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@airportroster · Post #904 · 06/12/2022, 09:58 AM
#编号688#墓碑 #GMPORA#GMP 收录时间: 2022.06.12 官网: gmpora.me 群组: @pay_yueluoyun_xyz_Tg 频道: @GMPORAV 商店截图 已被转手。 📖-------> 目录 <------- 📖
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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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@OnlineEducation10 · Post #136 · 03/24/2021, 04:01 AM
#Biopharma Institute offers effective and engaging #RemoteLearning solutions in Good Manufacturing Practice and Good Clinical Practice. Earn your #GMP & #GCP professional certification. http://biopharmainstitute.com 👌 Join @OnlineEducation10
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@venturevillagewall · Post #3629 · 12/21/2024, 10:22 AM
$4.07M Funding for PeptiSystems PeptiSystems secured $4.07M in funding on December 20, 2024. The company develops advanced instruments for solid-phase synthesis in peptide and oligonucleotide therapeutics, catering to both GMP and non-GMP manufacturing. Discover more: PeptiSystems #Funding#PeptiSystems#Therapeutics#Peptides#Oligonucleotides#GMP#Manufacturing#Synthesis#Biotechnology#Pharmaceuticals#MedicalDevices#FlowthroughColumnTechnology#ProcessDevelopment#LifeSciences