LocalOps started from a simple frustration: I was spending more time guessing whether a model would run on my GPU than actually building with it. Running AI locally sounds great — privacy, speed, control — but in reality, it’s messy. Will this model fit in VRAM? What quantization do I need? How much RAM is enough? Is it even worth trying on my setup? So I built LocalOps to answer one core question instantly: “Can my hardware run this model — and how well?” Instead of digging through Reddit threads, GitHub issues, and scattered benchmarks, you get a structured compatibility engine that maps GPUs to models with practical insights. This launch is just the beginning. I’d love your feedback: What hardware are you running? What models are you struggling with? What would make this 10x more useful? If you run models locally — this is for you.

LocalOps

Know Your AI Performance Before You Run It.

Know Your AI Performance Before You Run It.