Many companies are currently bragging about how "AI-driven" they are. But what’s the reality? A friend's company's customer service system is a typical failure case: millions invested, and a single GPU can only support 3 models, with a 5-minute wait to switch. The experience is worse than finding a human customer service representative. This is not an isolated case, but the fate of the vast majority of "traditional AI architectures." It wasn't until I saw @OpenLedgerHQ's solution that I realized the problem lies not in AI itself, but in the underlying deployment methods. OpenLedger has completely "rewritten" the deployment of AI: As simple as changing a phone case, one GPU can run thousands of custom models, with memory consumption only 1/4 of traditional solutions, and model switching is even faster than blinking (<100ms). From now on, AI is no longer the exclusive domain of large companies, but a tool that everyone can master. Three key breakthroughs: Resource efficiency...
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