GPU — NVIDIA
NVIDIA GeForce RTX 4080 Super
Reliable 16GB VRAM performer. Great for high-speed inference on mid-sized language models and large-scale image generation.
- VRAM
- 16GB
- TDP
- 320W
- Bandwidth
- 736GB/s
- AI Throughput
- 836TOPS
Est. Price$879.99
NVIDIA GeForce RTX 4080 Super vs NVIDIA GeForce RTX 4090
Architect's technical teardown: VRAM capacity, memory bandwidth, TDP, and AI throughput — compared head-to-head for local LLM workloads.
★ Recommended for Local AI
GPU — NVIDIA
NVIDIA GeForce RTX 4090
The previous generation's king. 24GB VRAM and high CUDA counts remain the industry standard for consumer AI development.
- VRAM
- 24GB
- TDP
- 450W
- Bandwidth
- 1008GB/s
- AI Throughput
- 1321TOPS
Est. Price$1,799.00
Full Specification Matrix
| Metric | NVIDIA GeForce RTX 4080 Super | NVIDIA GeForce RTX 4090 |
|---|---|---|
| VRAM | 16GB | 24GB |
| Memory Bandwidth | 736 GB/s | 1008 GB/s |
| AI Throughput (TOPS) | 836 | 1321 |
| TDP (Power Draw) | 320W | 450W |
| Est. Price | $879.99 | $1,799.00 |