performance optimization stuff @nvidia

Bay Area
Joined October 2020
graphql
they should invent a rest for the wicked
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You cannot say Codex said x Claude said y and think that this is a convincing argument wth,, THINK
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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
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Opus 5.5 is amazing, first time I have switched back to an ant model since gpt-5.5
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I have been trying to eat healthier and cut out sugar. Just had a cookie after a couple months, this is how it felt
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Tanmay Gujar retweeted
Replying to @JensenHuang @nvidia
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fellow raccoon he belongs @UCSD
Mutant creature named 'Jimothy' stalks Seattle - and becomes local celebrity trib.al/HH2vSpF
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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.
NEW: Doctors prescribe 1.5 liters of Diet Coke to dissolve a stomach mass in a woman caused by weight-loss drug semaglutide.
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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
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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…
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💡 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
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Moved to SF recently, looking for friends to play badminton/pickleball, hmu! I am down for most outdoor things or sports
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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🧐
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I figured out that I can get better output from this 5.5 by actually using the plan/ask/agent modes in cursor.
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Tanmay Gujar retweeted
My gym has one smith machine and once I seen a girl on it and asked how many sets she said 20??? Tf u mean 20
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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
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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.
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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.
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Tanmay Gujar retweeted
cuDF graph #GTC2026
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Tanmay Gujar retweeted
Jensen’s favorite slide!
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