PANews January 19, 2025 — In a recent community AMA, decentralized AI computing network Gonka explained its phased adjustments to the Proof of Contribution (PoC) mechanism and model operation methods. Key changes include: unifying the PoC and inference processes under the same large model, adjusting the PoC activation method from delayed switching to near real-time triggering, and optimizing the computing power weight calculation method to better align with the actual computational costs of different models and hardware. Co-founder David stated that these adjustments are not aimed at short-term output or individual participants, but are necessary evolutions to the consensus and verification structure as the network's computing power rapidly expands. The goal is to enhance the network's stability and security under high load conditions and lay the foundation for supporting larger-scale AI workloads in the future. Regarding the community discussion about small models currently producing a higher number of tokens, the team noted that different model sizes consume significantly different amounts of real computing power for the same number of tokens. As the network evolves toward higher computing density and more complex tasks, Gonka is gradually aligning computing power weights with actual computational costs to avoid long-term imbalances in computing power distribution, which could affect the network's overall scalability. Under the latest PoC mechanism, the network has reduced PoC activation time to under 5 seconds, minimizing computing power waste caused by model switching and waiting, and allowing a higher proportion of GPU resources to be used for effective AI computation. At the same time, by unifying model operations, the system reduces the overhead of switching between consensus and inference for nodes, improving overall computing power utilization efficiency. The team also emphasized that single-GPU and small-to-mid-scale GPU setups can continue to earn rewards and participate in governance through mining pools, flexible Epoch participation, and inference tasks.
Gonka Updates Proof-of-Contribution (PoC) Mechanism to Align Real Compute Power and Support Multi-Level GPU Participation
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Summary
Gonka has updated its Proof-of-Compute (PoC) mechanism to better align with real computational power and support multi-level GPU participation, as part of recent cryptocurrency-related updates. These changes unify PoC and inference under a single large model, enabling near real-time activation and optimizing compute weight calculations. Small-scale GPU users can still earn rewards through mining pools and flexible Epochs. KuCoin's updates highlight the network's focus on efficiency and scalability as computational demand increases. The team also clarified that larger models require more compute power per token, ensuring a fair balance in reward distribution.
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