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AI models don't know what they want to say.
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I'm going to try writing up one thing I've optimised/done atleast once a week.
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Hello LinkedIn Fam, welcome to Optimisations Wednesday.
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My paper "Less is More: Optimising SGLang Distributed DeepSeek-R1 Inference on a Two-Node H200 Cluster" has been accepted for presentation at the BID Workshop at ICPP 2026, the International Conference on Parallel Processing.
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Posted by Monash Engineering on LinkedIn.
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Notes from the NSCC Singapore ASPIRE-2A+ supercomputer, written during the 8th APAC HPC-AI Competition while benchmarking DeepSeek-R1 inference on SGLang.
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Notes from Monash University's M3 supercomputer.
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Notes from running DeepSeek-R1 inference on SGLang during the 8th APAC HPC-AI Competition.
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These are the notes I actually use, the flags, the couplings, and the reasoning behind every knob we turned on DeepSeek-R1 during the 8th APAC HPC-AI Competition.
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I joined the Neural Cellular Automata team at Monash DeepNeuron in February 2025.
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I trained an MNIST classifier and got 98% on the test set, which tells you how it does on other people's handwriting.