Storage Infrastructure 儲存基礎設施
Storage Server 儲存伺服器
Phison's distributed storage platform unifies Block, File, and S3 Object access on a single NVMe cluster — eliminating storage silos and delivering enterprise-grade resilience for AI and hybrid workloads. 群聯分散式儲存平台在單一 NVMe 叢集上統一 Block、File、S3 存取，消除儲存孤島，為 AI 與混合工作負載提供企業級韌性。
Core Barriers in Enterprise Storage Infrastructure 企業儲存基礎設施的核心障礙
Organizations building AI infrastructure encounter fundamental storage challenges that slow deployment and increase total cost of ownership. 建構 AI 基礎設施的組織面臨根本性儲存挑戰，拖慢部署速度並增加總擁有成本。
Different Storage Needs for Every Use Case
AI training, inferencing, databases, and file workloads each demand different storage protocols — Block, File, and Object — forcing organizations to maintain separate storage silos.
Cost Balancing a Mix of Data Tiers
Balancing hot NVMe performance storage with cold archive tiers is complex. Organizations overprovision or underutilize expensive SSD capacity due to lack of unified visibility.
Challenges Supporting Enterprise Migration
Migrating from legacy SAN/NAS to modern distributed storage requires downtime windows, data migration plans, and retraining of IT staff — delaying AI projects.
Growing IT Bottlenecks for AI Workloads
As GPU clusters scale, storage bandwidth and IOPS requirements grow non-linearly. Traditional storage architectures cannot keep up with the throughput demands of LLM training.
One Rich Hardware Profile, One Rich Access Mode
Vendor lock-in forces teams to use proprietary access APIs, making it impossible to serve Kubernetes CSI, NFS, and S3 workloads from a single unified storage platform.
Broad Data Backup and Disaster Recovery
Enterprise storage must provide snapshot, replication, and EC redundancy. Legacy systems require separate appliances for each function, increasing operational overhead.
Phison AI Data Platform Storage System Architecture 群聯 AI Data Platform 儲存系統架構
Reference Configuration
3 node × 4× 15.36 TB · 100Gb NIC · Write ~8 GB/s
Three Access Modes, One Unified Storage Platform 三種存取模式，一個統一儲存平台
Phison Storage Server converges Block, File, and Object storage onto a single cluster — eliminating silos without sacrificing performance or protocol fidelity. 群聯儲存伺服器將 Block、File、Object 儲存整合至單一叢集，消除孤島而不犧牲效能或協定保真度。
Block Raw Device
VM · K8s CSI · DB
Delivers raw block access with consistent low-latency IOPS for databases, virtual machines, and Kubernetes persistent volumes.
Install Storage AgentStandard File Access
Linux App · NFS · SMB
POSIX-compliant distributed file system. Supports NFS v3/v4.1 and SMB 3.x protocols for seamless integration with existing Linux and Windows applications.
Install Storage AgentS3 Object Storage
External Clients · HTTPS
AWS S3-compatible API for AI training datasets, model artifacts, and application data. Accessible from anywhere via standard HTTPS without additional agents.
Standard Packages OnlyCore Storage Technology 核心儲存技術
The storage platform is designed from the ground up for enterprise AI workloads, combining hardware-level SSD optimization with software-defined distributed storage. 儲存平台從底層為企業 AI 工作負載設計，結合硬體級 SSD 優化與軟體定義分散式儲存。
EC 2+1 Erasure Coding Protection
Two-plus-one erasure coding tolerates simultaneous SSD and node failures with automatic rebuild. Data durability at 66% usable efficiency — superior to 3-way replication.
Automatic Failure Domain Rebalancing
Hot-add SSDs or storage nodes and the platform automatically redistributes data across the expanded cluster with zero downtime and zero manual intervention.
Unified External Plane
A single storage cluster serves Block, File, and S3 workloads simultaneously with per-volume policy controls for IOPS limits, snapshot schedules, and replication targets.
NOFFIT Cache-Tiered Caching
Intelligent flash-to-flash caching accelerates hot data access. Phison NVMe SSD firmware optimization ensures consistent latency under heavy mixed read/write workloads.
aiDAPTIVCache-Based Caching
Optional in-memory KV cache tier extends storage bandwidth for AI inference workloads, reducing GPU idle time caused by I/O-bound data loading.
Capacity Planning & SSD Management
Web-based dashboard provides real-time IOPS, throughput, latency, and capacity metrics. Predictive capacity planning alerts before utilization thresholds are breached.