Shelby is a global object storage platform specifically designed for AI applications. It focuses on storing and delivering the large volumes of data required by AI workloads, with infrastructure intended to make data accessible to AI applications regardless of where users or workloads are located.
Key Features
- AI-focused object storage
- Global data storage
- AI data delivery
- Object storage infrastructure
- Data access for AI applications
- Globally distributed data
- AI workload support
- Large-scale data storage
- Data serving infrastructure
- Cloud storage for AI
Pros
- Designed specifically around AI workloads
- Provides storage and delivery capabilities in one platform
- Supports geographically distributed AI applications
- Useful for applications handling large datasets
- Can simplify infrastructure for AI teams
- Helps make AI data accessible across regions
- Suitable for data-intensive AI workloads
Cons
- Primarily targeted at technical and AI-focused teams
- Storage and data-transfer costs can increase with scale
- Teams may need to evaluate geographic availability and latency for their workloads
- Migration from existing object-storage infrastructure may require engineering work
- Security, compliance, and data-residency requirements should be evaluated before deployment
Who Is This Tool For?
- AI developers
- Machine learning teams
- AI startups
- Data engineers
- ML infrastructure teams
- AI application developers
- Enterprises running AI workloads
- Developers building data-intensive applications
- Research organizations
- Cloud infrastructure teams
Pricing Packages
- Free: Limited storage and data-transfer capacity for development or experimentation, where available.
- Paid: Increased storage, bandwidth, and AI workload capacity.
- Enterprise/Premium: Large-scale global storage, higher throughput, advanced infrastructure capabilities, and support for production AI workloads.
