GPUs with 24–undefined GB VRAM
Browse 45 GPUs with 24–undefined 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 Instinct MI210
AMD · CDNA 2
AMD Instinct MI250X
AMD · CDNA 2
AMD Instinct MI300X
AMD · CDNA 3
AMD Instinct MI325X
AMD · CDNA 3
AMD Instinct MI350X
AMD · CDNA 4
AMD Instinct MI355X
AMD · CDNA 4
AMD Radeon AI PRO R9700
AMD · RDNA 4
AMD Radeon PRO W7800
AMD · RDNA 3
AMD Radeon PRO W7900
AMD · RDNA 3
AMD Radeon RX 7900 XTX
AMD · RDNA 3
Intel Arc Pro B60
Intel · Xe2 (Battlemage), BMG-G21
Intel Arc Pro B60 Dual 48GB
Intel · Xe2 (Battlemage), 2x BMG-G21 (Xe2-HPG)
NVIDIA A100 40GB PCIe
NVIDIA · Ampere
NVIDIA A100 80GB SXM
NVIDIA · Ampere
NVIDIA A40
NVIDIA · Ampere
NVIDIA B200
NVIDIA · Blackwell
NVIDIA B300
NVIDIA · Blackwell Ultra
NVIDIA GH200 Grace Hopper Superchip
NVIDIA · Hopper (Grace Hopper)
NVIDIA GeForce RTX 3090
NVIDIA · Ampere
NVIDIA GeForce RTX 3090 Ti
NVIDIA · Ampere
NVIDIA GeForce RTX 4090
NVIDIA · Ada Lovelace
NVIDIA GeForce RTX 5090
NVIDIA · Blackwell
NVIDIA GeForce RTX 5090 Laptop GPU
NVIDIA · Blackwell
NVIDIA H100 PCIe
NVIDIA · Hopper
NVIDIA H100 SXM
NVIDIA · Hopper
NVIDIA H200 NVL
NVIDIA · Hopper
NVIDIA H200 SXM
NVIDIA · Hopper
NVIDIA L4
NVIDIA · Ada Lovelace
NVIDIA L40
NVIDIA · Ada Lovelace
NVIDIA L40S
NVIDIA · Ada Lovelace