
WinHong CNware WinHCI hyper-converged all-in-one machine integrates the leading WinStack virtualization cloud platform software to provide a convenient, flexible and scalable one-stop enterprise cloud data center, enabling enterprises to focus on applications and services and improve the agility of enterprise information infrastructure.

Hyper-converged all-in-one is a software and hardware integrated system that integrates computing, storage, network virtualization, etc. It aims to simplify data center infrastructure management and accelerate business application deployment through out-of-the-box.
One-stop Construction
One-touch migrate to the cloud
One-touch for Disaster Recovery
One-touch for Backup
One-touch deploy
Product Advantage

Reduce operation and maintenance manpower

Quickly respond to business needs

Building block based on-demand construction

Self-developed core technology
Application Scenarios
Without heavy investment, lightweight construction provides high-density computing power for both core and general business operations. Based on indigenous innovation chips, it offers performance comparable to X86 chips, with a single volume achieving 2 million IOPS and low latency of hundreds of microseconds. This computing power meets the long-term planning needs of enterprises for years, and its linear scalability reduces equipment procurement costs.

Supports 10,000-level container business scale and multi-concurrent access to Oracle RAC database. WinHCI hyper-convergence achieves higher performance, elasticity, and stability without the need for a large number of hardware stacks. Through excellent distributed software design and efficient I0 stack, hardware performance is maximized to ensure system-level reliability.

With high performance and stability comparable to high-end all-flash arrays, it bridges the gap between different scenarios and technologies. By adopting a new generation of low-latency lossless protocols, it enhances data processing efficiency and reduces the waiting time for AI model training and inference. The high-density design and energy-saving features of all-flash storage further reduce energy consumption and costs, thereby improving the economic viability of AI applications.


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