GPUs with 24–24 GB VRAM
Browse 6 GPUs with 24–24 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 7900 XTX
AMD · RDNA 3
960.0 GB/s6,144 SP355W TDP$999
NVIDIA GeForce RTX 3090
NVIDIA · Ampere
936.2 GB/s10,496 CUDA350W TDP$1,499
NVIDIA GeForce RTX 3090 Ti
NVIDIA · Ampere
1008.0 GB/s10,752 CUDA450W TDP$1,999
NVIDIA GeForce RTX 4090
NVIDIA · Ada Lovelace
1008.0 GB/s16,384 CUDA450W TDP$1,599
NVIDIA L4
NVIDIA · Ada Lovelace
300.0 GB/s7,424 CUDA72W TDP
NVIDIA RTX A5000
NVIDIA · Ampere
768.0 GB/s8,192 CUDA230W TDP$2,250