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  2. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    In computing, CUDA is a proprietary [1] parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs.

  3. Nvidia CUDA Compiler - Wikipedia

    en.wikipedia.org/wiki/Nvidia_CUDA_Compiler

    CUDA code runs on both the central processing unit (CPU) and graphics processing unit (GPU). NVCC separates these two parts and sends host code (the part of code which will be run on the CPU) to a C compiler like GNU Compiler Collection (GCC) or Intel C++ Compiler (ICC) or Microsoft Visual C++ Compiler, and sends the device code (the part which will run on the GPU) to the GPU.

  4. Parallel Thread Execution - Wikipedia

    en.wikipedia.org/wiki/Parallel_Thread_Execution

    The Nvidia CUDA Compiler (NVCC) translates code written in CUDA, a C++-like language, into PTX instructions (an assembly language represented as American Standard Code for Information Interchange text), and the graphics driver contains a compiler which translates PTX instructions into executable binary code, [2] which can run on the processing ...

  5. Nvidia GTC - Wikipedia

    en.wikipedia.org/wiki/Nvidia_GTC

    Nvidia GTC (GPU Technology Conference) is a global artificial intelligence (AI) conference for developers that brings together developers, engineers, researchers, inventors, and IT professionals. [1] Topics focus on AI, computer graphics , data science , machine learning and autonomous machines .

  6. Nvidia unveils robot training tech, new gaming chips and ...

    www.aol.com/news/nvidia-ceo-set-stage-ces...

    Nvidia's stock closed at a record high of $149.43 on Monday, bringing its valuation to $3.66 trillion and making it the world's second-most valuable listed company behind Apple.

  7. Nvidia RTX - Wikipedia

    en.wikipedia.org/wiki/Nvidia_RTX

    Nvidia RTX (also known as Nvidia GeForce RTX under the GeForce brand) is a professional visual computing platform created by Nvidia, primarily used in workstations for designing complex large-scale models in architecture and product design, scientific visualization, energy exploration, and film and video production, as well as being used in mainstream PCs for gaming.

  8. Nvidia launches new services for training large ... - AOL

    www.aol.com/news/nvidia-launches-services...

    As interest around large AI models -- particularly large language models (LLMs) like OpenAI's GPT-3 -- grows, Nvidia is looking to cash in with new fully managed, cloud-powered services geared ...

  9. Nvidia is on a collision course with a $5 trillion valuation ...

    www.aol.com/finance/nvidia-collision-course-5...

    Ives forecast the coming demand could put Nvidia's market capitalization as high as a $5 trillion before long. “More and more the foundation starts with Nvidia,” he said. “That’s not ...