All Hardware for Running LLMs Locally
Browse 94 GPUs and 59 devices — laptops, desktops, phones, servers, and more.
Choosing Hardware for Local AI
VRAM is the most important specification for running LLMs locally. Discrete GPUs offer dedicated VRAM, while Apple Silicon Macs share unified memory between CPU and GPU. AI development kits like NVIDIA Jetson provide optimized inference on the edge. Pick your hardware below to see which models you can run.
Discrete GPUs
View all 94 →NVIDIA, AMD, and Intel GPUs — VRAM is the key spec for local LLMs
NVIDIA GeForce RTX 4090
NVIDIA · Ada Lovelace
NVIDIA GeForce RTX 5090
NVIDIA · Blackwell
NVIDIA GeForce RTX 5080
NVIDIA · Blackwell
NVIDIA GeForce RTX 5070 Ti
NVIDIA · Blackwell
NVIDIA GeForce RTX 4080 SUPER
NVIDIA · Ada Lovelace
NVIDIA GeForce RTX 5070
NVIDIA · Blackwell
Laptops
View all 22 →MacBooks and other laptops with unified or dedicated GPU memory
AMD Ryzen AI 9 HX 370 (Strix Point) Laptop
AMD · Ryzen AI 9 HX 370 · Radeon 890M · Laptop
HP ZBook Ultra G1a 14 (Ryzen AI Max+ PRO 395, 128 GB)
HP · Ryzen AI Max+ PRO 395 · Radeon 8060S · Laptop
Intel Core Ultra 9 288V (Lunar Lake) Laptop
Intel · Core Ultra 9 288V · Intel Arc 140V · Laptop
MacBook Air 13" M3 (16 GB)
Apple · M3 · Laptop
MacBook Air 13" M3 (24 GB)
Apple · M3 · Laptop
MacBook Air 13" M3 (8 GB)
Apple · M3 · Laptop
Desktops & Mini PCs
View all 17 →Mac Studio, Mac Mini, custom PCs, and workstations with maximum memory
Beelink GTR9 Pro (Ryzen AI Max+ 395, 128 GB)
Beelink · Ryzen AI Max+ 395 · Radeon 8060S · Mini PC
Framework Desktop (Ryzen AI Max+ 395, 128 GB)
Framework · Ryzen AI Max+ 395 · Radeon 8060S · Desktop
GMKtec EVO-X2 (Ryzen AI Max+ 395, 128 GB)
GMKtec · Ryzen AI Max+ 395 · Radeon 8060S · Mini PC
HP Z2 Mini G1a (Ryzen AI Max+ PRO 395, 128 GB)
HP · Ryzen AI Max+ PRO 395 · Radeon 8060S · Mini PC
Mac Mini M4 (16 GB)
Apple · M4 · Mini PC
Mac Mini M4 (32 GB)
Apple · M4 · Mini PC
AI Development Kits
View all 7 →NVIDIA Jetson, dedicated inference hardware, and edge AI devices
ASUS Ascent GX10
ASUS · GB10 · Blackwell GPU (GB10) · AI Box
NVIDIA DGX Spark
NVIDIA · GB10 · Blackwell GPU (GB10) · AI Box
NVIDIA Jetson AGX Orin 32GB
NVIDIA · Orin · AI Box
NVIDIA Jetson AGX Orin 64GB
NVIDIA · Orin · AI Box
NVIDIA Jetson AGX Thor Developer Kit
NVIDIA · Jetson T5000 (Thor) · Blackwell GPU (Jetson Thor) · AI Box
NVIDIA Jetson Orin NX 16GB
NVIDIA · Orin NX · Ampere GPU (Orin NX) · AI Box
Phones
View all 8 →iPhones and Android phones — on-device LLM inference with no internet required
Apple iPhone 17 Pro
Apple · A19 Pro · A19 Pro 6-core GPU · Phone
iPhone 15 Pro
Apple · A17 Pro · Phone
iPhone 15 Pro Max
Apple · A17 Pro · Phone
iPhone 16 Pro
Apple · A18 Pro · Phone
iPhone 16 Pro Max
Apple · A18 Pro · Phone
iPhone 17
Apple · A19 · A19 5-core GPU · Phone
Tablets
View all 3 →iPads and Android tablets for on-device AI with fixed memory pools
Asus ROG Flow Z13 (2025, Ryzen AI Max+ 395, 128 GB)
Asus · Ryzen AI Max+ 395 · Radeon 8060S · Tablet
iPad Pro M4 13" (16 GB)
Apple · M4 · Tablet
iPad Pro M5 13" (16 GB)
Apple · M5 · Apple M5 GPU (10-core) · Tablet
Servers & DGX Systems
View all 2 →Enterprise servers with 80–640 GB VRAM for running frontier-scale models
Browse by VRAM
Find the best models for your VRAM tier
Entry-level for LLMs (RTX 4060, RX 7600, Apple M-series base) — 7B models at Q4, small models at Q8
Mid-range (RTX 3060, RTX 4070, RTX 5070) — 7-13B models at Q4-Q6
Upper mid-range (RTX 4080, RTX 5070 Ti, Arc A770, Apple M4 16GB) — 13B models, some 30B at Q4
Enthusiast (RTX 3090, RTX 4090, RX 7900 XTX) — 30B+ models at Q4-Q6, 70B at aggressive quant