NVIDIA RTX 5080 vs Intel Arc B580
Which graphics card is better for running local language models? Here is how the NVIDIA RTX 5080 (16 GB) compares against the Intel Arc B580 (12 GB) in real memory headroom, supported model architectures, and generation speed.
NVIDIA · Blackwell
16 GB VRAM
NVIDIA RTX 5080
- Memory Bandwidth: 960 GB/s (GDDR7 256-bit)
- Fits fully in VRAM: 33 popular models
- Power Draw (TDP): 400W
- Largest recommended (Q4): 20B–22B
Intel · Battlemage
12 GB VRAM
Intel Arc B580
- Memory Bandwidth: 456 GB/s (GDDR6 192-bit)
- Fits fully in VRAM: 32 popular models
- Power Draw (TDP): 190W
- Largest recommended (Q4): 14B
The AI Local Check Verdict: Which GPU should you buy for AI?
The NVIDIA RTX 5080 is the clear winner for local AI. It provides both 4 GB more VRAM and higher memory bandwidth (960 GB/s vs 456 GB/s).
This allows it to run larger model architectures entirely in video memory while also delivering faster token generation speeds on models of all sizes.
Models that fit on NVIDIA RTX 5080, but NOT on Intel Arc B580
These models run entirely in GPU VRAM on the NVIDIA RTX 5080, but require slow system RAM offload on the Intel Arc B580:
| Model | Size | Downloads | NVIDIA RTX 5080 | Intel Arc B580 |
|---|---|---|---|---|
| MaziyarPanahi/Qwen3-32B-GGUF | 32.76B | 265,984 | Fits in VRAM | Offload (Slow) |
Other Popular GPU Comparisons
RTX 3060 12GB vs RTX 4060 8GB
Compare VRAM & Models →
RTX 4060 Ti 16GB vs RTX 4070 12GB
Compare VRAM & Models →
RTX 3090 24GB vs RTX 4090 24GB
Compare VRAM & Models →
RTX 4070 Super vs RTX 4070 Ti Super
Compare VRAM & Models →
RTX 5090 32GB vs RTX 4090 24GB
Compare VRAM & Models →
RTX 4080 Super 16GB vs RTX 4090 24GB
Compare VRAM & Models →
RTX 3060 12GB vs RTX 4060 Ti 16GB
Compare VRAM & Models →
AMD RX 7900 XTX vs NVIDIA RTX 4090
Compare VRAM & Models →