GLABS ENTERPRISE
GLabs POD
Complete GPU Ecosystem that Offers the Foundation for AI Infrastructure
POD arrives pre-cabled and ready to power on.
| Spec | Detail |
|---|---|
| Scale | 4 to 40 GPUs |
| Delivery | Pre-integrated, pre-cabled — ships complete |
| Target buyer | Organizations without an existing data center |
| Networking | Factory-validated fabric, rack-and-roll |
Why POD, Not GPU Servers
GPU Servers assume a facility already exists to receive them — power, cooling, racks, network fabric. POD is for the organization that doesn't have that yet: the cluster arrives pre-cabled and validated, so it goes from delivery to first job without a separate data-center build.
GLabs GPU ServersAlso Available: NVIDIA DGX SuperPOD — Deployed & Supported by GLabs
| Spec | Detail |
|---|---|
| Platform | Full-stack turnkey AI infrastructure — compute, storage, networking, and software unified |
| Compute | Blackwell- and Rubin-generation NVIDIA DGX systems |
| Scale | From a single SuperPOD to tens of thousands of GPUs |
| Management | NVIDIA Mission Control and Base Command |
| Certified storage partners | DDN, Dell, IBM, NetApp, Pure Storage, VAST, WEKA |
| Positioning | Shared NVIDIA-partner tier for GLabs Vault + POD customers scaling beyond a single rack |
Where It Shows Up
- Fine-Tuning & Domain AdaptationFine-tune models on proprietary or regulated datasets using local infrastructure where data remains under customer control.
- Foundation Model Pre-Training & AI Data CentersPOD and DGX SuperPOD give enterprise and sovereign customers a pre-integrated path to multi-rack scale without a from-scratch build.
Used across: AI Solutions (GLabs AI Stack)
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