Cooperation with AWS Case Study: Earth Mountain
AWS + YRCloudFile, Build Your Studio on Cloud
Read MoreThe All New High-Performance All-Flash Storage
Performant, Agile, and Simple File Storage For GPU
Learn moreHybrid Cloud File Storage
Recognized By Gartner's Authoritative Report
Competitive Landscape: Chinese Infrastructure Software-Defined Storage Vendors
Read MoreYRCloudFile, its self-developed distributed file storage product, is designed to provide services for workloads that require high performance, high availability and stability.
Highly recognized by industry benchmark customers such as artificial intelligence, autonomous driving, GIS and a large number of upgrade services are deployed.
Supports business requirements in Cloud Native and Hybrid Cloud scenarios.
Achieve friendly and non-competitive cooperative relations with a number of public cloud service providers to accelerate the implementation of solutions.
High-Performance / High-Availability / Agile IT
Cloud-Oriented / Container StorageThe YRCloudFile High Performance Distributed File Storage
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YRCloudFile delivers world-class performance, winning Top 6 in IO500 benchmark
Read MoreUnleash the Power of Computing in iFLYTEK
Accellerate time-to-insight with unmatched speed and scalability across AI training workflow
Read MoreCooperation with AWS Case Study: Earth Mountain
AWS + YRCloudFile, Build Your Studio on Cloud
Read MoreThe All New High-Performance All-Flash Storage
Performant, Agile, and Simple File Storage For GPU
Learn more
Drive Future Storage
Modernize the management of your massive data, reduce the complexity and cost of your infrastructure
- Extreme Performance for Complex IO Patterns
- Enormous Files in a Single Global Namespace
- Cloud Native Oriented
- Data Anywhere
Extreme Performance for Complex IO Patterns
Applications and scenarios, like AI, HPC and Rendering, are suffering the challenges of file system performance. The computing power is no longer a bottleneck, while needing the underlying file system to feed enough data to saturate the CPUs/GPUs. YRCloudFile can satisfy the performance requirements of the complex IO patterns no matter big or small files with random or sequential access. It provides high-bandwidth and low-latency performance for IO intensive workloads. The bandwidth can reach as high as 100GB/s in a single cluster namespace.
Enormous Files in a Single Global Namespace
The unstructured data contains immeasurable value. Millions of billions of files, such as pictures, speeches, videos, and documents, are growing at an annual rate of over 40%. YRCloudFile is able to manage dozens of billions of files in a single global namespace with ease without compromising performance. It provides rich file management features and applications can seamless access to the underlying file resources with POSIX or standard NFS/SMB protocols.
Cloud Native Oriented
The trend of containerizing applications is sweeping enterprise data centers. Professional container persistent storage is required to the stateful applications. YRCloudFile enables various applications and middlewares, which rely on persistent data, to migrate to Kubernetes seamlessly, and offers enterprise features like QoS, PVC resize, hotspot tracking etc., for better management.
Data Anywhere
Computing in companies is getting more complicated, acrossing on-prem, cloud and edge. Data with core value will be stored in such hybrid environment, in order to help companies to make the most of computing advantages by accessing data in nearby locations. YRCloudFile can run anywhere, whether on-prem, in the cloud, edge, or hybrid. It enables unstructured data access in various circumstances, which maximizes the computing power for users.
Extreme Performance for Complex IO Patterns
Applications and scenarios, like AI, HPC and Rendering, are suffering the challenges of file system performance. The computing power is no longer a bottleneck, while needing the underlying file system to feed enough data to saturate the CPUs/GPUs. YRCloudFile can satisfy the performance requirements of the complex IO patterns no matter big or small files with random or sequential access. It provides high-bandwidth and low-latency performance for IO intensive workloads. The bandwidth can reach as high as 100GB/s in a single cluster namespace.
Enormous Files in a Single Global Namespace
The unstructured data contains immeasurable value. Millions of billions of files, such as pictures, speeches, videos, and documents, are growing at an annual rate of over 40%. YRCloudFile is able to manage dozens of billions of files in a single global namespace with ease without compromising performance. It provides rich file management features and applications can seamless access to the underlying file resources with POSIX or standard NFS/SMB protocols.
Cloud Native Oriented
The trend of containerizing applications is sweeping enterprise data centers. Professional container persistent storage is required to the stateful applications. YRCloudFile enables various applications and middlewares, which rely on persistent data, to migrate to Kubernetes seamlessly, and offers enterprise features like QoS, PVC resize, hotspot tracking etc., for better management.
Data Anywhere
Computing in companies is getting more complicated, acrossing on-prem, cloud and edge. Data with core value will be stored in such hybrid environment, in order to help companies to make the most of computing advantages by accessing data in nearby locations. YRCloudFile can run anywhere, whether on-prem, in the cloud, edge, or hybrid. It enables unstructured data access in various circumstances, which maximizes the computing power for users.
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YRCloudFile -- Unleash the Power of Data
Data is key resource for AI, YRCloudFile is helping AI industry to solve the problem of managing billions of files at petabyte scale, while providing high bandwidth and low latency to unleash the data value and accelerate productivity for machine learning.
Read MoreYRCloudFile -- Unleash the Power of Data
Data is key resource for AI, YRCloudFile is helping AI industry to solve the problem of managing billions of files at petabyte scale, while providing high bandwidth and low latency to unleash the data value and accelerate productivity for machine learning.
YanRong All-Flash File Storage Efficient, Flexible, and Economical Solutions for HPC/AI Computing
YanRong Technology, in cooperation with NVIDIA, aims to create a high-performance storage technology for GPU computing in the AI era, with the goal of realizing the linear growth of storage capacity and storage performance, effectively balancing data storage cost and space expansion capacity.
Read MoreYanRong All-Flash File Storage Efficient, Flexible, and Economical Solutions for HPC/AI Computing
YanRong Technology, in cooperation with NVIDIA, aims to create a high-performance storage technology for GPU computing in the AI era, with the goal of realizing the linear growth of storage capacity and storage performance, effectively balancing data storage cost and space expansion capacity.
YanRong Tech and Mellanox
Joint SolutionYanRong Tech and Mellanox work together to create the ultimate storage performance, based on high-performance distributed file system YRCloudFile on RDMA via InfiniBand and over Converged Ethernet. The storage performance can be up to 3x comparing to connecting by TCP.
Read MoreYanRong Tech and Mellanox
Joint SolutionYanRong Tech and Mellanox work together to create the ultimate storage performance, based on high-performance distributed file system YRCloudFile on RDMA via InfiniBand and over Converged Ethernet. The storage performance can be up to 3x comparing to connecting by TCP.
YRCloudFile -- Unleash the Power of Data
Data is key resource for AI, YRCloudFile is helping AI industry to solve the problem of managing billions of files at petabyte scale, while providing high bandwidth and low latency to unleash the data value and accelerate productivity for machine learning.
Read MoreYRCloudFile -- Unleash the Power of Data
Data is key resource for AI, YRCloudFile is helping AI industry to solve the problem of managing billions of files at petabyte scale, while providing high bandwidth and low latency to unleash the data value and accelerate productivity for machine learning.
YanRong All-Flash File Storage Efficient, Flexible, and Economical Solutions for HPC/AI Computing
YanRong Technology, in cooperation with NVIDIA, aims to create a high-performance storage technology for GPU computing in the AI era, with the goal of realizing the linear growth of storage capacity and storage performance, effectively balancing data storage cost and space expansion capacity.
Read MoreYanRong All-Flash File Storage Efficient, Flexible, and Economical Solutions for HPC/AI Computing
YanRong Technology, in cooperation with NVIDIA, aims to create a high-performance storage technology for GPU computing in the AI era, with the goal of realizing the linear growth of storage capacity and storage performance, effectively balancing data storage cost and space expansion capacity.
Ecosystem
YanRong Tech empowers innovators and industry leaders to build a better world with data, and strives for an active ecosystem. Together, we are targeting to drive the innovation, and business transformation for industries.
Latest News

YanRong All-flash Series | Why SSDs need NVMe?
With the continuous evolution of SSD drive technology, the SATA used by most HDDs today no longer meets the needs of SSD high performance and low latency, and NVMe was born. Read today's article to learn how NVMe SSDs unleash the most power from all-flash!

YanRong Tech Built Massive High-performance Storage for the National Key Laboratory
Earth system models are important tools for simulating climate system behavior and changes, and play an important role in climate research. They have extremely high requirements for high-performance computing. As a renowned research institution of atmospheric science and geofluid mechanics, why did LASG choose YRCloudFile file storage system?

Cluster Management of etcd for Distributed Storage
In distributed file storage, we usually face the problems of cluster selection, configuration sharing and node status monitoring. With etcd (based on the Raft protocol), you can manage hyperscale clusters and provide service reliability across multiple nodes. Today, we will talk about the specific application of etcd in distributed storage.

YanRong All-flash Series | “SSD”the Core Technology of Solid-state Storage
Nowadays, all-flash storage is the mainstream trend of future storage. As a flagship product of domestic all-flash distributed file storage performance, YanRong Chasing Light F8000X full flash file storage is always at the forefront of the high-performance file storage track. In order to better understand the cutting-edge application of all-flash, we will share the all-flash series from time to time. in this issue, we will talk about the core technology of solid-state storage SSD.

New Forms of File Systems
By sharing several foreign characteristic Global File System product, this article analyzes the focus and functional similarities and differences of its solutions in an easy-to-understand manner. I hope to bring you some design ideas and methods for file system development.

Yanrong All-flash Storage Builds a High-value Data Storage Infrastructure
Nowadays, driven by new technologies such as cloud native, big data, and artificial intelligence, new application data in the whole industry has exploded. Mining the value of data from massive data requires strong computing power and innovative storage technology as support. As the flagship of all-flash distributed file storage performance in China, YanRong Tech helps enterprises successfully build high-performance storage platforms and quickly enter the fast lane of their business.

Zhipu AI and YanRong Tech Jointly Create a Large-scale AI Architecture of A100+ All-flash Storage
As a leading enterprise in the AI industry, Zhipu AI remains at the forefront of multi-modal AI technology. Its data scale can usually reach billions or even tens of billions, Yanrong all-flash file storage is the first in China to support 400Gbps InfiniBand network, the performance level is comparable to that of well-known foreign all-flash manufacturers.

Hybrid cloud storage ignites the trillion yuan autonomous driving market and accelerates the product landing
At present, there is a lack of IT experience in the domestic AI industry, resulting in different levels of construction. Today, we share how to leverage heterogeneous data integration capabilities across the cloud to drive business in light of the current autonomous driving scenarios in the AI industry.
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