Why Choose GIGAPOD x VAST Data
AI Ready
The Foundation for Agentic AI
VAST AI OS powers intelligent agents that reason over enterprise data. Built for NVIDIA AI Enterprise, NeMo, and NIM with native support for RAG, vector search, and real-time analytics.
Scalability
Infinitely Scalable Architecture
VAST DASE architecture lets you start small and scale to exabytes. Scale compute and storage independently with no data migration, no silos, no redesign as your AI ambitions expand.
Efficiency
Optimized TCO
Reduce costs with Giga Computing's green computing and VAST's revolutionary data reduction technology. Get all-flash performance at archive prices while shrinking your footprint and minimizing power and cooling costs.Integration with GIGAPOD / GIGABYTE POD Manager
GIGAPOD Hardware Foundation
The GIGAPOD AI infrastructure combines NVIDIA GPU/HPC nodes with NVIDIA BlueField DPUs to deliver high-performance, accelerated compute. Storage is powered by GIGABYTE Ebox systems (CNodes + DNodes) running VAST AI OS in a disaggregated architecture scalable to exabytes. The environment is connected through NVIDIA Spectrum-X Ethernet or other compatible Ethernet infrastructure, using NVMe over Fabrics to enable high-bandwidth, low-latency communication across compute and storage.
GPM Unified Management
GIGABYTE POD Manager (GPM) serves as the centralized control center for AI and HPC infrastructure, unifying management across compute, storage, and networking layers. It streamlines operations by consolidating visibility and control of CPU/GPU servers, VAST storage platforms, and network architecture within a single management framework, supporting scalable and efficient data center environments.
Key Advantages:
- Infrastructure visibility: Complete and transparent visibility across CPU/GPU servers, VAST storage servers, and network topology, enabling organizations to clearly understand infrastructure status, performance, and connectivity.
- Real-time monitoring: GPM provides real-time insights into VAST storage system utilization, health, and I/O performance, while presenting key GPU metrics including power usage and thermal data for a unified operational view.
- Orchestration ready: Specifically designed to support AI and HPC workload deployment, including Kubernetes and Slurm, enabling flexible resource orchestration and scalable operations.
