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 4070 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 4070 Super
High value 12GB performer. Excellent efficiency and enough VRAM for 8B models with high-context K-V cache needs.
- VRAM
- 12GB
- TDP
- 220W
- Bandwidth
- 504GB/s
- AI Throughput
- 568TOPS
Est. Price$609.99
Full Specification Matrix
| Metric | Intel Core i9-14900K | NVIDIA GeForce RTX 4070 Super |
|---|---|---|
| VRAM | 0GB | 12GB |
| Memory Bandwidth | 89.6 GB/s | 504 GB/s |
| AI Throughput (TOPS) | 1.8 | 568 |
| TDP (Power Draw) | 125W | 220W |
| Est. Price | $549.99 | $609.99 |