Parallel Access at Scale
Enable thousands of compute nodes to access shared datasets, checkpoints, and model artifacts simultaneously without creating storage bottlenecks.
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Product Highlight
CKCloud AI Storage Pool
Benchmark-Ready Parallel Storage for AI and HPC
CKCloud AI Storage Pool is a distributed parallel file storage solution built for AI training, inference, and high-performance computing workloads. By eliminating storage bottlenecks, it enables GPU clusters to access data at scale with the throughput, concurrency, and reliability required for modern AI infrastructure.
Built to power data-intensive workloads and benchmark-scale performance.
Optimized For
- High-bandwidth parallel I/O
- Metadata-intensive workloads
- Large-scale distributed computing
- AI and HPC benchmark scenarios
- Performance scaling across storage clusters
Ready for Performance-Critical Environments
From AI model training to large-scale simulations, modern workloads demand storage systems capable of handling massive parallel I/O and metadata-intensive operations. CKCloud AI Storage Pool is designed to meet these challenges while supporting the performance requirements of benchmark-driven environments, including IO500-class workloads.
High Throughput & Low Latency
Distributed storage and metadata services deliver fast data access for both large sequential workloads and small-file operations.
Elastic Growth
Scale capacity and performance independently as data volumes and compute requirements expand.
Enterprise Reliability
Built-in redundancy and fault-tolerant architecture ensure consistent availability for mission-critical workloads.
Architecture Highlights
Parallel File System
Shared high-performance storage across compute clusters
Distributed Metadata
Efficient file operations at scale
Horizontal Scaling
Seamless expansion of storage capacity and throughput
High Availability
Built-in redundancy and fault tolerance
POSIX Compatibility
Easy integration with existing applications and frameworks
AI-Optimized Design
Purpose-built for data-intensive AI and HPC workloads
Accelerate Data. Maximize Compute.
AI infrastructure performs only as well as its storage layer. CKCloud AI Storage Pool provides the high-performance foundation required to keep GPUs fully utilized, accelerate data access, and scale efficiently from development environments to production-grade AI clusters.