NVIDIA RTX 3090 Ti vs NVIDIA RTX 5060 Ti 16 GB
Which graphics card is better for running local language models? Here is how the NVIDIA RTX 3090 Ti (24 GB) compares against the NVIDIA RTX 5060 Ti 16 GB (16 GB) in real memory headroom, supported model architectures, and generation speed.
NVIDIA · Ampere
24 GB VRAM
NVIDIA RTX 3090 Ti
- Memory Bandwidth: 1008 GB/s (GDDR6X 384-bit)
- Fits fully in VRAM: 36 popular models
- Power Draw (TDP): 450W
- Largest recommended (Q4): 32B–34B
NVIDIA · Desktop
16 GB VRAM
NVIDIA RTX 5060 Ti 16 GB
- Memory Bandwidth: 512 GB/s (GDDR6)
- Fits fully in VRAM: 34 popular models
- Power Draw (TDP): 150W
- Largest recommended (Q4): 20B–22B
The AI Local Check Verdict: Which GPU should you buy for AI?
The NVIDIA RTX 3090 Ti is the clear winner for local AI. It provides both 8 GB more VRAM and higher memory bandwidth (1008 GB/s vs 512 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 3090 Ti, but NOT on NVIDIA RTX 5060 Ti 16 GB
These models run entirely in GPU VRAM on the NVIDIA RTX 3090 Ti, but require slow system RAM offload on the NVIDIA RTX 5060 Ti 16 GB:
| Model | Size | Downloads | NVIDIA RTX 3090 Ti | NVIDIA RTX 5060 Ti 16 GB |
|---|---|---|---|---|
| ggml-org/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF | 31.58B | 249,888 | Fits in VRAM | Offload (Slow) |
| unsloth/Qwen3-Coder-Next-GGUF | 79.67B | 169,899 | Fits in VRAM | Offload (Slow) |
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