NVIDIA RTX 4090 Deep Learning Node
Resource Specification & Equipment Details
Dedicated high-performance GPU computing node with 24GB VRAM, 64-core AMD Threadripper CPU, and 128GB ECC RAM. Pre-configured with PyTorch, CUDA 12, JupyterLab, and local Ollama inference models.
Usage Guidelines & Operating Policies
No persistent long-term storage on root partition. Remove Docker containers and training checkpoints within 24 hours of job completion.
Borrowers must inspect the equipment with the lab custodian upon pickup and submit a return condition report at check-in. Any unrecorded physical damage or late return will be reviewed as an incident.
Prerequisites & Access Requirements
No prior certification course required.
Self-directed student use permitted after handover.
All verified students enrolled in AI, data science, machine learning, or robotics capstones.
Registry Provenance & Custody
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