Optimize Your GPU Cloud by Accelerating AI Workloads
Deliver the scalability, performance, speed, and reliability required to serve the entire AI data pipeline, unleashing full potential of GPU cloud infrastructure.
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AI Computing Requires a New and High Performance Storage
Demand for ultra-high performance
AI model training and inference impose extremely high demands on storage in terms of scalability, bandwidth, IOPS, and latency, in order to support efficient data processing for trillion-parameter models and to meet the application performance needs in real-time or high-concurrency scenarios.
Scalability required for rapid data growth
AI storage systems must offer exceptional scalability to handle data growth from PB to EB levels. They need to efficiently manage hundreds or thousands of nodes and billions of files to satisfy the ever-increasing data storage and processing demands of large-scale AI models.
Seamless data mobility for hybrid workflows
Many AI applications run in hybrid cloud environments. Enterprises need AI-optimized data management to simplify hybrid workflows and enable instantly classify, move, and serve data across any hybrid and multi-cloud environment.
Proven AI-ready Storage for Scaled GPU Cloud
YanRong's F9000X/F8000X is designed to simplify and accelerate every step of AI data pipeline, from data preparing to model training and inference. It enhances data access efficiency with NVMe SSDs and high-speed lossless networks, ensuring high-bandwidth transfer for large files while also optimizing the handling of massive small files. With its exceptional storage performance, the F9000X/F8000X helps to get the most out of your GPU power, advancing modern workloads for business.
As a trailblazer in large-scale AI infrastructure, YanRong's distributed all-flash storage F9000X/F8000X, builds a future-proof and adaptable infrastructure that keeps pace with the fast-evolving demands of AI storage. It not only enhances AI performance at every stage but also optimizes time and resources across the entire process, empowering data-driven enterprises to achieve efficient and intelligent growth.
Advantages
AI-Optimized Performance
With support for RDMA and NVIDIA Magnum IO GPUDirect™ Storage access, YanRong offers the ultra-high performance of the parallel file system, enabling high-speed operation for any AI workloads.
A Unified, Multi-Protocol Platform
Supports multiple protocols to build a unified data space, eliminating data silos and enabling applications to seamlessly store, access, and analyze massive unstructured data.
Flexible Data Movement
The DataLoad feature facilitates data flow between object storage buckets and file directories, allowing for both preloading and on-demand loading, while enhancing overall data flow across object and file protocols on demand.
Accelerating Data Pipelines
Eliminate time-consuming data copying and delays on YRCloudFile shared file system with instant data access, and high-speed lossless networks like Infiniband and Ethernet.
Unified Namespace
Streamline data management and enable real-time access to data—whether on-premises, at the edge, or in the cloud—with YRCloudFile's unified namespace.
Scalability for Sustainability
With horizontal scalability to meet the ever-growing data demands, YanRong provides extensive storage capacity for intelligent computing centers.