@william_jin engineers now can focus more on algorithm design and performance tuning instead of boilerplate code, so my vision it will be the next tool that every CUDA developer must use
No more wrestling with annual performance tuning - just hit go and let AI handle the heavy lifting boosting your CUDA code by up to 20x with zero extra effort.
Replies
Excited for automated profiling! Saves time! 👀
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@shenjun It saves more than time, it's too complicated!!
@jaber23 very agreed!
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@shenjun thanks for the feedback<3
Osaurus
Should CUDA engineers really be vibe coding?
I mean, an NVIDIA H100 Tensor Core GPU is priced at ~$35,000.
If anyone should avoid vibe coding, I'd think it'd be GPU engineers??
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EverTutor AI
wow this is called an amazing product great work man @jaber23 and a huge congratulations on your launch
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WhiteSpace
This could streamline my coding process significantly. How do you envision it transforming the workflow for CUDA engineers?
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@william_jin engineers now can focus more on algorithm design and performance tuning instead of boilerplate code, so my vision it will be the next tool that every CUDA developer must use
Inferock Bench
No more wrestling with annual performance tuning - just hit go and let AI handle the heavy lifting boosting your CUDA code by up to 20x with zero extra effort.
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@hamza_afzal_butt exactly!!:D
Dot Copilot
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YouMind
great！This is what I want！
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All the best for the launch @jaber23!
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Elisi : AI-powered Goal Management App
This sounds incredible — finally a real productivity boost for CUDA developers! 🚀
Instant bottleneck detection + AI-optimized kernel generation is game-changing, especially with easy profiling across architectures. 🔥
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