Synaptic Radio

Principal ML engineer focused on foundation models, agentic systems and scientific AI. I write about the math, systems and engineering judgement behind reliable ML workflows.

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Distributed Training GPU Systems and Performance Engineering Inference and Serving Tensor Parallelism Deep-Learning Mechanisms Research Methodology Software Architecture Transformer Architecture

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Megatron-LM PyTorch Tensor Parallelism Actors Book-Review Circe Distributed Systems Distributed Training Greek-Mythology Grouped-Query Attention

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Deep-Learning Mechanisms

Tensor Parallelism I: Rebuilding a Megatron SwiGLU Block Across Two Ranks

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