CPU — Intel
Intel Core i9-14900K
24-core powerhouse. Essential for high-speed model preprocessing, dataset tokenization, and multi-GPU load balancing.
- TDP
- 125W
- Bandwidth
- 89.6GB/s
- AI Throughput
- 1.8TOPS
Est. Price$549.99
Intel Core i9-14900K vs NVIDIA GeForce RTX 4080 Super
Architect's technical teardown: VRAM capacity, memory bandwidth, TDP, and AI throughput — compared head-to-head for local LLM workloads.
★ Recommended for Local AI
GPU — NVIDIA
NVIDIA GeForce RTX 4080 Super
Reliable 16GB VRAM performer. Great for high-speed inference on mid-sized language models and large-scale image generation.
- VRAM
- 16GB
- TDP
- 320W
- Bandwidth
- 736GB/s
- AI Throughput
- 836TOPS
Est. Price$879.99
Full Specification Matrix
| Metric | Intel Core i9-14900K | NVIDIA GeForce RTX 4080 Super |
|---|---|---|
| VRAM | 0GB | 16GB |
| Memory Bandwidth | 89.6 GB/s | 736 GB/s |
| AI Throughput (TOPS) | 1.8 | 836 |
| TDP (Power Draw) | 125W | 320W |
| Est. Price | $549.99 | $879.99 |