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Tweets including CUDA
CUDA Live: Introduction to CUDA Rust
CUDA is somehow both the most underrated and the most overrated technology in AI
cuda frameworks that JIT and autotune are so painful. i don't want to have magic happen during the start of training. i want to precompile my kernels, test them once, and be happy.
Replacing CUDA with FBTriton for Table Batched Embedding (TBE) kernels delivered massive gains for our rec sys models. @Meta contributors achieved up to 1.28x faster forward passes, 2x faster backward passes, and a huge boost in developer velocity. Check out the engineering deep-dive: ✍️ Daohang Shi, Oleksandr Stashuk, Rupert Wu, Liangbei Xu, Rich Zhu
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Bring CUDA-accelerated transport to existing ROS 2 nodes with an AI coding agent. ⚡ New agent skills in NVIDIA Isaac ROS 5.0 help audit data movement, preserve standard ROS 2 interfaces, remove unnecessary host copies, and verify the CUDA buffer backend. Explore the technical workflow 📄 #ROSCon#
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From CUDA to ChatGPT, $NVDA’s rise has mirrored every major wave in modern computing. Now, optimism around US-China AI chip talks is pushing the company to a new record market cap of $5.6T. Can the AI boom keep powering the next leg higher for $NVDA?
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128GB of sweet CUDA memory on an RTX-Spark platform for less than the original price of a DGX-Spark ($3.8K)! Would you pull the trigger? 🚨 128GB of sweet Nvidia unified memory + CUDA in a laptop for $3,832. That is actually less than the original $3,999 price of a DGX Spark. Stats for HP's new RTX Spark OmniBook X 🧠 RTX Spark N1X 🟢 6,144 Blackwell GPU cores 💾 128GB LPDDR5X unified memory 💻 14" 3K OLED 120Hz 💽 1TB SSD 🪟 Windows 11 ⚠️ Windows on ARM64, so apps may not be cross-compiled! 🏷️ Coupon code in image. 🔗Link in ALT
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Nvidia’s CUDA downloads have reached 1.2 billion as of Q2, up more than 37X from 32 million in 2021. $NVDA
🚨 NVIDIA $NVDA LAUNCHES CUDA-Q LOGICAL TO HELP RESEARCHERS BUILD SELF-CORRECTING QUANTUM SYSTEMS