The Gear Locker
Where Silicon Dreams Come to Get Priced 💸
Your one-stop shop for AI hardware intel. We've obsessively catalogued 281+ components so you don't have to spend hours on spec sheets. Real specs. Real prices. Real talk about what's actually worth your money.
💡 Pro Tip: Finding Your Perfect Hardware
For AI Training: Look for high VRAM (24GB+), FP16 TFLOPS, and memory bandwidth.For Inference: Focus on INT8 performance, power efficiency, and cost per token.Budget Build? Used datacenter GPUs often offer 80% of the performance at 30% of the price.
NVIDIA RTX 5090
NVIDIA
NVIDIA RTX 5080
NVIDIA
Apple Neural Engine
Apple
Gigabyte AORUS X670E Master
Gigabyte
ASRock Taichi Z790 WiFi
ASRock
MSI MEG Z790 GODLIKE MAX
MSI
RTX 5090
NVIDIA
RTX 5090 D
NVIDIA
RTX 5080
NVIDIA
RTX 5070 Ti
NVIDIA
RTX 5070
NVIDIA
RTX 5060 Ti
NVIDIA
RTX 5060
NVIDIA
RTX 4090
NVIDIA
RTX 4090 D
NVIDIA
RTX 4080 Super
NVIDIA
RTX 4080
NVIDIA
RTX 4070 Ti Super
NVIDIA
RTX 4070 Ti
NVIDIA
RTX 4070 Super
NVIDIA
RTX 4070
NVIDIA
RTX 4060 Ti 16GB
NVIDIA
RTX 4060 Ti
NVIDIA
RTX 4060
NVIDIA
RTX 3090 Ti
NVIDIA
RTX 3090
NVIDIA
RTX 3080 Ti
NVIDIA
RTX 3080 12GB
NVIDIA
RTX 3080
NVIDIA
RTX 3070 Ti
NVIDIA
Showing 30 of 78 items
Community Compatibility Reports
Real-world hardware experiencesAlex Chen
RTX 4090 + Ryzen 9 7950X
Excellent performance training LLaMA 2 70B. Stable 48GB VRAM handling. No thermal issues with proper cooling.
Sarah Johnson
M2 Max MacBook Pro
Great for development and smaller models. Limited to 32GB unified memory for larger training runs.
Mike Davis
Jetson Orin Nano
Perfect for YOLO and MobileNet. Low power consumption. Some compatibility issues with newer PyTorch versions.