Jachin
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GPU 0 · RTX 3090 Ti · 24 GB GDDR6X
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VRAM
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And God gave Solomon wisdom and understanding beyond measure, and breadth of mind like the sand on the seashore.1 Kings 4:29
Solomon is the research compute node of Concordia University Wisconsin — GPU notebooks, video generation, and open models for students and faculty, running on real hardware in the AI lab.
The Two Pillars
live telemetry
Boaz
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GPU 1 · RTX 3090 Ti · 24 GB GDDR6X
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— %
VRAM
— / 24 GB
Temp
— °C
✦ Jachin and Boaz — the two bronze pillars that stood at the porch of Solomon’s Temple (1 Kings 7:21).
Uptime
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The Storehouse · /data
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Notebooks running
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System load
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The Services
2 live · 4 planned
Service I · Notebooks
Notebooks — a Colab on Solomon
Spin up a JupyterLab session in your browser, backed by Solomon’s CPUs and either RTX 3090 Ti. Your files live on /data, your Python environments persist between sessions, and the notebook runs right on the box — no uploads, no timeouts, the full 24 GB of GPU memory.
Live
Service II · Video
Video Studio
Type a prompt, get a short video clip. Runs the Wan 2.2 text-to-video model on an RTX 3090 Ti — a fast Turbo mode for quick takes and a full-quality mode when it matters. Clips play in the browser and download as MP4.
Live
Launch studio →
Service III
VS Code
The full VS Code editor in the browser, on the same hardware — for projects that outgrow a notebook.
Planned
Service IV
Files
Browse, upload, and organize your project files across the 3.6 TB /data drive — the storehouse.
Planned
Service V
GPU Monitor
The pillars above show live utilization now — this expands them into full dashboards: history, running jobs, and who is using what.
Planned
Service VI
Model API
OpenAI-compatible endpoints for the local Llama 3 70B and Mixtral weights already staged on /data.
Planned