Quick overview
Windows PC vs Mac for local LLMs: discrete VRAM vs Apple unified memory, tooling, and upgrade paths in India.
Windows desktops with NVIDIA GPUs dominate flexible tooling and upgrade paths. Apple Silicon Macs trade discrete VRAM for unified memory that can host larger models on paper, but at Apple prices and with limited post-purchase GPU upgrades. Indian buyers should compare rupees per gigabyte of effective model memory, not brand loyalty alone.
Quick answer
Choose Windows if you want scalable GPUs and the widest engine support. Choose Apple if you value quiet power efficiency and accept soldered memory tiers. Both still obey weight plus KV cache math.
Windows + discrete GPU
- Upgrade GPU later
- CUDA ecosystem depth
- Larger cases for cooling in hot cities
Apple Silicon
- Unified memory acts as VRAM pool
- Excellent efficiency per watt
- RAM tier chosen at purchase is hard to change
Apple's GPU memory share rules differ by total RAM; verify current Apple documentation when sizing Mac Studio or MacBook purchases.
Linux third path
Many labs run Linux on the same hardware as Windows for server-style Ollama hosts. Hardware sizing rules stay identical.
Cross links
AI PC basics and VRAM guide.
How Roger N Reckon can help
Roger N Reckon builds and supports Windows workstations in Delhi NCR. Mac users can still use our guidance articles; hardware service focus is on custom PCs.
Practical checklist
1. Write down the model size, quant level, and target context length you need. 2. Measure current GPU VRAM, system RAM, and free NVMe space before buying parts. 3. Confirm PSU wattage against the GPU vendor's required system power. 4. Plan cooling for sustained inference, not just short benchmarks. 5. Back up data before OS or hardware changes. 6. Request a written component list, testing scope, and warranty terms for any build or upgrade. 7. Re-test with the same prompt and context after changes.
Frequently Asked Questions
Is M4 16 GB enough for 32B?
Usually not comfortably; high unified memory tiers handle larger models.
Can I run Ollama on both?
Yes, with platform-specific builds.
Which is cheaper long term in India?
Compare upgradeability: Windows towers can swap GPUs; Macs often need full machine replacement to scale memory.
Do Macs need cleaning?
Yes, dust still blocks airflow on laptops and Mac Studio vents.
Is Hackintosh relevant?
Not for reliable business inference; skip for production use.
Final takeaway
Pick platform based on memory economics and who will maintain the machine in three years.