GPUs with 14–18 GB VRAM
Browse 23 GPUs with 14–18 GB VRAM compatible with running LLM models locally. Compare VRAM, memory bandwidth, and AI performance.
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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.
GPU List
AMD Radeon RX 6800
AMD · RDNA 2
AMD Radeon RX 6800 XT
AMD · RDNA 2
AMD Radeon RX 6900 XT
AMD · RDNA 2
AMD Radeon RX 7600 XT
AMD · RDNA 3
AMD Radeon RX 7800 XT
AMD · RDNA 3
AMD Radeon RX 7900 GRE
AMD · RDNA 3
AMD Radeon RX 9060 XT 16GB
AMD · RDNA 4
AMD Radeon RX 9070
AMD · RDNA 4
AMD Radeon RX 9070 XT
AMD · RDNA 4
Intel Arc A770 16GB
Intel · Alchemist
Intel Arc Pro B50
Intel · Xe2 (Battlemage), BMG-G21
NVIDIA GeForce RTX 4060 Ti 16GB
NVIDIA · Ada Lovelace
NVIDIA GeForce RTX 4070 Ti SUPER
NVIDIA · Ada Lovelace
NVIDIA GeForce RTX 4080
NVIDIA · Ada Lovelace
NVIDIA GeForce RTX 4080 SUPER
NVIDIA · Ada Lovelace
NVIDIA GeForce RTX 4090 Laptop GPU
NVIDIA · Ada Lovelace
NVIDIA GeForce RTX 5060 Ti 16GB
NVIDIA · Blackwell
NVIDIA GeForce RTX 5070 Ti
NVIDIA · Blackwell
NVIDIA GeForce RTX 5080
NVIDIA · Blackwell
NVIDIA RTX A4000
NVIDIA · Ampere
NVIDIA T4
NVIDIA · Turing
NVIDIA Tesla P100 PCIe 16GB
NVIDIA · Pascal
NVIDIA Tesla V100 PCIe 16GB
NVIDIA · Volta