APIs and software stack. It’s also promoting a new 40-vendor initiative that aims to standardize GPU-driven storage advancements.
At this week’s (xio-sig), an industry consortium focused on creating open standards for high-performance, low-latency I/O.
The move is intended to foster broader adoption and interoperability across the AI storage industry, making cuFile a more open foundation for AI-native storage rather than a proprietary Nvidia-only interface, according to about the news.
“Using hundreds of thousands of GPU threads, fast high-bandwidth memory and other methodologies, cuFile enables securely accessing data from storage in just microseconds,” Hardy wrote. “In addition, fast, secure access to data and storage is a foundational element to powering preventive and detective cybersecurity measures. Making cuFile openly available will help make security context, data and storage accessible at the speed AI-powered defenses need. Such open technologies support initiatives such as the new e infrastructure, including its Nvidia Vera BlueField-4 STX — a modular, rack-scale foundation powered by the Nvidia Vera Rubin platform, Vera BlueField-4 storage processors, and Spectrum-X Ethernet networking.
Nvidia’s STX unifies its Vera, Rubin, and BlueField-4 packages into a system fort high-performance storage, enterprise AI data, and memory. Nvidia STX is a key driver for the vendor as it unifies its Vera, Rubin, BlueField-4 and Spectrum-X Ethernet networking technologies to offer a blueprint for customers to upgrade traditional storage systems, Nvidia states.
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