Architect's technical teardown: VRAM capacity, memory bandwidth, TDP, and AI throughput — compared head-to-head for local LLM workloads.
The previous generation's king. 24GB VRAM and high CUDA counts remain the industry standard for consumer AI development.
24-core powerhouse. Essential for high-speed model preprocessing, dataset tokenization, and multi-GPU load balancing.
| Metric | NVIDIA GeForce RTX 4090 | Intel Core i9-14900K |
|---|---|---|
| VRAM | 24GB | 0GB |
| Memory Bandwidth | 1008 GB/s | 89.6 GB/s |
| AI Throughput (TOPS) | 1321 | 1.8 |
| TDP (Power Draw) | 450W | 125W |
| Est. Price | $1,799.00 | $549.99 |