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GLabs Enterprise — AI Factory

For AI Factories

Sovereign AI Factory

Enterprises, governments, and regulated industries can deploy trusted AI faster with an environment designed for sovereignty. Move from pilot to production with security, compliance, and control across your data, infrastructure, and AI models.

AI Factories by GLabs

Engineered, Validated, Deployed

GLabs engineering transforms NVIDIA reference designs into turnkey AI Factories through comprehensive system validation and customer enablement.

AI Factory Platforms

Four NVIDIA platform families, from mainstream enterprise AI to frontier-scale training. GLabs delivers each one.

Two black NVIDIA GB200 NVL72 racks standing side by side, shown in greyscale

Training and LLM inference

NVIDIA DGX B300 / B200 and GB300 / GB200 NVL72

Platforms for training and serving foundation models at scale, deployed and supported by GLabs.

Best for

  • LLM training and fine-tuning
  • Multimodal AI models
  • High-throughput AI serving
  • Frontier model development

Key advantages

  • Eight-GPU NVLink architecture on DGX B300 and B200
  • Rack-scale NVLink architecture on GB300 and GB200 NVL72
  • Enterprise-ready deployment with NVIDIA software stack support
Black NVIDIA DGX Vera Rubin NVL72 rack cabinet with two columns of compute trays, shown in greyscale

Frontier-scale AI infrastructure

NVIDIA DGX Vera Rubin NVL72 and DGX Rubin NVL8

Purpose-built for training and serving foundation models at scale, deployed and supported by GLabs.

Best for

  • Frontier-scale training and fine-tuning
  • High-throughput inference at scale
  • Agentic AI deployments (DGX Rubin NVL8)

Key advantages

  • Rack-scale design with 72 Rubin GPUs and 36 Vera CPUs (NVL72)
  • Optimized for performance per watt and tokens per watt
  • Supported by NVIDIA Mission Control and NVIDIA AI Enterprise
Silver 8U HGX B300 server chassis with the lid slid back to show the GPU modules

Scaled AI infrastructure

NVIDIA HGX B300

GLabs-built HGX B300 systems on the 8U chassis class — GL8U16X-GNR2 / GL8U16X-GNRAP2 / GL8U16X-TURIN2 — for training and serving large models at scale.

Best for

  • Large-model training
  • AI inference clusters
  • GPU-as-a-service
  • Research and AI cloud workloads

Key advantages

  • Eight-GPU NVLink architecture
  • High-density AI compute

Server Families, scale-up GPU

NVIDIA RTX PRO server with the cover off, showing two GPU stacks and the host board

Mainstream enterprise AI

NVIDIA RTX PRO Blackwell 6000 and 4500 servers

Designed for organizations adding AI to an existing enterprise data center.

Best for

  • AI agents and copilots
  • RAG and enterprise search
  • Digital twins and simulation
  • AI video analytics
  • Virtual workstations and visualization

Key advantages

  • Flexible multi-workload acceleration
  • Supports AI, graphics, and visualization together

Server Families, scale-out GPU

GPU and platform names are trademarks of their respective owners.

Sovereign-Scale AI Infrastructure

Built around NVIDIA's AI Factory model — the five-layer stack that unifies energy, chips, infrastructure, models, and applications into one operating system for intelligence production. GenesysLabs.ai delivers this as a paired program: the AI Factory system itself, plus the 8-phase Data Centre Design & Build service that houses it.

Rendered overhead view of a data-centre hall with rows of server racks either side of a central aisle
SpecDetail
ComputeNVIDIA GB200 NVL72 (rack-scale), multi-exaFLOP aggregate
Scale ceiling (confirmed)8U chassis class — GL8U16X-GNR2 B300 / GL8U16X-GNRAP2 B300 / GL8U16X-TURIN2 B300 — current top of range
Design referenceNVIDIA Enterprise AI Factory Validated Design
Gigawatt-scale referenceNVIDIA DSX reference framework, for sovereign/national-scale builds
Paired serviceData Centre Design & Build — 8-phase process (Services)
DeploymentGLIDS-validated, commissioned on-site

Every chassis class:Server Families, 1U to 8U

Where It Shows Up

Used across: AI Solutions (GLabs AI Stack)

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