GLabsOS AI Infrastructure

GLabsOS Plattform

Training starten in Minuten. Nicht in Tagen.

NVIDIA-Treiber, CUDA, cuDNN, PyTorch, Docker GPU Runtime, Jupyter und vLLM korrekt zum Laufen zu bringen, kann Tage dauern. GLabsOS wird mit allem vorinstalliert, getestet und für Ihre genaue GPU-Konfiguration abgestimmt geliefert.

Build anfragenGenesysBench-Ergebnisse
Ubuntu 24.04 LTS
CUDA 13.2
PyTorch 2.11
30+ Tools

Software Stack

Der vollständige KI-Stack.

Jedes Tool versionssicher, hardware-getestet und auf Ihrem System vorinstalliert — kein Aufwand für Ihr Team.

Kategorie / ToolVersion / StatusHinweise
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 Exklusive Genesys Labs Tools.

Funktionen, die wir entwickelt haben, weil sie nirgendwo anders existierten — vorinstalliert und konfiguriert auf jedem System.

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

Unterstützte GPU-Hardware.

Day-one-Treiber-Support für jeden wichtigen KI-Beschleuniger.

GPUArchitekturEinsatzbereich
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

Lokale LLMs. Kein Cloud-Bedarf.

vLLM und Ollama sind auf jedem GLabsOS-System vorkonfiguriert. Jedes Open-Source-Modell laden und sofort beim ersten Start inferenzieren.

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.

Die realen Kosten eines selbst gebauten KI-Stacks.

AspektDIY 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

Bereit zum Bauen?

Teilen Sie uns Ihre Workload mit. Unsere Ingenieure konfigurieren das richtige System, installieren GLabsOS vor und liefern es — benchmarked und validiert.

Build anfragen →Alle Produkte erkunden