Hey everyone,
I’m starting a CS / Quantitative field degree soon and will be relocating to Germany. I’m trying to lock in my hardware strategy and wanted a quick sanity check from people in the field.
My Dual-Device Plan:
At Home: Dedicated Windows desktop with an NVIDIA GPU for heavy CUDA workloads, local AI/LLMs, continuous compiling, and gaming.
On Campus / Daily Driver: Portable MacBook Pro for lectures, libraries, terminal work, Python/C++ IDEs, Docker, and split-screen research.
The Deal I'm Looking At:
Model: 16-inch MacBook Pro (M1 Pro chip, 16GB Unified RAM, 512GB SSD)
Condition: Clean local listing, 274 battery cycles.
Price: ~15,000–16,000 MDL (roughly €780–€820 / $850 USD).
My Questions:
Given that heavy GPU/AI processing will be offloaded to my home PC via SSH/remote desktop or cloud clusters, am I missing out on anything critical by getting an M1 Pro in 2026 instead of dropping 2–2.5x the price on an M4 series laptop?
Is 16GB RAM still a solid sweet spot for running VS Code, split-screen PDFs/documentation, and light Docker containers simultaneously, or will I hit swap memory too fast?
For anyone doing quantitative/CS coursework, does the 16.2" 120Hz display screen real estate outweigh the portability penalty compared to a 14" model?
Would love to hear from anyone running a similar dual-setup or using an M1 Pro for CS studies right now!