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