Architect's technical teardown: VRAM capacity, memory bandwidth, TDP, and AI throughput — compared head-to-head for local LLM workloads.
24-core Raptor Lake flagship. High P-core and E-core counts deliver excellent multi-threaded AI preprocessing, dataset tokenization, and concurrent model loading speeds.
Reliable 16GB VRAM performer. Great for high-speed inference on mid-sized language models and large-scale image generation.
| Metric | Intel Core i9-13900K | NVIDIA GeForce RTX 4080 Super |
|---|---|---|
| VRAM | 0GB | 16GB |
| Memory Bandwidth | 89.6 GB/s | 736 GB/s |
| AI Throughput (TOPS) | 1.7 | 836 |
| TDP (Power Draw) | 125W | 320W |
| Est. Price | $399.99 | $879.99 |