Pure storagea pioneer in providing advanced data storage technology and services, unveiled a series of recent AI infrastructure solutions and validated reference architectures developed in collaboration with Nvidia on the GTC conference last week. The aim of the announcement was to offer organizations with proven frameworks to administer the powerful data and compute requirements required for successful AI implementations.
Miroslav Klivansky, Global Practice Leader for AI and Analytics at Pure Storage, recently discussed the corporate's strengthened partnership with Nvidia and its potential impact on the adoption of artificial intelligence in enterprises with VentureBeat.
The partnership between Pure Storage and Nvidia comes at a critical time, as do corporations across various industries increasing adoption of AI to drive innovation, optimize processes and gain a competitive advantage; However, most AI deployments are currently scattered across fragmented data environments, which might hinder the total realization of AI's potential. Pure Storage and Nvidia's collaboration goals to deal with this challenge head-on.
“Pure Storage has a long-standing partnership with Nvidia,” Klivansky told VentureBeat. “In 2018, in collaboration with Nvidia, we launched AIRI, the primary AI-ready infrastructure reference architecture designed specifically to enable organizations to realize higher utilization and uptime, ultimately scaling their AI investments without complexity. Since then, Pure Storage has been among the many first enterprise data storage providers to realize Nvidia DGX BasePOD certification.”
Simplifying the AI puzzle with validated reference architectures
Klivansky emphasized the importance of their collaboration with Nvidia, stating, “Today's announcement is a testament to this ongoing, collaborative relationship with Nvidia to support enterprise AI implementations.” As a frontrunner in AI, Pure Storage is partnering with Nvidia to equip global storage Provides customers with proven solutions to satisfy the powerful data and compute needs they should drive successful AI deployments with faster model training and inference and greater operational efficiency. plus lower overall costs and lower energy requirements.”
One of the important thing solutions presented at GTC was a Retrieval Augmented Generation (RAG) pipeline for AI inference that mixes Nvidia GPUs for data processing and Pure Storage's all-flash enterprise storage. “Using Pure Storage's data storage infrastructure for on-demand generation, customers can extend standard Large Language Models (LLMs) with custom enterprise data to present chatbots more relevance, accuracy and timeliness and the huge investment in constructing their very own custom large language avoid models,” Klivansky explained.
Expand your decisions with Nvidia OVX server storage certification
Another key development announced at GTC was Pure Storage achieving Nvidia OVX Server Storage certification. This certification provides customers with flexible storage reference architectures validated against key benchmarks, ensuring a sturdy infrastructure foundation for cost- and performance-optimized AI hardware and software solutions.
“With the most recent Nvidia OVX Server Storage validation, we will now offer enterprise customers and channel partners flexible storage reference architectures which are validated against key benchmarks to offer a robust infrastructure foundation for cost and performance optimized AI hardware and software solutions,” said Klivansky. “OVX compute platforms are powered by Nvidia L40s GPUs, meaning our customers now have the selection of validated Pure Storage reference architectures with greater options and availability of the compute GPU platform.”
Highlighting the unique advantages of the Pure Storage solution, Klivansky stated, “What sets the Pure solution other than competing solutions is Pure’s data storage platform optimized for AI workloads.” Pure’s FlashBlade//S offers a mix of leading performance , operational efficiency, energy and price savings, and a reliable, future-proof storage foundation that grows with changing AI data needs.”
Industry-specific AI solutions, starting with finance
In addition to broader AI infrastructure solutions, Pure Storage and Nvidia also deal with developing industry-specific AI applications. The first of those is a Financial RAG with FinGPT, which was developed specifically for the financial industry.
Highlighting the proliferation of monetary industry-specific AI use cases across large enterprises, Klivansky explained, “Generative AI using Retrieval Augmented Generation (RAG) and pre-trained LLMs may be used to provide financial analytics which are more accurate, real-time, and faster.” And they’re cheaper than those created by humans because they’re able to process rather more information at a much higher speed.”
Developing industry-specific AI solutions demonstrates Pure Storage and Nvidia's commitment to meeting the unique needs of various industries. By providing tailored AI applications, corporations aim to speed up the adoption of AI in sectors corresponding to finance, healthcare and the general public sector.
Expanding the AI partner ecosystem
Pure Storage's commitment to meeting the evolving data storage needs of AI can be demonstrated by its growing partner ecosystem. The company has partnerships with leading AI platform providers corresponding to: Run.AI And Weights and biasesin addition to sales partners corresponding to WWT, ePlus, CDW and Insight.
“We are excited to expand investments in our AI partner ecosystem with partners like Run.AI and Weights & Biases,” said Klivansky. “Run.AI complements Pure's storage performance and energy efficiency value for AI infrastructure by optimizing the usage of GPU-based computing resources to speed up development. Weights & Biases provides an easy-to-use model constructing framework and RAG pipelines – extending Pure’s data storage platform for AI, further increasing operational efficiency and accelerating end-to-end ML workflows.”
By collaborating with these partners, Pure Storage can offer a comprehensive and integrated AI solution stack that simplifies the deployment and management of enterprise AI infrastructure. By leveraging the expertise of those partners, Pure Storage can provide a seamless and optimized AI experience, from data storage to model development and deployment.
Enabling sustainable AI with energy efficient storage
As AI adoption continues to grow, the environmental impact of information centers has turn out to be a significant concern. Recognizing this challenge, Pure Storage has designed its storage platform to assist customers reduce their energy consumption and carbon footprint.
“Pure has designed and built its platform to enable customers to dramatically reduce their energy and carbon footprint,” explained Klivansky. “Pure Storage’s flash-optimized systems generally use between 2x and 5x less power than competing SSD-based systems and between 5x and 10x less power than the hard disk drive systems we replace.”
By providing energy-efficient storage solutions, Pure Storage enables corporations to construct a more sustainable AI infrastructure. This not only helps corporations achieve their environmental goals, but in addition ends in significant cost savings by way of power, cooling and data center space.
Paving the best way for the long run of enterprise AI
As Klivansky noted, “Pure Storage anticipated the needs and potential of AI at first of this latest wave and delivered the high-performance, efficient, container-ready storage platform the industry needed to capitalize on and truly value the huge volumes “from data that drives this technology.”
With its proven track record of delivering advanced data storage solutions and commitment to innovation, Pure Storage is well positioned to play a critical role in the continued AI revolution. The company's commitment to meeting the unique data storage needs of AI workloads is reflected in its continued efforts to develop progressive solutions and forge strategic partnerships.
“Over the past few years, Pure Storage has been on the forefront of innovation to satisfy the increasing data storage needs of AI implementations,” said Klivansky. “Pure Storage has recognized the challenge presented by fragmented data environments and has developed an enterprise data storage platform that meets the unique needs of AI. By providing an easy, reliable and efficient storage platform, Pure Storage enables corporations to understand the total potential of AI while mitigating risk, reducing costs and minimizing energy consumption.”
The collaboration between Pure Storage and Nvidia is just not only a testament to their shared vision for the long run of AI, but in addition an expression of their commitment to helping corporations realize the total potential of this transformative technology. By providing a comprehensive and validated AI infrastructure solution, the businesses help corporations across multiple industries speed up their journey to AI adoption and gain a competitive advantage in an increasingly data-driven world.
