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Serving Nemotron-3-Super-120B-A12B-NVFP4 on a single DGX Spark
Serving Nemotron-3-Super-120B-A12B-NVFP4 on a single DGX Spark
Tested 2026-03-27. Uses sparkrun with a community-patched vLLM container that works around the MIXED_PRECISION whitelist bug in the NGC vLLM container (vllm-project/vllm#37854).
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This document summarizes some popular, public notebook formats (Org, Jupyter, Markdown, Python variants) and the tools which interconvert them.
Notable omissions:
Wolfram notebooks. My impression is the proprietary platform offer mature export to many formats but not ipynb. There is no mature, widely used too for export to ipynb, not are there great import tools afaict.
SolveIt platform. Not publicly released yet. But I suspect it will support excellent ipynb interop. 😉
Epistemic status: Moderate confidence. This is based mostly on AI research on 2025-08-30 but it passes spot checks and matches my prior background knowledge, which covers many of these technologies.)
Of course, I do want to understand the procedure to use when trying to estimate the variance of a population from a single sample. I understand that this is its main use.
But I mainly want to have a terse, but 100% conceptually crisp, understanding of the key concepts necessary to understand why this procedure is what it is. FOr me to remember things, it is important that they be very coherent. So I care a lot about precision in terminology, e.g., to distinguish what is treated as a random variable, what is a parameter of a distribution, over what range of values an expectation is calculated, etc..
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