GPUs with 6–10 GB VRAM
Browse 8 GPUs with 6–10 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 7600
AMD · RDNA 3
288.0 GB/s2,048 SP165W TDP$269
Intel Arc A750
Intel · Alchemist
512.0 GB/s225W TDP$289
NVIDIA GeForce RTX 3060 Ti
NVIDIA · Ampere
448.0 GB/s4,864 CUDA200W TDP$399
NVIDIA GeForce RTX 3070
NVIDIA · Ampere
448.0 GB/s5,888 CUDA220W TDP$499
NVIDIA GeForce RTX 3070 Ti
NVIDIA · Ampere
608.3 GB/s6,144 CUDA290W TDP$599
NVIDIA GeForce RTX 3080
NVIDIA · Ampere
760.3 GB/s8,704 CUDA320W TDP$699
NVIDIA GeForce RTX 4060
NVIDIA · Ada Lovelace
272.0 GB/s3,072 CUDA115W TDP$299
NVIDIA GeForce RTX 4060 Ti 8GB
NVIDIA · Ada Lovelace
288.0 GB/s4,352 CUDA160W TDP$399