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Storage Services

Flexible storage architecture for any AI or enterprise workload

Our Data Centers offer Multi-Tier
Storage Architecture

Our enterprise-class storage solutions are built on self-controlled hardware infrastructure and achieve technological differentiation through a four-layer architecture

Performance

Performance Where IT Counts

Uses SSD storage to analyze data access in real time, prioritizing hot data (like transactions) in fast tiers for microsecond speeds. Smart algorithms auto-move data between tiers

Scalability

Scalability For
Growth

Uses distributed storage to manage exabyte-scale unstructured data. Cross-rack/data center distribution enables seamless capacity expansion without service disruption

Collaboration

Seamlesss Collaboration

Global file system enables multi-node read/write. Smart load balancing optimizes access paths automatically, with version control and file locking to keep data consistent during team work

Cloud Native

Cloud-Native Readiness

Object storage offers standard APIs with cross-region sync & auto-tiering. Pools mixed storage, runs in containers, and copies data across regions in under 1 second

Local Storage

15.6TB of NVMe storage, physically attached to the GPU servers

Performance

Performance Optimized Design

  • •Dynamic GPU-Aware Chunking - Auto-sizes data batches to match GPU memory (e.g. micro-batches)
  • •Parallel I/O Boost - Multi-threaded access hits millions of ops/sec in image training
  • •Smart Prefetch - Predicts & preloads next training batch into cache
Security

Security Isolation Mechanism

  • •Port Locking - Physically binds storage to pre-authorized servers only
  • •Live Encryption - End-to-end data scrambling, unreadable even if physically breached
  • •Isolated Operation - Zero network sharing, direct host-server exclusive access
HPC

HPC Compatibility

  • •Plugs into major AI frameworks (PyTorch/TensorFlow) out-of-the-box
  • •Auto-optimizes storage for NLP/CV workflows with smart caching
  • •Real-time bit-level checks prevent data corruption during long training runs
Circuit Board

Shared Storage

2PB+ centralized parallel file system, accessible by multiple machines over a network

NVIDIA GPUs

File-Based

All servers see the same folder structure like your local PC. Files stay unique - no duplicates, no matter where they're physically stored

Multi-GPU Instances

Multi-Server File Access

Multi-server editing with auto-conflict resolution. Works like Google Docs for servers - changes appear instantly everywhere, no version chaos

Private Cloud

Distributed Harmony Engine

Auto-schedules distributed tasks like traffic lights. Smart scheduling prevents file access conflicts. For example, AI training gets 40% faster with hot data auto-prioritized in fast storage

Object Storage

10PB+ Object File System, accessed via S3 APIs

Performance

Designed for scalability and durability

  • •Starts at 10PB with seamless scaling - auto-balances data when adding drives. Triple copies protect against hardware failures (auto-heals in minutes), while multi-site deployment guards against regional disasters
Security

Accessed using HTTP-based protocols

  • •Access files via unique URLs (e.g. user123/photo.jpg) like visiting webpages. HTTP(S) upload/download handles millions of files worldwide - perfect for web apps
HPC

Optimized for unstructured data

  • •Auto-Tagging: Labels files (images/videos/logs) with types & dates
  • •Hot/Cold Auto-Tier: Auto-moves hot data to fast storage, cold to cheap tiers
  • •Lightning Search: Find files instantly across 100B+ objects using keywords

Ready to get started?

Create your Canopy Wave cloud account to launch GPU clusters immediately or contact us to reserve a long term contract