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.
NVIDIA's Blackwell flagship featuring 32GB of high-speed GDDR7 memory. Designed for massive LLM training and high-precision FP8 inference at scale.
| Metric | Intel Core i9-13900K | NVIDIA GeForce RTX 5090 |
|---|---|---|
| VRAM | 0GB | 32GB |
| Memory Bandwidth | 89.6 GB/s | 1792 GB/s |
| AI Throughput (TOPS) | 1.7 | 3352 |
| TDP (Power Draw) | 125W | 575W |
| Est. Price | $399.99 | $2,049.99 |