GPUs with 16 GB VRAM for Running LLMs
Browse 24 GPUs with 16 GB VRAM compatible with running LLM models locally. Compare VRAM, memory bandwidth, and AI performance. Top picks and budget guide
24 GPUsClear filters
| GPU | Price |
|---|---|
| RTX 508016 GBGDDR7 · 960 GB/s · 360 WNVIDIA · Blackwell · 2025 | about $1,690 |
| RTX 5070 Ti16 GBGDDR7 · 896 GB/s · 300 WNVIDIA · Blackwell · 2025 | about $1,170 |
| RTX 4080 SUPER16 GBGDDR6X · 736 GB/s · 320 WNVIDIA · Ada Lovelace · 2024 | about $999 |
| RTX 4070 Ti SUPER16 GBGDDR6X · 672 GB/s · 285 WNVIDIA · Ada Lovelace · 2024 | about $799 |
| RTX 408016 GBGDDR6X · 717 GB/s · 320 WNVIDIA · Ada Lovelace · 2022 | about $1,199 |
| RX 9070 XT16 GBGDDR6 · 640 GB/s · 304 WAMD · RDNA 4 · 2025 | about $815 |
| RTX 5060 Ti 16GB16 GBGDDR7 · 448 GB/s · 180 WNVIDIA · Blackwell · 2025 | about $429 |
| RX 907016 GBGDDR6 · 640 GB/s · 220 WAMD · RDNA 4 · 2025 | about $800 |
| RX 9060 XT 16GB16 GBGDDR6 · 320 GB/s · 160 WAMD · RDNA 4 · 2025 | about $590 |
| RX 7800 XT16 GBGDDR6 · 624 GB/s · 263 WAMD · RDNA 3 · 2023 | about $499 |
| RTX 4060 Ti 16GB16 GBGDDR6 · 288 GB/s · 165 WNVIDIA · Ada Lovelace · 2023 | about $499 |
| RX 7900 GRE16 GBGDDR6 · 576 GB/s · 260 WAMD · RDNA 3 · 2024 | about $549 |
| RTX 4090 Laptop GPULaptop16 GBGDDR6 · 576 GB/s · 150 WNVIDIA · Ada Lovelace · 2023 | – |
| RX 7600 XT16 GBGDDR6 · 288 GB/s · 190 WAMD · RDNA 3 · 2024 | about $329 |
| Tesla P100 PCIe 16GBPro16 GBHBM2 · 732 GB/s · 250 WNVIDIA · Pascal · 2016 | – |
| Tesla V100 PCIe 16GBPro16 GBHBM2 · 900 GB/s · 250 WNVIDIA · Volta · 2017 | – |
| T4Pro16 GBGDDR6 · 320 GB/s · 70 WNVIDIA · Turing · 2018 | – |
| RX 6900 XT16 GBGDDR6 · 512 GB/s · 300 WAMD · RDNA 2 · 2020 | about $999 |
| Arc Pro B50Pro16 GBGDDR6 · 224 GB/s · 70 WIntel · Xe2 · 2025 | about $349 |
| RX 6800 XT16 GBGDDR6 · 512 GB/s · 300 WAMD · RDNA 2 · 2020 | about $649 |
| Arc A770 16GB16 GBGDDR6 · 560 GB/s · 225 WIntel · Alchemist · 2022 | about $349 |
| RTX PRO 2000 BlackwellPro16 GBGDDR7 · 288 GB/s · 70 WNVIDIA · Blackwell · 2025 | – |
| RX 680016 GBGDDR6 · 512 GB/s · 250 WAMD · RDNA 2 · 2020 | about $579 |
| RTX A4000Pro16 GBGDDR6 · 448 GB/s · 140 WNVIDIA · Ampere · 2021 | about $1,000 |
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.