Loadcore

The local LLM manager that scales to enterprise. Run LLMs on your laptop or manage them across your GPU server fleet.

Download Desktop — Coming Soon Deploy Enterprise
💻

Local LLM First

Run local LLMs on your own hardware. No cloud dependency, no telemetry. Your data stays yours.

🖥

Enterprise LLM Manager

Manage LLMs across multiple GPU servers from a single dashboard. Scale your enterprise LLM infrastructure from one GPU to a fleet.

🔓

Open Standards

Built on llama.cpp and open standards. No vendor lock-in. GGUF models from HuggingFace.

Loadcore Desktop

Free

The easiest local LLM manager for your machine.

  • One-click model downloads from HuggingFace
  • Chat with any GGUF model
  • Built-in llama.cpp server management
  • MCP management and installation
  • System resource monitoring (VRAM, RAM)
  • ~5MB installer (Electron-free)
Download for macOS — Coming Soon Windows — Coming Soon Linux — Coming Soon
Loadcore Desktop local LLM manager — Light theme dashboard showing model downloads and chat interface Loadcore Desktop local LLM manager — Dark theme dashboard showing model downloads and chat interface

Loadcore Cloud

Enterprise

Enterprise LLM management infrastructure for your team.

  • Multi-server management — connect and monitor all your GPU servers
  • Centralized model library — download models to any server from one UI
  • llama.cpp orchestration — spawn and manage inference instances remotely
  • Role-based access control via Keycloak (Google, Apple, Discord SSO)
  • REST API for automation and CI/CD integration
  • Real-time monitoring across your fleet
Get Started View Docs
Loadcore Cloud enterprise LLM management architecture diagram — multi-server GPU fleet orchestration

Getting Started

Up and running in minutes

Choose the path that fits your needs.

Desktop

  1. Download Loadcore Desktop
  2. Install and launch
  3. Browse and pull models
  4. Start chatting

Enterprise

  1. docker compose up -d — starts Keycloak + DB
  2. ./mvnw spring-boot:run — starts backend
  3. npm run dev — starts web frontend
  4. Add your GPU servers
  5. Deploy models across your fleet

Compare

Desktop vs Cloud

Both products share the same foundation. Pick what works for you.

FeatureDesktopCloud
Local model management✓✓
Chat interface✓Coming soon
Multi-server management—✓
Web-based UI—✓
SSO / Authentication—✓
REST API—✓
Team collaboration—✓
Model browsing & download✓✓
llama.cpp management✓✓
PriceFreeFree (self-hosted)

Cost

Self-hosted vs. API Pricing

Running Qwen3-Coder-Next on a Hetzner GPU server vs. paying per-token for comparable API models.

OpenAI API
GPT-4o
$6.25
per 1M tokens (blended)
$2.50 / 1M input tokens
$10.00 / 1M output tokens
No infrastructure control
Data sent to third party
Rate limits apply
Anthropic API
Claude Sonnet 4
$9.00
per 1M tokens (blended)
$3.00 / 1M input tokens
$15.00 / 1M output tokens
No infrastructure control
Data sent to third party
Rate limits apply
Loadcore + Hetzner
Self-hosted
Qwen3-Coder-Next
$0.05
per 1M tokens
€184/mo Hetzner GEX44
20 GB VRAM (RTX 4000 SFF)
~50 tok/s · ~4B tokens/mo
Your data stays on your server
No rate limits, unlimited usage
125× cheaper
Self-hosting with Loadcore vs. OpenAI GPT-4o at 4B tokens/month
€184/mo vs. ~$25,000/mo in API costs

Pricing as of March 2026. Blended rate assumes 50/50 input/output split. Hetzner GEX44: €184/mo + €79 one-time setup. Self-hosted throughput varies by model quantization and context length. API providers offer different model capabilities.