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This article provides empirical data on the inference throughput and operational costs of running DeepSeek R1 on NVIDIA H100 hardware, offering critical benchmarks for model deployment efficiency. For practitioners evaluating large language model scaling, these metrics are essential for determining cost-effective infrastructure strategies without relying on marketing claims.
Sources coveringSemiAnalysis, Latent Space
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

DeepSeek R1 on H100: Measured Inference Throughput and Cost

SemiAnalysis1 min read

DeepSeek R1 on H100: Measured Inference Throughput and Cost  InferenceX

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