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Pure Storage, a leader in delivering innovative data storage technology and services, unveiled new AI infrastructure solutions and validated reference architectures developed in partnership with Nvidia at last week’s GTC conference. The announcement aims to provide enterprises with a proven framework for managing high-performance data and compute requirements necessary for successful AI deployments.
Miroslav Klivansky, Global Practice Leader for AI and Analytics at Pure Storage, recently discussed with VentureBeat the company’s strong partnership with Nvidia and its potential impact on enterprise adoption of artificial intelligence.
The partnership between Pure Storage and Nvidia comes at a critical juncture, as enterprises across industries increasingly embrace AI to drive innovation, improve operations, and gain competitive advantage. However, most AI deployments are currently scattered across fragmented data environments, which may hinder the full realization of AI’s potential. Pure Storage and Nvidia’s collaboration aims to address this challenge.
“Pure Storage has had a long-standing partnership with Nvidia,” Klivansky told VentureBeat. “In 2018, together with Nvidia, we launched AIRI, the first AI-ready infrastructure reference architecture, with the goal of enabling organizations to achieve better utilization and uptime and ultimately simplify their Measuring AI investments Since then, Pure Storage was among the first enterprise data storage vendors to become Nvidia DGX BasePOD certified.
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Simplifying the AI puzzle with validated reference architectures
Klivansky emphasized the importance of their collaboration with Nvidia, saying, “Today’s announcement is a testament to the ongoing, collaborative relationship with Nvidia to support enterprise AI deployments. As a leader in AI, Pure Storage, together with Nvidia, is arming global customers with proven solutions to meet high-performance data and compute needs, enabling them to achieve greater operational efficiency with faster model training and inference. with, required to run successful AI deployments, plus lower total cost and energy requirements.
One of the key solutions unveiled at GTC was the Retrieval Augmented Generation (RAG) pipeline for AI inference, which combines Nvidia GPUs for compute and Pure Storage’s all-flash enterprise storage. “Using Enhanced Generation to reclaim PureStorage’s data storage infrastructure, users can enhance standard Large Language Models (LLMs) with custom corporate data to make chatbots more relevant.” , to provide accuracy and currency and avoid the massive investment in building large custom language models,” Klevansky explained.
Expanding Choices with Nvidia OVX Server Storage Certification
Another important development announced at GTC was Pure Storage’s achievement of Nvidia OVX server storage certification. This certification provides customers with flexible storage reference architectures that are validated against key standards, ensuring a strong infrastructure foundation for cost- and performance-optimized AI hardware and software solutions.
“With the latest Nvidia OVX server storage validation, we can now provide enterprise customers and channel partners with flexible storage reference architectures, validated against key benchmarks to optimize AI hardware for cost and performance,” said Klivansky. and provide a strong infrastructure base for software solutions.” . “The OVX compute platforms are powered by Nvidia L40s GPUs, which means our customers now have a choice of verified reference architectures with more compute GPU platform options and availability than Pure Storage.”
Klivansky highlighted the unique benefits of Pure Storage’s solution, saying, “What differentiates Pure’s solution from competing solutions is Pure’s data storage platform, which is optimized for AI workloads. Pure’s FlashBlade/ /S delivers a combination of outstanding performance, operational efficiency, energy and cost savings, and a reliable, future-proof storage foundation that grows with changing AI data needs.
Vertical-specific AI solutions starting with finance
In addition to broader AI infrastructure solutions, Pure Storage and Nvidia are also focusing on developing vertical-specific AI applications. The first of these is Financial RAG using FinGPT, designed specifically for the finance industry.
Klewanski highlighted the proliferation of AI use cases specific to the finance industry at large enterprises, saying, “Recovery Augmented Generation (RAG) using generative AI and financial analysis using pre-trained LLMs. can be done that are more accurate, real-time/faster, and more cost-effective than human-made ones because they are able to process a lot of information at a much higher rate.”
The development of vertical-specific AI solutions demonstrates Pure Storage and Nvidia’s commitment to meeting the unique needs of various industries. By providing tailored AI applications, companies aim to accelerate the adoption of AI in sectors such as finance, healthcare, and the public sector.
Expanding AI Partner Ecosystem
Pure Storage’s dedication to meeting AI’s evolving data storage needs is further evidenced by its growing partner ecosystem. The company has partnered with leading AI platform providers such as Run.AI and Weights & Biases, as well as channel partners such as WWT, ePlus, CDW, and Insight.
“We’re excited to continue investing in our AI partner ecosystem with partners like Run.AI and Weights & Biases,” Kliwanski said. “Run.AI leverages Pure’s storage efficiency and energy efficiency value for AI infrastructure by optimizing the use of GPU-driven compute resources to accelerate development. Weights & Biases model construction and RAG Provides an easy-to-use framework for pipelines – which extend Pure’s data storage platform for AI, further bolstering operational efficiency and accelerating end-to-end ML workflows.”
Collaboration with these partners enables Pure Storage to offer a comprehensive and integrated AI solution stack, simplifying the deployment and management of AI infrastructure for enterprises. By leveraging the expertise of these partners, Pure Storage can deliver 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, the environmental impact of data centers has become a major concern. Pure Storage recognizes this challenge and has designed its storage platform to help customers reduce their energy consumption and carbon footprint.
“Pure designed and built its platform to enable customers to dramatically reduce their energy and carbon footprints,” explained Klivansky. “Pure Storage’s flash-optimized systems typically use between 2x and 5x less power than competing SSD-based systems and between 5x and 10x less power than hard disk systems.”
By providing energy-efficient storage solutions, Pure Storage enables enterprises to build a more sustainable AI infrastructure. This not only helps organizations meet their environmental goals, but also results in significant cost savings in terms of power, cooling and data center space.
Paving the way for the future of enterprise AI
As Klivansky said, “Pure Storage anticipated the needs and potential of AI at the start of this latest wave, enabling the industry to leverage and truly derive value from large volumes of high-performance, efficient, and There was a need to provide a container-ready storage platform for the data used to fuel this technology.
With its proven track record in providing advanced data storage solutions and commitment to innovation, Pure Storage is well-positioned to play a leading role in the ongoing AI revolution. The company’s dedication to meeting the unique data storage needs of AI workloads is evident in its continued efforts to develop innovative solutions and establish strategic partnerships.
“Over the years, Pure Storage has been at the forefront of innovation to meet the growing data storage needs of AI deployments,” said Klivansky. “Recognizing the challenge posed by fragmented data environments, Pure Storage launched an enterprise data storage platform to meet the unique needs of AI. Offering a simple, reliable and efficient storage platform, Pure Storage Storage enables enterprises to fully utilize the potential of AI while mitigating risks, reducing costs and reducing energy consumption.
The collaboration between Pure Storage and Nvidia is not only a testament to their shared vision for the future of AI, but also their commitment to enabling enterprises to unlock the full potential of this transformative technology. By providing a comprehensive and validated AI infrastructure solution, companies are helping organizations across industries accelerate their AI adoption journey and gain a competitive edge in an increasingly data-driven world.