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NVIDIA GPU

NVIDIA GeForce RTX 3080 Ti

The NVIDIA GeForce RTX 3080 Ti has 12GB of VRAM and 912.4 GB/s of memory bandwidth. Its sweet spot tops out around Mistral-Nemo-Instruct-2407 — the largest model that loads cleanly at a quality quant with llama.cpp at 8K context.

VRAM
12 GB
Memory bandwidth
912.4 GB/s
TDP
350 W
MSRP
$1,199
Backends
CUDA · Vulkan

Also good for gaming — 1440p-class (estimated from FP32 compute, not a game benchmark)

Specs as of 2026-07-08 · source

NVIDIA GeForce RTX 3080 Ti for local AI — common questions

How much VRAM does the NVIDIA GeForce RTX 3080 Ti have?
The NVIDIA GeForce RTX 3080 Ti has 12GB of VRAM with 912.4 GB/s of memory bandwidth. VRAM sets which models fit; bandwidth sets how fast they feel once they do.
Is the NVIDIA GeForce RTX 3080 Ti good for running AI models locally?
Yes, within limits. 12GB comfortably runs small and mid-size models at a quality quant, but the largest open models will not fit. The largest model it loads cleanly is Mistral-Nemo-Instruct-2407, at a quality quant with llama.cpp at 8K context.
What runtimes work with the NVIDIA GeForce RTX 3080 Ti?
It runs on CUDA · Vulkan, which covers Ollama, llama.cpp and LM Studio. Runtime choice affects speed and features, not whether a model fits.

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What an NVIDIA GeForce RTX 3080 Ti can run

Every model we track, graded at its best clean-fit quant. Click any verdict for the full breakdown.

ModelBest-quant verdict · llama.cpp · 8K context
Qwen3-8BFits · B · Q6_Kinteractive
gemma-4-26B-A4B-itTight · C · MXFP4_MOEinteractive · offloadbeta
Qwen2.5-7B-InstructFits · B · Q8_0interactive
Qwen2.5-1.5B-InstructFits · A · Q8_0interactive
Llama-3.2-1B-InstructFits · A · Q8_0interactive
Llama-3.1-8B-InstructFits · B · Q8_0interactive
DeepSeek-R1Won't fitbeta
Qwen3.5-9BFits · B · Q6_Kinteractivebeta
gpt-oss-20bTight · C · MXFP4interactive · offloadbeta
Qwen3.6-35B-A3BTight · C · MXFP4_MOEinteractive · offloadbeta
Qwen2.5-3B-InstructFits · A · Q8_0interactive
Qwen3-32BTight · C · Q4_K_Musable · offloadbeta
Qwen3.6-27BTight · C · Q4_K_Musable · offloadbeta
Qwen2.5-0.5B-InstructFits · A · Q8_0interactive
Mistral-7B-Instruct-v0.3Fits · B · Q8_0interactive
gpt-oss-120bTight · C · MXFP4interactive · offloadbeta
Qwen3-14BTight · C · Q4_K_Minteractive
Qwen3-30B-A3BTight · C · Q4_K_Minteractive · offloadbeta
Qwen2.5-32B-InstructTight · C · Q4_K_Musable · offloadbeta
DeepSeek-V4-FlashWon't fitbeta
Qwen2.5-14B-InstructTight · C · Q4_K_Minteractive
Llama-3.2-3B-InstructFits · A · Q8_0interactive
gemma-3-4b-itFits · A · Q8_0interactivebeta
gemma-3-12b-itTight · C · Q4_K_Minteractivebeta
Llama-3.1-70B-InstructTight · C · Q4_K_Mpainful · offloadbeta
Phi-3.5-mini-instructFits · A · Q8_0interactive
Phi-4Tight · C · Q4_K_Minteractive
DeepSeek-R1-Distill-Qwen-32BTight · C · Q4_K_Musable · offloadbeta
gemma-3-27b-itTight · C · Q4_K_Musable · offloadbeta
Llama-3.3-70B-InstructTight · C · Q4_K_Mpainful · offloadbeta
Qwen2.5-72B-InstructTight · C · Q4_K_Mpainful · offloadbeta
gemma-2-2b-itFits · A · Q8_0interactivebeta
DeepSeek-R1-Distill-Qwen-14BTight · C · Q4_K_Minteractive
DeepSeek-R1-Distill-Llama-8BFits · B · Q8_0interactive
DeepSeek-R1-Distill-Qwen-7BFits · B · Q8_0interactive
gemma-2-9b-itFits · B · Q6_Kinteractivebeta
Mistral-Nemo-Instruct-2407Fits · B · Q4_K_Minteractive
QwQ-32BTight · C · Q4_K_Musable · offloadbeta
Mistral-Small-24B-Instruct-2501Tight · C · Q4_K_Minteractive · offloadbeta
gemma-2-27b-itTight · C · Q4_K_Musable · offloadbeta

Have a specific model in mind? Check it against the NVIDIA GeForce RTX 3080 Ti at your own quant and context length.

Check with the NVIDIA GeForce RTX 3080 Ti preselected →

Verdicts computed from published specs and measured GGUF sizes — how the math works.