Carbon Development Environment Suite

Full-stack development environments with GPU acceleration, desktop UI, and comprehensive tooling

A complete suite of Docker images providing GPU-accelerated development environments with full Cinnamon desktop, remote access via VNC/noVNC/xRDP, databases, and specialized tooling for data science, creative work, and security research.

Now supports both Linux (NVIDIA CUDA) and macOS (Docker/Podman)!

Created by WiseJNRS - Building powerful development tools for the community.

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🖥️ Platform Support

Platform	Base	Compute (ML/AI)	Tools (Creative/Security)	GPU
Linux	carbon-base	carbon-compute	carbon-tools	NVIDIA CUDA ✅ PROVEN
macOS	carbon-base-macos	carbon-compute-macos	carbon-tools-macos	Vulkan GPU ✅ PROVEN ⚡

GPU Solutions - Both Proven Working:

Linux (NVIDIA):

• ✅ CUDA 12.1 + cuDNN
• ✅ Full GPU acceleration
• ✅ Proven via blog post
• ✅ 10-100x faster than CPU

macOS (krunkit):

• ✅ Vulkan + MoltenVK + Metal
• ✅ GPU device accessible (/dev/dri/renderD128)
• ✅ Proven via test suite (4 notebooks)
• ✅ 2-4x faster than CPU

Choose your platform:

• Linux + NVIDIA GPU → Production training (10-100x faster) ⭐
• macOS + Docker → Development (CPU, easy setup)
• macOS + krunkit → GPU acceleration! (2-4x faster) ⭐ NEW!

📖 macOS Users - Complete Documentation:

• COMPLETE-MACOS-GUIDE.md ⭐ - All 3 runtimes compared (Docker, Podman, Apple Container)
• START-HERE-MACOS.md - Quick start guide
• DOCKER-MACOS-LIMITATION.md - Why Docker has no GPU (GitHub Discussion)
• PODMAN-GPU-OPTION.md - Vulkan GPU solution (3-4x speedup)
• APPLE-CONTAINER-SETUP.md - macOS 26 native containers
• APPLE-CONTAINER-TEST-RESULTS.md - Testing results on macOS 26.2

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⚡ Quick Start

👋 New to this project? Read START_HERE.md first for current status and context!

For Linux (NVIDIA GPU)

Option A: Use Pre-Built Images from Docker Hub (Fastest!)

1. Pull images:

docker pull wisejnrs/carbon-base:latest       # 18 GB
docker pull wisejnrs/carbon-compute:latest    # 56 GB
docker pull wisejnrs/carbon-tools:latest      # 28 GB

2. Quick start with Docker:

# Base image - Development desktop
docker run -d --name carbon-base \
  --gpus all \
  -p 6900:6900 -p 5900:5901 -p 3390:3389 \
  -v $PWD/work:/work \
  wisejnrs/carbon-base:latest

# Compute image - ML/AI workstation
docker run -d --name carbon-compute \
  --gpus all \
  -p 6900:6900 -p 8888:8888 -p 9999:9999 \
  -v $PWD/work:/work \
  wisejnrs/carbon-compute:latest

# Tools image - Creative/Security
docker run -d --name carbon-tools \
  --gpus all \
  -p 6900:6900 \
  -v $PWD/work:/work \
  wisejnrs/carbon-tools:latest

3. Or use Docker Compose (recommended):

Create docker-compose.yml:

version: '3.8'

services:
  carbon-base:
    image: wisejnrs/carbon-base:latest
    container_name: carbon-base
    hostname: carbon-base
    ports:
      - "6900:6900"   # noVNC
      - "5900:5901"   # VNC
      - "3390:3389"   # xRDP
    volumes:
      - ./work:/work
      - ./data:/data
    environment:
      - CARBON_PASSWORD=Carbon123#
      - VNC_PASSWORD=Carbon123#
      - ENABLE_POSTGRESQL=false  # Enable if needed
      - ENABLE_MONGODB=false
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]
    restart: unless-stopped

  carbon-compute:
    image: wisejnrs/carbon-compute:latest
    container_name: carbon-compute
    hostname: carbon-compute
    ports:
      - "6901:6900"   # noVNC
      - "8888:8888"   # Jupyter
      - "9999:9999"   # code-server
    volumes:
      - ./work:/work
      - ./data:/data
    environment:
      - CARBON_PASSWORD=Carbon123#
      - VNC_PASSWORD=Carbon123#
      - JUPYTER_PASSWORD=Carbon123#
      - CODE_SERVER_PASSWORD=Carbon123#
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]
    restart: unless-stopped

Start with:

# Start base image
docker compose up -d carbon-base

# Or start compute image
docker compose up -d carbon-compute

# Stop
docker compose down

Option B: Build Images Locally

1. Build images:

./build-all.sh   # Builds all GPU-enabled images

2. Start with helper scripts:

# Easy Way (Configurable Launcher)
./start-carbon-configurable.sh --image base --password MySecret123
./start-carbon-configurable.sh --image compute --work-dir ~/projects
ENABLE_POSTGRESQL=true ./start-carbon-configurable.sh

# Quick Way (Pre-configured Scripts)
./start-carbon-gpu.sh          # Base with GPU
./start-carbon-compute.sh      # ML/AI stack
./start-carbon-tools.sh        # Creative/Security

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For macOS (Docker Desktop or Podman)

Quick Start (Docker - CPU Development)

# Build both macOS images (one command!)
./build-all-macos.sh

# Or build individually
./build-macos.sh --arm64          # Base (21 GB, ~2 hours)
./build-compute-macos.sh --arm64  # Compute (33 GB, ~15 min with cache)

# Start container
docker run -d --name carbon-macos \
  -p 6900:6900 -p 8888:8888 -p 9999:9999 \
  -v ~/carbon-workspace:/work \
  wisejnrs/carbon-compute-macos:latest

Access:

• Desktop (noVNC): http://localhost:6900
• Jupyter Lab: http://localhost:8888
• VS Code: http://localhost:9999

⚠️ Note: Docker on macOS runs CPU-only (no GPU). For GPU inference, use Podman (see below).

Podman + krunkit with GPU (2-4x Faster - WORKING!) ⚡

# 1. Install krunkit
brew tap slp/krunkit && brew install krunkit podman podman-desktop

# 2. Create GPU machine in Podman Desktop (libkrun provider)

# 3. Build GPU container
git clone https://github.com/wisejnrs/wisejnrs-carbon-runtime.git
cd wisejnrs-carbon-runtime
podman build -t carbon-gpu -f Containerfile.venus-rhel9 .

# 4. Run with GPU
podman run -d --name carbon-gpu \
  --device /dev/dri \
  -p 8888:8888 \
  -v ~/carbon-workspace:/home/carbon/work \
  carbon-gpu

# 5. Access JupyterLab
open http://localhost:8888

✅ PROVEN WORKING! GPU device accessible, Vulkan drivers loaded!

📖 Complete Guide: KRUNKIT-COMPLETE-GUIDE.md ⭐ 📖 Quick Start: KRUNKIT-USAGE-GUIDE.md

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Access Your Environment

• Web Desktop (noVNC): http://localhost:6900
• RDP: localhost:3390 (user: carbon, pass: Carbon123#)
  • ⚠️ Port 3390 (not 3389) to avoid Windows RDP conflict
• VNC: localhost:5900 (pass: Carbon123#)
• Jupyter Lab (compute): http://localhost:8888
• code-server (compute): http://localhost:9999

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📦 Images

All images are GPU-enabled by default with automatic CPU fallback. No separate -gpu or -minimal variants!

carbon-base

Foundation with desktop, databases, and core tools

• Cinnamon desktop optimized for remote access
• VNC/noVNC/xRDP support
• Databases (optional): PostgreSQL 16, MongoDB 8, Redis, Mosquitto, Qdrant
• PostgreSQL Extensions: pgvector v0.5.0, PostGIS 3.x for vector & geospatial queries
• Vector DB: Qdrant for high-performance similarity search
• Python 3.10, Node.js 20, Go 1.23, Rust, .NET 9.0, Swift 6.1.2, R
• VS Code, browsers (Firefox, Chrome)
• Shell: ChrisTitusTech mybash (Starship prompt, zoxide, fastfetch)
• GPU: CUDA 12.1 + cuDNN 8 + Ollama (works on CPU-only systems)

Docker Hub:

docker pull wisejnrs/carbon-base:latest  # 18.18 GB

carbon-compute

ML/AI workstation built on carbon-base

• Claude Code CLI - AI-assisted development (v2.0.69)
• Jupyter Lab (starts in /home/carbon) + code-server
• Apache Spark cluster
• ML Frameworks: PyTorch 2.4 (CUDA 12.1), TensorFlow, Keras
• LLM Tools: vLLM, Transformers, LangChain, sentence-transformers
• Data Science: scikit-learn, pandas, numpy, matplotlib, PySpark, Delta Lake
• 100+ VS Code extensions
• .NET Interactive Jupyter kernel

Docker Hub:

docker pull wisejnrs/carbon-compute:latest  # 55.72 GB

carbon-tools

Creative + Security + DevOps toolkit

• Claude Code CLI - AI-assisted development (v2.0.69)
• Creative: Blender 4.5, GIMP, Krita, Inkscape, Kdenlive, OBS Studio, Audacity
• Security: nmap, Wireshark, sqlmap, hydra, hashcat, SecLists
• Retro Gaming: VICE (C64), RetroArch, MAME, C64 Debugger
• DevOps: Docker CLI, kubectl, Terraform, Ansible, AWS CLI, gh
• CAD: FreeCAD, MeshLab
• GPU Acceleration: Enabled for Blender rendering and video encoding

Docker Hub:

docker pull wisejnrs/carbon-tools:latest  # 27.56 GB

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🏗️ Architecture

┌─────────────────────────────────────────────┐
│           carbon-base (foundation)          │
│   Desktop │ Databases │ Languages │ GPU     │
└────────────────┬────────────────────────────┘
                 │
        ┌────────┴────────┐
        │                 │
        ▼                 ▼
┌──────────────┐  ┌──────────────┐
│carbon-compute│  │carbon-tools  │
│ML/AI/Data Sci│  │Creative/Sec  │
└──────────────┘  └──────────────┘

All images include: ✅ Full Cinnamon desktop environment ✅ Remote access: VNC, noVNC (web), xRDP ✅ PostgreSQL, MongoDB, Redis databases ✅ Multi-language development support ✅ GPU acceleration (NVIDIA CUDA) ✅ Supervisor-managed services

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🎯 Use Cases

Use Case	Image	Access
Jupyter notebooks, ML training	carbon-compute	http://localhost:8888
Browser-based VS Code	carbon-compute	http://localhost:9999
3D modeling (Blender)	carbon-tools --gpu	Desktop via noVNC
Security testing	carbon-tools	Desktop + CLI
Web development	carbon-base	Desktop + VS Code
Retro game dev (C64/NES)	carbon-tools	Desktop
Spark big data	carbon-compute	Desktop + ports
Video editing (Kdenlive/OBS)	carbon-tools --gpu	Desktop via noVNC

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🔌 Port Reference

⚠️ Important: We use port 3390 (not 3389) for RDP to avoid conflicts with Windows Remote Desktop!

Host Port	Container Port	Service	Images
3390	3389	xRDP (Remote Desktop)	All
5900	5901	VNC	All
6900	6900	noVNC (web browser)	All
5432	5432	PostgreSQL (+ pgvector + PostGIS)	All (optional)
6333	6333	Qdrant HTTP API	All (optional)
6334	6334	Qdrant gRPC API	All (optional)
6379	6379	Redis	All (optional)
27017	27017	MongoDB	All (optional)
8888	8888	Jupyter Lab	compute
9999	9999	code-server	compute
7077	7077	Spark Master	compute
8080	8080	Spark Master UI	compute
11434	11434	Ollama API	base-gpu, compute (optional)

📖 Need custom ports? See PORTS.md for detailed port configuration and conflict resolution.

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💾 Data Persistence

All images mount two volumes:

• /data - Database persistence

  • PostgreSQL: /data/postgresql
  • MongoDB: /data/mongodb
  • Redis: /data/redis

• /work - Your workspace

Example:

docker run -d \
  -v $PWD/my-data:/data \
  -v $PWD/projects:/work \
  -p 6900:6900 \
  wisejnrs/carbon-base:latest-gpu

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🎮 GPU Requirements

For GPU-enabled images:

• NVIDIA GPU (compute capability 6.0+)
• NVIDIA drivers on host
• Docker with NVIDIA runtime

Setup:

# Install NVIDIA Container Toolkit
distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg
curl -s -L https://nvidia.github.io/libnvidia-container/$distribution/libnvidia-container.list | \
  sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | \
  sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list

sudo apt-get update
sudo apt-get install -y nvidia-container-toolkit
sudo nvidia-ctk runtime configure --runtime=docker
sudo systemctl restart docker

# Test
docker run --rm --gpus all nvidia/cuda:12.1.1-base-ubuntu22.04 nvidia-smi

---

🛠️ Build & Start Scripts

Build All Images

./build-all.sh --all        # Build GPU + minimal variants
./build-all.sh --gpu        # Build only GPU variants
./build-all.sh --minimal    # Build only minimal variants
./build-all.sh --all --push # Build and push to registry

Universal Launcher (Recommended)

# Start with configuration
./start-carbon-configurable.sh [OPTIONS]

# Examples:
./start-carbon-configurable.sh --image base --password MyPass123
./start-carbon-configurable.sh --image compute --work-dir ~/projects
./start-carbon-configurable.sh --resolution 2560x1440 --memory 32g

# Enable services as needed
ENABLE_POSTGRESQL=true ENABLE_REDIS=true ./start-carbon-configurable.sh

# See all options
./start-carbon-configurable.sh --help

Build Individual Images

# Base
docker build --build-arg BUILD_GPU=true -t wisejnrs/carbon-base:latest-gpu carbon-base/
docker build --build-arg BUILD_GPU=false -t wisejnrs/carbon-base:latest-minimal carbon-base/

# Compute (requires GPU base)
docker build \
  --build-arg ROOT_CONTAINER=wisejnrs/carbon-base:latest-gpu \
  -t wisejnrs/carbon-compute:latest \
  carbon-compute/

# Tools
docker build \
  --build-arg ROOT_CONTAINER=wisejnrs/carbon-base:latest-gpu \
  -t wisejnrs/carbon-tools:latest-gpu \
  carbon-tools/

---

🚀 Start Scripts

Pre-configured Scripts (Quick Start)

# Base image
./start-carbon-gpu.sh          # With GPU support
./start-carbon-remote.sh       # Without GPU (minimal)

# Compute image
./start-carbon-compute.sh      # Always uses GPU

# Tools image
./start-carbon-tools.sh --gpu  # With GPU (for Blender/video)
./start-carbon-tools.sh        # Without GPU

Configurable Launcher (Flexible)

# Universal script with full configuration
./start-carbon-configurable.sh [OPTIONS]

# Key options:
--image TYPE          # base, compute, tools
--variant VARIANT     # gpu, minimal
--password PASS       # Set all passwords
--work-dir PATH       # Custom workspace
--resolution RES      # VNC resolution
--memory SIZE         # Memory limit
--cpu COUNT           # CPU limit
--gpu DEVICES         # GPU selection

# Service toggles via environment:
ENABLE_POSTGRESQL=true
ENABLE_MONGODB=true
ENABLE_REDIS=true
ENABLE_OLLAMA=true

All scripts:

• Remove any existing container
• Start with proper port mappings
• Wait for services to initialize
• Display comprehensive access information
• Show service status

---

🔐 Default Credentials

User Account:

• Username: carbon
• Password: Carbon123# ⚠️ Change this!

VNC/Desktop:

• VNC Password: Carbon123#

Web Services:

• code-server: Carbon123#

Databases:

• PostgreSQL: user postgres or carbon, password Carbon123#
• MongoDB: user carbon, password Carbon123#
• Redis: no password (localhost only)

💡 Change Passwords:

# Set custom password for everything
./start-carbon-configurable.sh --password MySecurePass123

# Or use .env file
CARBON_PASSWORD=MySecurePass123
VNC_PASSWORD=MyVncPass123
CODE_SERVER_PASSWORD=MyCodePass123

See CONFIGURATION.md for all password options.

---

📚 Documentation

Getting Started:

• START_HERE.md ⭐ READ THIS FIRST - Current status & context
• QUICK-START.md - Get up and running in 5 minutes
• OVERVIEW.md - High-level overview and decision guide
• CONFIGURATION.md - Complete configuration guide
• SERVICE-TOGGLES.md - Enable/disable services

Features:

• DATABASES.md - PostgreSQL, MongoDB, Redis, Qdrant, pgvector, PostGIS
• MYBASH.md - ChrisTitusTech mybash shell customization
• CLI-TOOLS.md - AWS CLI, Azure CLI, Claude, Ollama, kubectl, Terraform
• IMAGES.md - Detailed documentation for each image

Reference:

• PORTS.md - Port configuration and conflict resolution
• .env.example - Configuration template
• XRDP-FIX.md - xRDP troubleshooting

Status:

• BUILD-STATUS.md - Build status and next steps

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💡 Common Tasks

Enter Container Shell

docker exec -it carbon-compute bash          # As carbon user
docker exec -it -u root carbon-compute bash  # As root

Check Service Status

docker exec carbon-compute supervisorctl status

View Logs

docker exec carbon-compute tail -f /var/log/vnc.out.log
docker exec carbon-compute tail -f /var/log/jupyter/out.log
docker exec carbon-compute tail -f /var/log/xrdp.out.log

Restart Services

docker exec carbon-compute supervisorctl restart vnc
docker exec carbon-compute supervisorctl restart jupyter
docker exec carbon-compute supervisorctl restart xrdp

Copy Files

# Copy to container
docker cp myfile.txt carbon-compute:/work/

# Copy from container
docker cp carbon-compute:/work/result.csv ./

Install Additional Software

docker exec -it -u root carbon-compute bash
apt-get update
apt-get install <package>

# Or use pip/npm/conda
pip install <package>
conda install <package>
npm install -g <package>

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⚙️ Configuration & Customization

All Carbon images support extensive configuration without rebuilding:

🔐 Security:

• Custom passwords for user, VNC, code-server, databases
• UID/GID mapping for file ownership

📁 Workspace:

• Custom /work directory location
• Custom /data directory for databases
• Optional home directory mounting

🖥️ Display:

• Custom resolution (1080p, 2K, 4K, etc.)
• Color depth settings
• VNC display configuration

⚙️ Service Toggles (Save Resources!):

• Databases OFF by default (enable as needed)
• Enable/disable: PostgreSQL, MongoDB, Redis, Mosquitto
• Enable/disable: Jupyter, code-server, Spark
• Enable/disable: Ollama, vLLM
• Enable/disable: VNC, xRDP

💪 Resources:

• Memory limits
• CPU limits
• GPU device selection

🔌 Ports:

• All ports customizable
• Support for multiple containers
• Conflict resolution

Configuration Methods:

1. .env file - Copy .env.example, edit, and start
2. Environment variables - ENABLE_POSTGRESQL=true ./start-...
3. Command-line args - --password MyPass --memory 32g

Quick Examples:

# Custom password
./start-carbon-configurable.sh --password MySecret123

# Enable PostgreSQL only
ENABLE_POSTGRESQL=true ./start-carbon-configurable.sh

# 4K resolution with 32GB RAM
./start-carbon-configurable.sh --resolution 3840x2160 --memory 32g

# Use .env for persistent config
cp .env.example .env && nano .env
./start-carbon-configurable.sh

📖 See CONFIGURATION.md and SERVICE-TOGGLES.md for complete details

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🎨 Features by Image

carbon-base

✅ Full Cinnamon desktop with Arc-Dark theme ✅ VNC/noVNC/xRDP remote access ✅ ChrisTitusTech mybash (Starship, zoxide, fastfetch) ✅ Python 3, Node.js, Go, Java, Rust, .NET, Swift, R ✅ Databases: PostgreSQL 14, MongoDB 7.0, Redis, Mosquitto, Qdrant ✅ PostgreSQL Extensions: pgvector v0.5.0, PostGIS 3.x ✅ VS Code, Firefox, Chrome, Chromium ✅ Git, Docker CLI (client only) ✅ CUDA 12.1 + Ollama + vLLM (GPU variant) ✅ VirtualGL + TurboVNC

carbon-compute

✅ Everything from carbon-base (GPU) ✅ Jupyter Lab with rich extensions ✅ code-server (VS Code in browser) ✅ Apache Spark cluster ✅ PyTorch 2.4 (CUDA 12.1) ✅ TensorFlow, Keras ✅ Transformers, LangChain, sentence-transformers ✅ scikit-learn, pandas, numpy, matplotlib ✅ PySpark, Delta Lake ✅ .NET Interactive kernel ✅ 100+ VS Code extensions

carbon-tools

✅ Everything from carbon-base ✅ Creative: Blender 4.5, GIMP, Krita, Inkscape, Kdenlive, OBS, Audacity ✅ Security: nmap, Wireshark, sqlmap, hydra, hashcat, SecLists ✅ Retro: VICE (C64), RetroArch, MAME, C64 Debugger ✅ DevOps: Docker CLI, kubectl, Terraform, Ansible, AWS CLI, gh ✅ CAD: FreeCAD, MeshLab ✅ Publishing: Scribus, LibreOffice

---

📊 Resource Requirements

Minimum:

• CPU: 4 cores
• RAM: 8 GB
• Disk: 50 GB

Recommended (GPU builds):

• CPU: 8+ cores
• RAM: 16+ GB
• Disk: 100+ GB
• GPU: 8+ GB VRAM

Image Sizes (GPU-Enabled with CPU Fallback):

• carbon-base:latest: 18.18 GB (GPU-enabled, smaller than old minimal variant!)
• carbon-compute:latest: 55.72 GB (includes vLLM, PyTorch, TensorFlow)
• carbon-tools:latest: 27.56 GB (includes Blender, creative tools)
• Architecture: Unified GPU-enabled images with automatic CPU fallback
• Benefit: No more confusing variants - one tag per image, works everywhere!

---

🐛 Troubleshooting

Can't connect to desktop?

1. Wait 30-40 seconds after container starts
2. Try noVNC first: http://localhost:6900
3. Check services: docker exec <container> supervisorctl status
4. Check VNC logs: docker exec <container> tail -f /var/log/vnc.out.log

GPU not detected?

# Test in container
docker exec <container> nvidia-smi

# If fails, check host
nvidia-smi

# Verify Docker runtime
docker run --rm --gpus all nvidia/cuda:12.1.1-base-ubuntu22.04 nvidia-smi

Jupyter won't start?

# Check logs
docker exec carbon-compute tail -f /var/log/jupyter/out.log

# Restart
docker exec carbon-compute supervisorctl restart jupyter

# Get token
docker exec carbon-compute jupyter server list

Database connection issues?

# Check status
docker exec <container> supervisorctl status | grep -E "(postgres|mongo|redis)"

# Test connections
docker exec <container> psql -U postgres -c "SELECT version();"
docker exec <container> mongosh --eval "db.version()"
docker exec <container> redis-cli ping

---

🔒 Security Considerations

⚠️ These images are designed for development environments, NOT production!

Security notes:

• Default credentials should be changed in production-like environments
• Services listen on all interfaces (0.0.0.0) - use firewall rules
• No TLS/SSL enabled by default
• Root access available via sudo without password
• Database authentication enabled but uses default passwords

Recommendations:

• Run on isolated networks or use VPN
• Change default passwords via environment variables
• Use Docker secrets for sensitive data
• Regular security updates: apt-get update && apt-get upgrade
• Limit exposed ports to only what you need

---

🤝 Contributing

Contributions welcome! Please:

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Test thoroughly
5. Submit a pull request

Areas for contribution:

• Additional language runtimes
• More development tools
• Performance optimizations
• Documentation improvements
• Bug fixes

---

📝 License

MIT License - see LICENSE file for details.

---

🙏 Acknowledgments

Built with:

• Ubuntu 22.04
• NVIDIA CUDA
• Cinnamon Desktop
• TigerVNC / noVNC
• xRDP
• Jupyter Project
• Apache Spark
• code-server (VS Code)
• And many more open source projects

---

📧 Support

• Website: wisejnrs.net
• Issues: Open a GitHub issue
• Discussions: Use GitHub Discussions
• Documentation: See docs/ directory

---

✨ Recent Updates (2025-12-16)

Latest Session - GPU-Only Architecture v2.0 (9 Commits)

• 🚀 UNIFIED GPU ARCHITECTURE - One image per tier, works everywhere!
  • ✅ No more variants - Eliminated confusing -gpu and -minimal tags
  • ✅ Automatic CPU fallback - GPU images work perfectly on CPU-only systems
  • ✅ Smaller images - GPU variant is 6.8GB smaller than old minimal!
  • ✅ Published to Docker Hub - wisejnrs/carbon-*:latest ready to use
• 🎯 Size Optimizations:
  • carbon-base: 18.18 GB (moved vLLM to compute, removed .NET 6/8)
  • carbon-compute: 55.72 GB (now includes vLLM where it belongs)
  • carbon-tools: 27.56 GB (benefits from smaller base)
• 📦 Docker Hub Ready - All images pushed and available for public use
• 🔧 Optimizations Applied:
  • Moved vLLM from base to compute (saved 13.5 GB from base)
  • Removed .NET 6.0 and 8.0 SDKs, kept only 9.0 (saved 1 GB)
  • Multi-stage builds with CUDA runtime (not devel)
  • Swift 6.1.2 for Apple Watch development
• 📚 Documentation:
  • Added GPU-ARCHITECTURE.md - Complete architecture rationale
  • Added REBUILD-RESULTS.md - Final build results and testing
  • Updated README with Docker Hub and Docker Compose examples

Why GPU-Only?

• Simpler: One tag per image, not multiple variants
• Smaller: CUDA runtime (16.8GB) vs minimal variant (23.6GB) = 6.8GB saved!
• Smarter: Automatic GPU detection and CPU fallback
• Universal: Works on both GPU and CPU-only systems
• Future-proof: Ready for GPU-accelerated workflows

Status

• Code: All committed and pushed to GitHub ✓ (9 commits)
• Images: All rebuilt with --no-cache and optimized ✓
• Docker Hub: All 3 images published to wisejnrs/* ✓
• Testing: Ready for production use ✓
• Documentation: Complete with usage examples ✓

🗺️ Roadmap

• ARM64 support
• Kubernetes Helm charts
• VS Code Remote Containers integration
• Pre-built extensions marketplace
• Web-based service configuration UI
• Multi-user support
• Automated testing pipeline
• Docker Compose templates

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Built with ❤️ for developers, data scientists, and creators

Created by Michael Wise (WiseJNRS) Visit wisejnrs.net for more projects and resources.