Next-Gen Storage for AI, Databases, and Disaggregated Architectures
Vitality AI is building modern, developer-friendly storage systems for high-throughput, low-latency workloads — including AI/ML pipelines, databases, and analytics engines.
We embrace Storage Disaggregated Architectures (SDA), enabling clean separation between compute and storage. Our architecture focuses on:
- Clean low-level primitives for objects, blocks, and streams
- High-throughput paths optimized for training and query workloads
- Support for both large and small data sizes
- Modular SDKs for application integration
| SDK Type | Description |
|---|---|
| 🧱 Core API | Low-level object/block interfaces |
| 🧠 ML Frameworks | Connectors for PyTorch, TensorFlow, etc. |
| 🗃️ DB Connectors | APIs to support custom databases or FS |
| 📈 Monitoring Tools | Observability, metrics, and health tracking |
