GLabsOS AI Infrastructure

GLabsOS Platform

Start Training in Minutes. Not Days.

Getting NVIDIA drivers, CUDA, cuDNN, PyTorch, Docker GPU runtime, Jupyter, and vLLM all working correctly can take days. GLabsOS ships with all of it pre-installed, tested, and tuned for your exact GPU configuration.

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Ubuntu 24.04 LTS
CUDA 13.2
PyTorch 2.11
30+ Tools

Software Stack

The Complete AI Stack.

Every tool version-locked, hardware-tested, and shipped on your system — not left as an exercise for your team.

Category / ToolVersion / StatusNotes
NVIDIA Driver595.58.03Pre-installed, hardware-optimised
CUDA-X AI13.2Pre-installed
cuDNN9.3Pre-installed
NCCL (Multi-GPU)LatestPre-installed
Linux Kernel6.8.0-107Pre-installed
PyTorch2.11.0+cu130Pre-installed
TensorFlow2.21.0Pre-installed
vLLM (Local LLM Serving)LatestNEWPre-installed
Ollama (Local LLM Manager)LatestNEWPre-installed
Docker (API 1.48)LatestPre-installed
Docker Desktop for LinuxLatestNEW
Visual Studio CodeLatestPre-installed
Cursor (AI IDE)LatestNEWPre-installed
Windsurf (AI IDE)LatestNEWPre-installed
AnacondaLatestPre-installed
Jupyter Notebook + LabLatestPre-installed
NVTOP / NVITOPLatestPre-installed
AnyDeskLatestPre-installed
IPMI ToolsLatestNEWPre-installed
VM Manager (KVM)LatestPre-installed

Exclusive Tools

5 Exclusive Genesys Labs Tools.

Capabilities we built because they didn't exist anywhere else — shipped on every system, pre-configured.

Native Linux

Genesys Labs Desktop App

AI-powered diagnostic hub on every workstation. Natural language assistant with local models, embedded browser, and one-click updates. No cloud required — your data never leaves the machine.

  • AI Diagnostic: conversational assistant with markdown rendering
  • Optional Claude backend for cloud-assisted support
  • Embedded browser: NVIDIA AI Catalog, Notion guides
  • One-click app updates · Dark and Light mode
Browser-Based

Web Control Panel

Full system administration from a local browser tab. Containers, VMs, Jupyter, GPU monitoring, and SSH — no command-line expertise required.

  • Dashboard: add systems, create clusters, monitor everything
  • Containers: pull, launch, and manage Docker containers visually
  • Jupyter: launch GPU notebooks with per-container GPU assignment
  • GPU Monitoring via Grafana + Prometheus + NVIDIA DCGM
Mobile

iOS Remote Control App

Control your AI workstation from iPhone over your local network — nothing exposed to the internet. Real-time GPU stats, process manager, and power controls in your pocket.

  • AI Diagnostics: natural language conversation with your server
  • Choose backend: Claude, Ollama, or vLLM with model selection
  • Real-time GPU monitoring: power, temperature, VRAM stats
  • Multi-machine support over local network only
Terminal

GLabsHelp CLI Suite

Type genesyslabshelp in any terminal. Diagnostics, IPMI control, Jupyter launch, RAID management, and AI tool installation — all scriptable, all local.

  • Hardware diagnostics and IPMI control from CLI
  • Jupyter notebook launch with GPU binding
  • RAID management and storage health checks
  • AI tool installation and framework updates
Agentic AI

API & MCP Server

RESTful API and Model Context Protocol server on your local network only. Cursor, Windsurf, and Claude connect to your hardware privately — full agentic control with zero internet exposure.

  • MCP server for AI agent tool calling: system info, GPU status
  • Remote command execution and GPU TDP control
  • AI diagnostic chat and file operations via API
  • Pre-configured for Cursor, Windsurf, and Claude

Hardware Support

Supported GPU Hardware.

Day-one driver support for every major AI accelerator in production.

GPUArchitectureUse Case
NVIDIA RTX PRO 6000 BlackwellBlackwellAI training at scale — next-gen professional workstation GPU
NVIDIA RTX 5090BlackwellProfessional workstation GPU for large model training and inference
NVIDIA H200 / B200 / B300Hopper / BlackwellGrace Blackwell superchip, massive parallel AI
AMD MI350XCDNA 3AMD Instinct accelerator for HPC and AI workloads
NVIDIA H100 SXM / NVLHopperEnterprise AI training, inference, cluster nodes
NVIDIA L40SAda LovelaceProduction inference, multi-tenant AI serving
NVIDIA RTX 6000 AdaAda LovelaceMulti-GPU NVLink AI workstations, VFX, simulation

Local LLM Inference

Run Local LLMs. Zero Cloud Dependency.

vLLM and Ollama come pre-configured on every GLabsOS system. Pull any major open-source model and start inferencing on first boot.

Llama 3.xMistralDeepSeek R2Gemma 4Nemotron 3Kimi 2.5GLM-5.1MiniMax-M2.7Qwen 3.5Qwen 3.6Phi-4Command R+Falcon 3Yi-34BAll open-source LLMs

vLLM

High-throughput inference server — pre-installed, pre-configured for your GPU topology.

Ollama

One-command local model management. Pull, run, and switch models from the terminal or Web Control Panel.

Why GLabsOS

GLabsOS vs DIY Linux.

The real cost of building an AI stack yourself.

ConcernDIY Linux SetupGLabsOS
Time to start trainingDays — driver/CUDA/PyTorch/Docker compatibility issues
Minutes — pre-installed, pre-tested, ready
GPU optimisationGeneric; NVLink/NVMe may not be tuned
Hardware-optimised per your GPU config from factory
Stack updatesRisk of breaking CUDA/Docker GPU runtime
Tested against your hardware before release
Management toolsBuild your own monitoring, remote access, container mgmt
Desktop App, Web Control Panel, iOS app included
Local LLM inferenceManual vLLM/Ollama install, dependency conflicts
Pre-configured, running on first boot
AI agent integrationManually configure MCP server + API
MCP Server pre-configured for Cursor/Windsurf/Claude

GLabsOS — Pre-Installed

Ready to Build?

Tell us your workload. Our engineers configure the right system, pre-install GLabsOS, and ship it — benchmarked and validated.

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