Penglai Zhishu
AI Storage Expert
forReal-time big data analyticsandArtificial IntelligenceAccelerated training providedHigh-Performance StorageSolution
Focus onKey-value storageSoftware R&D: Comprehensive solutions for building system platforms
Throughput exceeds Redis
Compatible with mainstream machine learning frameworks
Domestically developed and fully controllable
Why Choose Penglai Zhishu?
Domestically developed, secure, and high-performance storage solution providing robust data capacity for the AI era.
Hybrid Key-Value Database HetuKV
The Penglai Intelligent Digital R&D team, guided by the "software-defined storage" philosophy, independently developed HetuKV, a key-value database with full controllability. It maximizes flash memory performance and overcomes the bottlenecks of solutions heavily dependent on main memory. Fully compatible with all Redis data types, HetuKV serves as one of the domestic alternatives to foreign products like Redis.
Delivers an efficient, stable, and low-migration-cost alternative while offering unique advantages including higher storage node density, reduced energy consumption, lower total cost of ownership, decreased latency, and support for highly customized solutions.
HetuVDB Vector Database
As an AI company, we recognized the urgent need for a reliable, high-performance vector database that is easy to deploy and use for large model training and applications. To meet this demand, our team has independently developed HetuVDB—a secure, reliable, and high-performance vector database.
Designed for multimodal vector data needs of large models, this product supports retrieval and storage of both dense and sparse vectors. It enables GPU acceleration and is compatible with mainstream machine learning frameworks like PyTorch and TensorFlow. Hecun Vector Database significantly improves the efficiency of storing and retrieving unstructured vector data for AI model inference and training, reduces access latency, and delivers a secure, reliable, high-performance storage solution for large-scale multimodal vector data in AI applications.
Leveraging the team's exceptional research and development capabilities, Penglai Zhishu has developed a series of AI solutions—including an AI Entertainment Recommendation System and an AI Government Text System—building on existing proprietary products. These innovations expand application scenarios and deliver comprehensive products and solutions to customers.
Our Mission
Penglai Zhishu, the expert in storage solutions for the AI era, is dedicated to providing secure, reliable, and high-performance storage solutions to support China's artificial intelligence industry and technological development.
Penglai Product Suite
A complete AI storage ecosystem delivering full-stack solutions from underlying hardware to upper-layer applications

AI System
- Support vector search
- GPU support
- Supports frameworks like PyTorch
Big Data Ecosystem
- Kafka Message Queue
- ZooKeeper Coordination Service
Core Features
- Domestic alternative to Redis
- Cross-platform support (x86/ARM)
- Supports domestic operating systems
- Centralized/Distributed Deployment
Core Competencies
Leading technology, superior performance—powering the AI era with robust storage capabilities.
Support vector search
Efficient AI Vector Similarity Search
Domestically developed and fully controllable
Self-developed core technology, secure and controllable
Multi-platform / OS support
Cross-platform deployment capability
CPU Multi-Core Expansion
Fully leverage multi-core processor performance
Support vector search
Efficient AI Vector Similarity Search
Domestically developed and fully controllable
Self-developed core technology, secure and controllable
Multi-platform / OS support
Cross-platform deployment capability
CPU Multi-Core Expansion
Fully leverage multi-core processor performance
Support vector search
Efficient AI Vector Similarity Search
Domestically developed and fully controllable
Self-developed core technology, secure and controllable
Multi-platform / OS support
Cross-platform deployment capability
CPU Multi-Core Expansion
Fully leverage multi-core processor performance
Support vector search
Efficient AI Vector Similarity Search
Domestically developed and fully controllable
Self-developed core technology, secure and controllable
Multi-platform / OS support
Cross-platform deployment capability
CPU Multi-Core Expansion
Fully leverage multi-core processor performance
GPU support enabled
GPU-accelerated computing power
Highly customizable
Flexible adaptation to various business scenarios
Easy to integrate
Quickly integrate with existing systems
Optimized for flash storage
Break the memory dependency bottleneck
GPU support enabled
GPU-accelerated computing power
Highly customizable
Flexible adaptation to various business scenarios
Easy to integrate
Quickly integrate with existing systems
Optimized for flash storage
Break the memory dependency bottleneck
GPU support enabled
GPU-accelerated computing power
Highly customizable
Flexible adaptation to various business scenarios
Easy to integrate
Quickly integrate with existing systems
Optimized for flash storage
Break the memory dependency bottleneck
GPU support enabled
GPU-accelerated computing power
Highly customizable
Flexible adaptation to various business scenarios
Easy to integrate
Quickly integrate with existing systems
Optimized for flash storage
Break the memory dependency bottleneck




Solutions
Deep industry expertise delivering professional, customized AI storage solutions
Performance Comparison
Based on YCSB benchmarks, Hecun Database delivers superior performance across the board.


10x performance boost
Achieves order-of-magnitude throughput breakthrough compared to traditional in-memory databases.
millisecond-level latency
Deeply optimized for flash storage with read/write latency as low as 0.5ms.
Linear scalability
Supports multi-core CPU parallel processing with linear performance scaling based on core count
ZhiLing Tech, Digitizing the Future
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