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 5090
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 5090
NVIDIA's Blackwell flagship featuring 32GB of high-speed GDDR7 memory. Designed for massive LLM training and high-precision FP8 inference at scale.
- VRAM
- 32GB
- TDP
- 575W
- Bandwidth
- 1792GB/s
- AI Throughput
- 3352TOPS
Est. Price$2,049.99
Full Specification Matrix
| Metric | NVIDIA GeForce RTX 4080 Super | NVIDIA GeForce RTX 5090 |
|---|---|---|
| VRAM | 16GB | 32GB |
| Memory Bandwidth | 736 GB/s | 1792 GB/s |
| AI Throughput (TOPS) | 836 | 3352 |
| TDP (Power Draw) | 320W | 575W |
| Est. Price | $879.99 | $2,049.99 |