AI Compute Demand & GPU Market - AI compute demand is growing at twice the rate of efficiency growth, potentially leading to GPU shortages [1] - To meet current AI compute demand, an estimated $500 billion must be invested in data centers annually until 2030 [2] Crypto Protocols Benefiting from GPU Demand - Livepeer, a decentralized video streaming network, benefits from GPU resources for video transcoding and processing [1] - Several crypto protocols are positioned to capitalize on GPU demand, including GPU-backed lending protocols like USDai_Official, enterprise GPU yield tokenization platforms like gaib_ai, DePIN GPU clouds like AethirCloud, and GPU compute providers for 3D rendering like Rendernetwork [2] - Other protocols include ionet (compute provider), 0G_labs (modular L1 with GPU clusters), SpheronFDN (compute marketplace), akashnet_ (cloud computing marketplace), and Theta_Network (decentralized video rendering and AI inference) [2] TAO + Subnets - TAO subnets like chutes_ai (SN 64), lium_io (SN51), neural_internet (SN27), and ComputeHorde (SN12) are relevant in the context of GPU compute [2]