🚀 The Build Day Has Arrived! After months of anticipation and planning, the RTX 5090 finally launched and it was time to bring my AI/ML powerhouse to life.
This is more than just a computer build - it’s the foundation for exploring the cutting edge of artificial intelligence and machine learning. Every component was carefully selected to maximize performance for training neural networks, running inference, and pushing the boundaries of what’s possible with consumer AI hardware.
📸 Complete Visual Documentation - Follow along with 25 high-resolution photos and exclusive first-boot video footage as I transform a pile of premium components into a purpose-built AI training beast.
Step 1: Initial Setup (~20 minutes)
Starting with all components laid out and ready to go.
All components unboxed and ready for assembly
Getting a closer look at the key components
Step 2: Case Preparation (~15 minutes)
Preparing the case and initial component placement
Case setup from another angle
Step 3: Initial Assembly (~30 minutes)
First components going into the case
Making progress with the build
Installing key components
Step 4: Component Installation (~45 minutes)
Significant progress made
Another view of the assembly
Major components now installed
Chassis assembly nearing completion
Step 5: Major Assembly (~1 hour)
Working on final assembly details
Ensuring everything fits properly
Major assembly milestone reached
Step 6: Cable Management (~30 minutes)
Starting the cable management process
Routing cables for optimal airflow
Achieving clean cable routing
Step 7: System Testing (~45 minutes)
Initial system testing phase
Verifying all connections
Running final system checks
Testing power delivery and stability
RTX 5090 First Boot Test
Before committing to the final case assembly, I wanted to test the RTX 5090 to ensure it was working properly. Here’s the moment of truth - the first time powering up the card:
This was a crucial step in the build process. Testing the GPU outside the case allowed me to verify functionality and ensure all power connections were solid before doing the final assembly and cable management.
Step 8: Final Assembly & Completion (~1.5 hours)
System nearing final completion
Final assembly steps
The completed AI workstation
Another view of the finished build
Build Summary
The entire build took approximately 6 hours from start to finish, with the bulk of the time spent on:
- Careful component installation to avoid any damage
- Meticulous cable management for optimal airflow
- Multiple test boots to ensure stability
- Fine-tuning component placement
Key Learnings
- Cable management is crucial - Took extra time but resulted in much better airflow
- Test early and often - Multiple test boots caught potential issues early
- RTX 5090 installation - Required careful handling due to size and weight
- Power delivery - Ensuring adequate power connectors for the high-end GPU
Next Steps
With the hardware build complete, the next phase involves:
- OS installation and driver setup
- AI/ML framework installation (CUDA, PyTorch, etc.)
- Performance benchmarking
- First training runs
Stay tuned for the software setup and initial performance results!
Build completed on September 20th, 2025 | Total build time: ~6 hours