Pure Storage has teamed up with Nvidia to enhance data storage for AI models on Nvidia’s AI Data Platform, ensuring that existing and new FlashBlade users can benefit. The newly announced FlashBlade//EXA architecture offers improved performance and capacity while remaining compatible with Nvidia’s systems. This integration allows enterprises to provide real-time data to AI agents, resulting in better customer service and increased efficiency. Pure has earned certifications from Nvidia, confirming FlashBlade as high-performance storage ideal for AI applications. The collaboration also supports the FlashStack system, streamlining connections with Nvidia’s AI Data Platform and meeting the storage needs of both small and large-scale AI projects.
Pure Storage Partners with Nvidia for Enhanced AI Data Storage Solutions
Pure Storage has teamed up with Nvidia to improve data storage capabilities for AI models that run on Nvidia’s AI Data Platform. This collaboration aims to provide users with fast and efficient storage solutions.
FlashBlade and AI Data Platform Integration
Recently, Pure introduced its FlashBlade//EXA technology, which allows users to scale both performance and capacity beyond their current offerings. Importantly, this technology is compatible with Nvidia’s AI Data Platform, making it easier for FlashBlade users to integrate with Nvidia’s advanced technologies. With this integration, data can be transferred seamlessly through various networking and AI services.
Rob Davis, Nvidia’s Vice President for Storage Networking Tech, mentioned that this integration helps businesses access real-time data for AI applications. This can significantly enhance customer service and operational productivity.
Nvidia-Certified Storage Partner
Pure Storage’s FlashBlade has now been recognized as a high-performance storage (HPS) platform within Nvidia’s Partner Network. It has achieved certifications at both Foundation and Enterprise levels, which means it can effectively support smaller AI models and more extensive AI systems alike. This recognition validates Pure’s technology for large-scale AI deployments and massive datasets.
Supporting Converged Systems
In addition, Pure offers support for the FlashStack system, a collaborative effort with Cisco to create a more integrated solution for AI data demands. This partnership opens avenues for their customers to efficiently connect with Nvidia’s AI Data Platform.
Pure’s CTO, Rob Lee, emphasized that this partnership enhances the AI-ready storage solutions that customers require. He believes that the recent certifications from Nvidia confirm Pure Storage’s commitment to meet the needs of AI technology.
In summary, the collaboration between Pure Storage and Nvidia presents an exciting opportunity for companies looking to leverage AI in their operations, providing robust and scalable storage solutions for their data needs.
What is the latest update from Pure Storage regarding AI?
Pure Storage has announced that it has expanded its AI capabilities with a new certification from Nvidia. This will help improve how businesses use AI technology in their operations.
How does this certification benefit users?
The Nvidia certification means that Pure Storage’s products are now officially recognized for their compatibility and efficiency with AI workloads. This makes it easier for companies to manage their AI data.
What types of businesses can benefit from this?
Any business that uses AI, including those in healthcare, finance, and technology, can benefit from the enhanced capabilities of Pure Storage. It helps them process and analyze data more quickly and effectively.
Are there specific products involved in this expansion?
Yes, the update involves specific Pure Storage products designed to handle AI workloads. These include their flash storage systems, which are optimized for high-speed data access and performance.
How can companies get started with these new AI capabilities?
Companies interested in these new AI capabilities can reach out to Pure Storage for details. They can provide information on how to implement and take advantage of this technology to improve AI performance in their operations.