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.
Reliable 16GB VRAM performer. Great for high-speed inference on mid-sized language models and large-scale image generation.
| Metric | NVIDIA GeForce RTX 4090 | NVIDIA GeForce RTX 4080 Super |
|---|---|---|
| VRAM | 24GB | 16GB |
| Memory Bandwidth | 1008 GB/s | 736 GB/s |
| AI Throughput (TOPS) | 1321 | 836 |
| TDP (Power Draw) | 450W | 320W |
| Est. Price | $1,799.00 | $879.99 |