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Source channel @githubtrending · Post #14985 · Jul 22
#c_lang#cuda#cuda_driver_api#cuda_kernels#cuda_opengl You can use the CUDA Samples from NVIDIA to learn and test CUDA Toolkit 12.9 features by downloading them from GitHub or as a ZIP file. These samples show how to use CUDA for GPU programming, including utilities, concepts, libraries, and performance optimization. You build them with CMake on Linux, Windows, or Tegra devices, and can run tests automatically with a provided Python script. This helps you understand CUDA programming, debug GPU code, and optimize your applications for better performance on NVIDIA GPUs. It’s a practical way to develop and improve GPU-accelerated software efficiently. https://github.com/NVIDIA/cuda-samples
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@abmedia_news · Post #24587 · 05/14/2026, 03:02 AM
【📜 政策監理｜Bitget執行長Gracy Chen發表看法，清晰法案會改變誰的命運？】 #CLARITYAct#加密貨幣監管#GracyChen Bitget執行長Gracy Chen於5月14日指出，CLARITY Act是產業成熟的轉折。 法案H.R. 3633要求落實資產隔離，並以聯邦規則取代碎片化MTL規範。此舉將獎勵合規先鋒，並淘汰披著DeFi外衣、挪用資產的模式。 📍閱讀全文： https://abmedia.io/bitget-ceo-on-clarity-act 📍 訂閱鏈新聞頻道：https://linktr.ee/abmedia.io
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@venturevillagewall · Post #3891 · 01/16/2025, 10:00 AM
AI Tokens Soar in Market Value Total market cap for AI-related tokens is projected to reach $60 billion by 2025, according to Bitget CEO Gracy Chen. Initial applications of neural networks will likely include trading and crypto wallet management, with exchanges launching their own agents to enhance customer service. CoinGecko’s 2024 crypto industry report shows AI agent tokens surged 322% in Q4, rising in market cap from $4.8 billion to $15.5 billion. Industry experts foresee a transformation in the Web3 sector thanks to AI-based assistants. Read more details on ForkLog #AI#Crypto#VC#Web3#Trading#Investment#Tokens#MarketCap#CoinGecko#NeuralNetworks#CustomerService#Blockchain#AIAgents#Q4Growth#CryptoReport#Bitget#GracyChen#Web3Transformation#HindenburgResearch#Decacorn#ColossalBiosciences