NVIDIA
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CUDA is a parallel computing platform and programming model that enables dramatic increases in computing performance by harnessing the power of the NVIDIA GPUs. These images extend the CUDA images to include OpenGL support through libglvnd.
PhysX creates effects and scene filled with dynamic destruction, particle based fluids, and life-like animation with accurate physics simulation.
NVIDIA virtual GPU (vGPU) technology uses the power of NVIDIA GPUs and NVIDIA virtual GPU software products to accelerate every virtual workflow—from AI to virtual desktop infrastructure (VDI). By making GPU performance possible for every virtual machine (VM), vGPU technology enables users to work more efficiently and productively. In a VDI environment powered by NVIDIA virtual GPU, the NVIDIA virtual GPU software is installed at the virtualization layer along with the hypervisor. The NVIDIA virtual GPU software creates virtual GPUs that enable every virtual machine (VM) to share a physical GPU installed on the server or allocate multiple GPUs to a single VM to power the most demanding workloads. The NVIDIA virtualization software includes a driver for every VM. NVIDIA Quadro® Virtual Data Center Workstation (Quadro vDWS) includes, for example, the powerful Quadro driver. Because work that was typically done by the CPU is offloaded to the GPU, the user has a much better experience, and demanding engineering and creative applications can be supported in a virtualized and cloud environment.
First introduced in 2019, Megatron sparked a wave of innovation in the AI community, enabling researchers and developers to utilize the underpinnings of this library to further LLM advancements. Today, many of the most popular LLM developer frameworks have been inspired by and built directly leveraging the open-source Megatron-LM library, spurring a wave of foundation models and AI startups. Some of the most popular LLM frameworks built on top of Megatron-LM include Colossal-AI, HuggingFace Accelerate, and NVIDIA NeMo Framework.
ShadowPlay is the easiest way to record and share high-quality gameplay videos, screenshots, and livestreams with your friends.
mental ray is a feature rich, high performance 3D rendering software that creates images of outstanding quality and unsurpassed realism based on advanced ray tracing techniques.
NVIDIA Deep Learning GPU Training System (DIGITS) deep learning for data science and research to quickly design deep neural network (DNN) for image classification and object detection tasks using real-time network behavior visualization.
NVIDIA Jarvis is an application framework for multimodal conversational AI services that delivers real-time performance on GPUs.
NVIDIA® cuOpt™ optimizes operations by enabling better, faster decisions with accelerated computing. cuOpt helps teams solve complex routing problems with multiple constraints and delivers new capabilities such as dynamic rerouting, horizontal load-balancing, and robotic simulations, with subsecond solver response times. With 23 world-record benchmarks, cuOpt owns all of the world records on the largest routing benchmarks from the past three years.
NVIDIA Reviews
Ankit P.
Revolutionary Acceleration for Recommender Systems
Neha J.
High Performance and Scalability for Large Language Models
Dharmik V.
Megatron-LM is a framework and a research project which trains AI models like GPT and BERT.
About
What is NVIDIA?
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
