TE
科技回声
首页24小时热榜最新最佳问答展示工作
GitHubTwitter
首页

科技回声

基于 Next.js 构建的科技新闻平台,提供全球科技新闻和讨论内容。

GitHubTwitter

首页

首页最新最佳问答展示工作

资源链接

HackerNews API原版 HackerNewsNext.js

© 2025 科技回声. 版权所有。

Ask HN: How to benchmark different LLM models in parallel?

3 点作者 dhruvagga10 个月前
I was trying Langflow recently for some experiments in our open source project - https:&#x2F;&#x2F;github.com&#x2F;middlewarehq&#x2F;middleware to build a RAG over DORA metrics.<p>In my machine, langflow literally brings makes it super slow so testing each model for output is painful. Is there a way I can try out a parallel output from different models to compare?

1 comment

verdverm10 个月前
Running models locally, on your development machine, will be slow. You need beefy GPUs to get good token&#x2F;sec speeds.<p>Run the models in the cloud, each one on a separate machine, and then invoke them remotely. You can skip the time&#x2F;cost and use various APIs from 3rd parties directly.
评论 #41097990 未加载