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 5070 Ti
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 5070 Ti
High-efficiency inference engine. 16GB of VRAM allows for local hosting of Llama 3 70B (distilled) and high-speed Qwen 2.5 workflows.
- VRAM
- 16GB
- TDP
- 300W
- Bandwidth
- 896GB/s
- AI Throughput
- 1406TOPS
Est. Price$499.99
Full Specification Matrix
| Metric | NVIDIA GeForce RTX 4080 Super | NVIDIA GeForce RTX 5070 Ti |
|---|---|---|
| VRAM | 16GB | 16GB |
| Memory Bandwidth | 736 GB/s | 896 GB/s |
| AI Throughput (TOPS) | 836 | 1406 |
| TDP (Power Draw) | 320W | 300W |
| Est. Price | $879.99 | $499.99 |