GLabs Edge AI Infrastructure
GLabs Edge AI

The Power of an AI Supercomputer.
At the Edge.

Powered by the NVIDIA Grace Blackwell architecture. Prototype, run, and fine-tune large models of up to 200B parameters entirely on-premises, without relying on data center or cloud compute constraints.

Monumental Scale.
Minimal Footprint.

Engineered to seamlessly deploy massive parameter models from your local system to distributed edge infrastructure, leveraging up to 1 PetaFLOP of FP4 AI performance.

200B Parameter Support

Execute inference and fine-tuning on massive language models locally, supported by 128 GB of coherent, unified LPDDR5x system memory at 273 GB/s.

ConnectX Scalability

Connect two edge systems via native 200 Gbps ConnectX-7 networking to enable synchronized inference on models up to 405B parameters.

Zero-Setup Software

Preconfigured with NVIDIA NIM microservices, AI Workbench, and the complete CUDA-X library stack out of the box. No dependency tuning required.

Technical Specifications

Compute Architecture
Superchip Topology

NVIDIA Grace Blackwell

CPU Architecture

20 Core Arm (10 Cortex-X925 + 10 Cortex-A725)

AI Performance / Cores

1 PetaFLOP (FP4) / 5th Gen Tensor Cores & 4th Gen RT Cores

Memory & Storage
System Memory

128 GB LPDDR5x (Coherent Unified Memory)

Memory Interface & Bandwidth

256-bit Interface / Up to 273 GB/s

Onboard Storage

4 TB NVMe M.2 with self-encryption

Connectivity & Physical
Networking Matrix

NVIDIA ConnectX-7 NIC (200 Gbps) / 10 GbE RJ-45 / Wi-Fi 7

Power Consumption

240 W (Standard Wall Outlet compatible)

Dimensions & Weight

150 mm L x 150 mm W x 50.5 mm H / 1.2 kg