Read Modverse Weekly #39 🪐 + Learn how to optimize your PyTorch models for production with MAX ⚡️
Check out this week’s Modverse Weekly! Dive into the latest tutorials, including a guided walkthrough of Mojo’s 🔥 n-body example, which explains the underlying code for simulating orbital mechanics. Also, catch up on Santiago’s video demonstrating how to run Python 🐍 code from Mojo and rd4com’s tutorial on Mojo’s SIMD 🔢 type.
Discover community projects like an NDArray type, raylib bindings, and lz4 bindings. Celebrate the latest open-source contributions and stay up-to-date on the most recent changes to the Mojo 🔥 nightly builds. Read all that and more in Modverse Weekly #39 💫!
Discover how to seamlessly transition your PyTorch models from development to production with MAX ⚡️. PyTorch has become the top choice for AI researchers pushing the boundaries of AI thanks to its blend of flexibility, Pythonic 🐍 simplicity, and robust community support. MAX enhances PyTorch deployment by offering optimized performance, full compatibility, and simple extensibility–delivering up to 5x performance boost without requiring extensive model rewrites. Read the full post to learn how MAX can streamline your PyTorch deployment strategies! 🚀
阅读Modverse Weekly #39 + 了解如何优化您的PyTorch模型以使用MAX生产
看看本周的反日周刊!沉浸在最新的教程中,包括导游导游Mojo 的 🔥 n-body 例子,这解释了模拟轨道力学的底层代码。 此外,请参阅圣地亚哥的视频,展示如何从Mojo和rd4com的SIMD 类型的教程中运行Python 代码。
探索社区项目,如 NDArray 类型, raylib 绑定和 lz4 绑定。庆祝最新的开源贡献,并保持最新 Mojo 🔥 夜间构建的更改。周刊 #39!
探索如何无缝地将您的 PyTorch 模型从开发到生产转移到 MAX ⚡️. PyTorch 已成为 AI 研究人员通过灵活性、 Pythonic 简单性和强大的社区支持来推动 AI 界限的顶级选择。阅读全文了解 MAX 如何简化您的 PyTorch 部署策略!
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