
performance optimization stuff @nvidia
Bay Area
Joined October 2020
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muse app is so easy to use! I find it more enjoyable to use for non work things even though oai/ant has a better model.
It seems like it’s just “not” confusing. I look for this experience in other assistant agent s/w
I have been trying to eat healthier and cut out sugar. Just had a cookie after a couple months, this is how it felt
Tanmay Gujar retweeted
Replying to @JensenHuang @nvidia
fellow raccoon he belongs @UCSD
Mutant creature named 'Jimothy' stalks Seattle - and becomes local celebrity trib.al/HH2vSpF
She collapses on the street and rushed to the hospital. They perform a bunch of tests and find out she is severely deficient in Diet Coke. Then she starts taking Diet Coke and becomes the happiest cleverest person alive because all her problems were caused by this one deficiency.
my take from reading takes on ref decisions is that most people don’t actually listen to the commentators or can’t comprehend what they say
Tanmay Gujar retweeted
Nsight Python 1.0 is here 🎉
GPU performance analysis in a few lines of Python: sweep kernel configurations, collect Nsight Compute metrics, compare implementations, derive custom metrics, and generate DataFrames, CSVs, and publication-ready plots.
github.com/NVIDIA/nsight-pyt…
Tanmay Gujar retweeted
💡 Query engines are often bottlenecked by memory and I/O bandwidth.
NVIDIA hardware advances in high bandwidth memory, NVLink-C2C, and decompression engines in NVIDIA Grace Blackwell remove bottlenecks by increasing storage capacity, accelerating data movement between CPUs and GPUs, and speeding up data access.
NVIDIA GQE (GPU Query Engine) shows how GPU-native design, compression, partition pruning, and accelerated data movement can help developers build faster data platforms on modern NVIDIA hardware. ➡️ nvda.ws/4wkpieI
Moved to SF recently, looking for friends to play badminton/pickleball, hmu!
I am down for most outdoor things or sports
moved back to 5.4-xhigh. I find that 5.5-xhigh is too eager to edit the code and thinks too little
wonder if the behavior has large differences between cursor vs on codex🧐
I really like @OpenAI codex models, but codex cli adoption among people I know seems to be p bad because there is barely any hype/marketing to convince
Tanmay Gujar retweeted
Google has an internal "let it break" essay about a hero engineer whose hard work ends up being a net negative (by masking the underlying issues). My manager sent me that essay when I was trying too hard to get the collective TensorFlow unit test suite green.
Tanmay Gujar retweeted
One of the best ways to uplevel is to work with great talent. Not everyone has had that opportunity.
AI is going to change that. Everyone has access.
Looking forward to a year of massive upleveling for anyone who wants it.



















