Files
gt-ai-os-community/docker-compose.x86-gpu.yml
HackWeasel b9dfb86260 GT AI OS Community Edition v2.0.33
Security hardening release addressing CodeQL and Dependabot alerts:

- Fix stack trace exposure in error responses
- Add SSRF protection with DNS resolution checking
- Implement proper URL hostname validation (replaces substring matching)
- Add centralized path sanitization to prevent path traversal
- Fix ReDoS vulnerability in email validation regex
- Improve HTML sanitization in validation utilities
- Fix capability wildcard matching in auth utilities
- Update glob dependency to address CVE
- Add CodeQL suppression comments for verified false positives

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-12 17:04:45 -05:00

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YAML

# Docker Compose x86_64 GPU Overlay
# Auto-applied by installer when NVIDIA GPU + Container Toolkit detected
# This overlay enables GPU passthrough for the vLLM embeddings container
services:
vllm-embeddings:
deploy:
resources:
# GPU mode: model loads into VRAM (~2.5GB), minimal system RAM needed
limits:
memory: 4G
reservations:
memory: 2G
devices:
- driver: nvidia
count: 1
capabilities: [gpu]
environment:
# GPU-specific settings
- CUDA_VISIBLE_DEVICES=0
- PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True
labels:
- "gt2.gpu=enabled"
- "gt2.gpu.vendor=nvidia"