Picking a GPU for AI shouldn't mean digging through a dozen spec sheets and scattered cloud benchmarks. We scored 78 GPUs and 48 multi-GPU servers on a single AI Inference Index, every card measured across LLM inference, image generation, and vision, then indexed to the RTX 3090 at 100. Filter by VRAM, sort any column, and drop any two cards into a head-to-head that tells you which wins and why, in plain language. Free, no login. NVIDIA, AMD Instinct, and Intel. Hey Product Hunt 👋 I'm Abdul. I work on growth at MillionMiner. We sell mining and AI hardware, so every week people ask us the same thing: "which GPU should I actually get for running or training X?" The honest answer used to be a mess, vendor spec sheets, random cloud benchmarks, Reddit threads, none of it on the same scale. So we built the thing we wished existed. We pulled publicly published benchmark data, scored every card across three real workloads, LLM inference, image generation, and vision/OCR, and indexed all of it to the RTX 3090 = 100 so any two cards compare at a glance. 78 GPUs and 48 full AI servers so far, across NVIDIA, AMD Instinct, and Intel. The part I use most is the head-to-head arena: pick any two cards, and it lays out VRAM, inference index, FP16 compute, and training throughput side by side, with a plain-English verdict on which wins and why. It's free, no login. Yes, we're a hardware shop, and the cards we stock are tagged "in stock," but the whole table works whether or not you ever buy from us, and every number comes from published sources you can check yourself.

MillionMiner GPU & AI Benchmark Tool

Compare AI GPU Performance At A Glance

Compare AI GPU Performance At A Glance