Dennis Kennetz
Hello visitor \ud83e\udd19! I started in HPC as a computational chemist back in 2015, then spent 2017-2024 leveraging HPC for genomics before moving to Machine Learning Infrastructure in September 2024. Thanks for stopping by ❤️
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 6 | Founded | a year ago | Last Issue | 2 months ago |
| Active | |||||
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dkennetz.substack.comLatest Issues
From Theory to Practice: DRA + DRANET on Oracle Kubernetes Engine (OKE)
In part 1, we traced the physical journey of data through a GPU node, explained why PCIe topology matters for RDMA, and showed how Kubernetes has historically been blind to it. We ended with DRA and DRANET as the future.
This post makes th...
Hidden Infrastructure Challenges in Distributed LLM Inference on Kubernetes
You’ve heard the pitch: scale your LLM across multiple GPUs, across multiple nodes, and watch throughput climb. What nobody tells you is that the path between your GPU and the network is a minefield of hardware topology decisions — and Kube...
LLM Inference Curriculum
One of the biggest things I see people struggle with early is this:
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you need to get hands on and build
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know that what you build won’t matter, it’s for your learning
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you’ll throw it away and move on
There’s no substitute f...
Tensor Parallelism with CUDA - Multi-GPU Matrix Multiplication
Intro:
In the last post, I broke down a matrix multiplication on paper (in the article) before introducing the first bit of CUDA code! I concluded that article by performing a matrix multiplication on a single GPU, and showed why matri...
Tensor Parallelism with CUDA - Matrix Multiplication
Intro:
In the last post, I spent some words building up to what a tensor is and describing why they are useful in applications that benefit from high dimensionality, like machine learning. I then extended to the benefits of tensor para...
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Hello visitor \ud83e\udd19! I started in HPC as a computational chemist back in 2015, then spent 2017-2024 leveraging HPC for genomics before moving to Machine Learning Infrastructure in September 2024. Thanks for stopping by ❤️
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