GPUs with 20–24 GB VRAM for Running LLMs
Browse 15 GPUs with 20–24 GB VRAM compatible with running LLM models locally. Compare VRAM, memory bandwidth, and AI performance. Top picks and budget guide
15 GPUsClear filters
| GPU | Price |
|---|---|
| RTX 409024 GBGDDR6X · 1,008 GB/s · 450 WNVIDIA · Ada Lovelace · 2022 | about $1,599 |
| RTX 309024 GBGDDR6X · 936 GB/s · 350 WNVIDIA · Ampere · 2020 | about $1,499 |
| RX 7900 XTX24 GBGDDR6 · 960 GB/s · 355 WAMD · RDNA 3 · 2022 | about $1,130 |
| RTX 3090 Ti24 GBGDDR6X · 1,008 GB/s · 450 WNVIDIA · Ampere · 2022 | about $1,999 |
| Tesla P40Pro24 GBGDDR5 · 346 GB/s · 250 WNVIDIA · Pascal · 2016 | – |
| Arc Pro B60Pro24 GBGDDR6 · 456 GB/s · 200 WIntel · Xe2 · 2025 | about $599 |
| RTX 5090 Laptop GPULaptop24 GBGDDR7 · 896 GB/s · 150 WNVIDIA · Blackwell · 2025 | – |
| RX 7900 XT20 GBGDDR6 · 800 GB/s · 315 WAMD · RDNA 3 · 2022 | about $899 |
| Tesla M40 24GBPro24 GBGDDR5 · 288 GB/s · 250 WNVIDIA · Maxwell · 2015 | – |
| RTX PRO 4000 BlackwellPro24 GBGDDR7 · 672 GB/s · 145 WNVIDIA · Blackwell · 2025 | about $1,500 |
| TITAN RTX24 GBGDDR6 · 672 GB/s · 280 WNVIDIA · Turing · 2018 | about $2,499 |
| RTX PRO 4000 Blackwell SFF EditionPro24 GBGDDR7 · 432 GB/s · 70 WNVIDIA · Blackwell · 2025 | – |
| L4Pro24 GBGDDR6 · 300 GB/s · 72 WNVIDIA · Ada Lovelace · 2023 | – |
| RTX 4000 Ada GenerationPro20 GBGDDR6 · 360 GB/s · 130 WNVIDIA · Ada Lovelace · 2023 | about $1,250 |
| RTX A5000Pro24 GBGDDR6 · 768 GB/s · 230 WNVIDIA · Ampere · 2021 | about $2,250 |
Which GPU Do You Need for AI?
The amount of VRAM is the most important specification for running LLMs locally. Most 7B parameter models require 4–8 GB of VRAM at common quantization levels, while 70B models need 24–48 GB. Memory bandwidth determines how fast the model generates tokens — faster bandwidth means faster responses.