GPU — NVIDIA
NVIDIA GeForce RTX 4070 Super
High value 12GB performer. Excellent efficiency and enough VRAM for 8B models with high-context K-V cache needs.
- VRAM
- 12GB
- TDP
- 220W
- Bandwidth
- 504GB/s
- AI Throughput
- 568TOPS
Est. Price$609.99
NVIDIA GeForce RTX 4070 Super vs NVIDIA GeForce RTX 4080 Super
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 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
Full Specification Matrix
| Metric | NVIDIA GeForce RTX 4070 Super | NVIDIA GeForce RTX 4080 Super |
|---|---|---|
| VRAM | 12GB | 16GB |
| Memory Bandwidth | 504 GB/s | 736 GB/s |
| AI Throughput (TOPS) | 568 | 836 |
| TDP (Power Draw) | 220W | 320W |
| Est. Price | $609.99 | $879.99 |