Accessible for All Enterprises

Pure Storage (NYSE: PSTG), the all-flash storage platform that helps innovators build a better world with data, has announced the industry’s first comprehensive AI-Ready Infrastructure, AIRI, powered by NVIDIA. Architected by Pure Storage and NVIDIA, AIRI is purpose-built to enable data architects, scientists and business leaders to extend the power of the NVIDIA DGX-1 and operationalize AI-at-scale for every enterprise. With AIRI, cloud, enterprise and government organizations can accelerate time-to-insight and bring new, impactful innovations to humanity, faster.

AIRI enables organizations to turn data into innovation at an unprecedented pace. AI represents an opportunity for enterprises to innovate not only at a product level, but within day-to-day operations as they lead their industries through periods of tremendous change. According to Gartner, 80 percent of enterprises will deploy AI by 2020. AIRI provides a simple, yet powerful, architecture that empowers organizations with the data-centric infrastructure needed to harness the true power of AI.

“AI has fantastic potential for aiding humanity,” said Charles Giancarlo, CEO, Pure Storage. “It has the capacity to significantly improve the quality of all of our lives. Safer autonomous vehicles will save tens of thousands of lives and make us more efficient. AI-driven advances in life sciences have made preventative healthcare a current reality rather than a vague future possibility. AI will provide highly personalized experiences for the consumer, while keeping online communities safer. AIRI will accelerate AI research, enabling innovators to more rapidly make advances to create a better world with data.”

Engineered as a fully integrated software and hardware solution by Pure Storage and NVIDIA, AIRI shatters infrastructure complexities that hold organizations back from deploying AI-at-scale. AIRI is powered by Pure Storage FlashBladeTM, the industry’s first storage platform architected for modern analytics and AI, and four NVIDIA DGX-1 supercomputers, delivering four petaFLOPS of performance with NVIDIA® Tesla® V100 GPUs. These systems are interconnected with Arista 100GbE switches, supporting GPUDirect RDMA for maximum distributed training performance. AIRI is supported by the NVIDIA GPU Cloud deep learning stack and Pure Storage AIRI Scaling Toolkit, enabling data scientists to jumpstart their AI initiatives in hours, not weeks or months.

“Businesses everywhere are scaling-up AI infrastructure to attack their most important challenges and opportunities,” said Jim McHugh, Vice President and General Manager of Deep Learning Systems at NVIDIA. “With AIRI, our customers get a validated approach that brings together industry-leading compute and high-performance storage with proven results.”

AIRI is the ultimate solution to empower data architects and scientists to deliver time-to-insight at scale. Every organization generates and stores troves of data. Now more than ever, innovators require additional insight from that information to make their businesses smarter.

“AI has evolved from hypothetical future technology to a business-critical strategic asset. There is increased adoption of AI across all verticals, driving new business models, sharper value propositions, more efficient processes, and personalized user experiences,” said Ritu Jyoti, Research Director, Infrastructure: Cognitive/AI and Big Data Analytics Workloads, IDC.  “Innovative technologies from Pure Storage and NVIDIA have enabled the accelerated adoption of AI, and together they provide organizations with an optimized, easy-to-use and robust solution for any AI workload.” ​

AIRI is available now through select reseller partners. Please visit our website for more information or join our webinar on May 9, 2018.

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