Nvidia moves to accelerate storage access, boost industry cooperation
Nvidia is looking to speed access to AI storage and memory systems by open-sourcing its cuFile APIs and software stack.
Nvidia is looking to speed access to AI storage and memory systems by open-sourcing its cuFile APIs and software stack.
The short version
- It’s also promoting a new 40-vendor initiative that aims to standardize GPU-driven storage advancements.
- As GPUs become faster, storage is increasingly the bottleneck, and many GPUs can process data faster than many storage systems can deliver it.
- The idea behind cuFile is to increase storage throughput, reduce latency, improve GPU utilization, and speed AI training and inference workloads, Hardy wrote in a blog post about the news.
What happened
“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.
Why it matters
Making cuFile openly available will help make security context, data and storage accessible at the speed AI-powered defenses need.
Summary by Nerd News Network. Read the full article at Network World via the links above and below.