Anthropic 用 Claude 优化 30 多个开源模型推理，平均提速 4 倍并开源代码
Biologists use specialized open-source models for tasks like modeling the structure of molecular systems, designing drug-like molecules, and predicting the effe
Anthropic 在最新 Science Blog 中介绍，Claude 为 30 多个生物领域开源模型优化推理，平均提速 4 倍，部分工作是为 GPU 编写定制软件。这些模型原本用于分子系统结构建模、类药分子设计和基因突变效应预测，但运行成本高，限制了实际影响。Anthropic 表示将开源全部优化代码。
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Anthropic 用 Claude 为 30 多个生物领域开源模型做推理优化并开源代码，读者可了解模型自动写 GPU 软件这一路径。
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Biologists use specialized open-source models for tasks like modeling the structure of molecular systems, designing drug-like molecules, and predicting the effects of genetic mutations. But these models are often expensive to run, potentially limiting their impact.
In our latest Science Blog, we share how Claude was able to optimize inference for more than 30 open-source models, making them 4x faster on average, partly by writing custom software for GPUs. We’re open sourcing all of the optimization code.