Multi-GPU clusters are computing systems that combine several graphics processing units to accelerate complex computational tasks. These clusters are widely utilized in cryptocurrency mining, artificial intelligence training, and scientific simulations due to their parallel processing capabilities. By distributing computational workloads across multiple GPUs, they significantly reduce the time required for intensive operations, such as hashing algorithms or cryptographic proof generation. Their deployment is aimed at achieving higher throughput and efficiency for demanding computational processes.
Context
Multi-GPU clusters are a key hardware component in the infrastructure supporting various blockchain operations, particularly in proof-of-work mining and the generation of zero-knowledge proofs. Their energy consumption and environmental impact are ongoing subjects of public and regulatory discussion. Continued advancements in GPU technology and specialized hardware design are constantly reshaping the economics and feasibility of these computational efforts.
A modular, distributed zkVM architecture dramatically cuts hardware costs and latency, making real-time zero-knowledge verification economically feasible for all validators.
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