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Patrick, it's not often to see this kinda combination on one resume:
Nvidia GPUs, Google TPUs, Amazon Trainium and Meta MTIA. 👀
Patrick Toulme works on Google's TPU compiler, built pyptx, a tool for programming Nvidia GPUs, and has experience with Amazon's Trainium and Meta's MTIA.
🧠 2 more engineers with unusual cross-stack experience:
Eugene Zhulenev builds software for training models across thousands of Nvidia GPUs. He also made a single AI program across TPUs, GPUs and CPUs.
Manoj Krishnan co-authored Meta research on GPU training and Google's technical overview of the software behind its Ironwood TPUs.
🎯 Looking for someone with a similarly specific mix of experience? Tell Articuler what you're looking for.
已保存译文 · zh-cn
Patrick，很少能在一份简历上看到这种组合：
Nvidia GPU, Google TPU, Amazon Trainium 和 Meta MTIA。👀
Patrick Toulme 从事 Google 的 TPU 编译器工作，构建了 pyptx（一个用于编程 Nvidia GPU 的工具），并且拥有 Amazon Trainium 和 Meta MTIA 的经验。
🧠 另外 2 位拥有不寻常跨栈经验的工程师：
Eugene Zhulenev 构建了在数千个 Nvidia GPU 上训练模型的软件。他还制作了一个跨 TPU, GPU 和 CPU 的单一 AI 程序。
Manoj Krishnan 共同撰写了 Meta 关于 GPU 训练的研究，以及 Google 关于其 Ironwood TPU 背后软件的技术概览。
🎯 在寻找具有类似特定经验组合的人才？告诉 Articuler 你的需求。
