Decentralized GPU Power in the AI Era: Moving Beyond Hashrate
Decentralized GPU networks are becoming crucial for scaling AI workloads, which require far more than just hashrate—a metric traditionally used in cryptocurrency mining. Unlike mining, AI tasks like model training and inference depend on factors like PCIe bandwidth, memory throughput, and parallel processing. As we move into the AI era, decentralized projects must adopt new performance metrics (FLOPs, memory throughput, latency) to efficiently harness GPU power for AI, paving the way for a more accessible and scalable future in computing.