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 5090
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 5090
NVIDIA's Blackwell flagship featuring 32GB of high-speed GDDR7 memory. Designed for massive LLM training and high-precision FP8 inference at scale.
- VRAM
- 32GB
- TDP
- 575W
- Bandwidth
- 1792GB/s
- AI Throughput
- 3352TOPS
Est. Price$2,049.99
Full Specification Matrix
| Metric | Intel Core i9-14900K | NVIDIA GeForce RTX 5090 |
|---|---|---|
| VRAM | 0GB | 32GB |
| Memory Bandwidth | 89.6 GB/s | 1792 GB/s |
| AI Throughput (TOPS) | 1.8 | 3352 |
| TDP (Power Draw) | 125W | 575W |
| Est. Price | $549.99 | $2,049.99 |