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| Rob Lee, VP and Chief Architect, Pure Storage, discusses Pure Storage value propositions. |
Pure Storage, the all-flash storage platform that helps innovators build a better world with data, is championing the concept of data-centric organisations.
The company is holding Pure Live, its annual customer event for the region, in Singapore. This is the third year Pure is running Pure Live in Asia Pacific and Japan (APJ), and is a strong signal of Pure’s continued momentum in the region.
Pure doubled the number of net new customers over the past 12 months and continues to lead in its industry segments according to Gartner and IDC.
The company says organisations achieve competitive advantage and growth through intelligence from data. This requires a modern foundation to optimally store, share, and analyse data in a multicloud world, one that transforms data centres so that they become data-centric.
“Data is now the new currency, and modern businesses need to place data at the core of their IT strategy in order to fully leverage advanced technology such as artificial intelligence and machine learning,” said David Wirt, VP, ASEAN and Greater China, Pure Storage.
“Pure Storage provides a data-centric architecture that helps organisations spend less time moving data and more time innovating, and ultimately deliver data-driven results in real-time.”
Pure Storage has unveiled new data-centric solutions for enterprises:
The new FlashArray//X product line is the first family of all-flash arrays purpose-built for shared accelerated storage. The all-NVMe FlashArray//X family makes everything faster – databases, virtualised environments, test/dev initiatives and web-scale applications – at no additional cost.
The line features five configurations – from the NVMe-ready //X10 and //X20 to the all-NVMe //X50, //X70, and //X90, Pure’s densest, fastest array to-date. Rob Lee, VP and Chief Architect, Pure Storage, notes that the new family offers up to 4x faster bandwidth, and is 2x faster than the previous generation of all-flash arrays. "It makes everything faster and priced for mainstream adoption," he said.
Pure Service Orchestrator delivers container storage-as-a-service to empower IT and developers as they deploy container-based, microservices applications. Pure Service Orchestrator equips customers with self-managed storage that drives data-centric architecture with public cloud-like agility on-premises, backed by all-flash speeds and enterprise reliability."You don't have to be worried about storage delivery," Lee said. "It's self tuning, auto scaling and self healing."
AIRI Mini, powered by NVIDIA, the leader in accelerated computing for AI, expands Pure’s AI-Ready Infrastructure offerings. Built on FlashBlade, AIRI is designed to extend the power of the NVIDIA DGX-1 AI supercomputer and help companies operationalise AI earlier.
"We help customers earlier in their AI journey," Lee said, explaining that resources, talent and infrastructure are holding companies back from investing in AI. "The less time they can spend on infrastructure the more time they can spend doing data science."
AIRI Mini enables new data science teams and new projects to get up and running quickly with infrastructure purpose-built for the challenges of AI, at a price point that is "accessible for virtually any enterprise", the company said, and which promises a "zero to AI experience in a matter of minutes".
Pure Storage also announced results from its MIT Technology Review survey. The data, gathered from more than 2,300 business leaders across the globe, reveals concerns still exist about the adoption of AI including around cost, data infrastructure, talent resources and ethics.
According to the survey:
- Eighty-five percent of leaders in APJ and 92% in Singapore believe AI is important for analytics, greater efficiency and reducing human error
- In Singapore, the top three benefits of AI are increased efficiency, increased automation, and enhanced decision-making
- Eight in 10 (81%) in APJ and 78% in Singapore believe human intelligence is required to interpret data and make decisions
- Nine in 10 of businesses in Singapore say they face challenges in digesting, analysing and interpreting large volumes of data, compared to 77% in APJ
- Nearly six in 10 (58%) Singapore businesses cite the lack of resources and talents as a barrier to better management of data and AI adoption
Singapore leaders also named other top barriers to AI adoption as data infrastructure (62%) and cost (58%).
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