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 5080
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 5080
The Blackwell prosumer sweet spot. GDDR7 bandwidth delivers exceptional tokens-per-second for 30B+ parameter models in a single-GPU configuration.
- VRAM
- 16GB
- TDP
- 360W
- Bandwidth
- 960GB/s
- AI Throughput
- 1801TOPS
Est. Price$1,349.99
Full Specification Matrix
| Metric | NVIDIA GeForce RTX 4080 Super | NVIDIA GeForce RTX 5080 |
|---|---|---|
| VRAM | 16GB | 16GB |
| Memory Bandwidth | 736 GB/s | 960 GB/s |
| AI Throughput (TOPS) | 836 | 1801 |
| TDP (Power Draw) | 320W | 360W |
| Est. Price | $879.99 | $1,349.99 |