René's URL Explorer Experiment


Title: CUDA Platform for Accelerated Computing | NVIDIA Developer

Open Graph Title: NVIDIA CUDA

X Title: NVIDIA CUDA Platform for Accelerated Computing

Description: As the foundation for GPU computing, NVIDIA CUDA provides the software layer that enables applications to harness the power of GPUs.

Open Graph Description: Explore CUDA resources including libraries, tools, integrations, tutorials, and more.

X Description: Developers can program in different languages, leverage GPU-accelerated libraries and frameworks, and integrate GPU computing into their software stack for optimal functionality and performance.

Keywords:

Opengraph URL: https://developer.nvidia.com/cuda

X: @NVIDIA

direct link

Domain: developer.nvidia.com


Hey, it has json ld scripts:
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Links:

Homehttps://developer.nvidia.com
Download CUDA Toolkithttps://developer.nvidia.com/cuda-downloads
Documentationhttps://docs.nvidia.com/cuda/
Programming Guidehttps://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html
Tutorials and Samples https://github.com/NVIDIA/accelerated-computing-hub
GPU Supporthttps://developer.nvidia.com/cuda-gpus
Forumhttps://forums.developer.nvidia.com/c/accelerated-computing/cuda/206
FAQhttps://developer.nvidia.com/cuda-faq
Get the CUDA Development Environmenthttps://developer.nvidia.com/cuda-toolkit
Write GPU-Powered Pythonhttps://developer.nvidia.com/cuda-python
Unlock Peak GPU Performancehttps://developer.nvidia.com/cuda/tile
Build, Debug, and Profile Softwarehttps://developer.nvidia.com/tools-overview
Explore Prebuilt, Optimized Librarieshttps://developer.nvidia.com/cuda/gpu-accelerated-libraries
CUDA Programming Guidehttps://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html
https://developer.download.nvidia.com/images/cuda/what-is-cuda.svg
CUDA Toolkithttps://developer.nvidia.com/cuda-toolkit
Watch Video https://www.nvidia.com/en-us/on-demand/session/gtc25-S72571/
Start Learninghttps://github.com/NVIDIA/accelerated-computing-hub/tree/main/gpu-cpp-tutorial
Start Learninghttps://github.com/NVIDIA/accelerated-computing-hub/tree/main/tutorials/accelerated-python
Watch Video https://www.nvidia.com/en-us/on-demand/session/gtc25-s72897/
Train a Reasoning-Capable LLM in One Weekend With NVIDIA NeMohttps://developer.nvidia.com/blog/train-a-reasoning-capable-llm-in-one-weekend-with-nvidia-nemo/
NeMo Frameworkhttps://github.com/NVIDIA/NeMo
Train Your Own Reasoning Model in 48 Hourshttps://github.com/NVIDIA-NeMo/NeMo/blob/main/tutorials/llm/reasoning/Reasoning-SFT.ipynb
NVIDIA Dynamo, A Low-Latency Distributed Inference Framework for Scaling Reasoning AI Modelshttps://developer.nvidia.com/blog/introducing-nvidia-dynamo-a-low-latency-distributed-inference-framework-for-scaling-reasoning-ai-models/
NVIDIA Dynamohttps://github.com/ai-dynamo/dynamo
Deploy LLM Inference With NVIDIA Dynamo and vLLMhttps://github.com/ai-dynamo/dynamo/tree/main/docs/guides
How to Run AI-Powered CAE Simulationshttps://developer.nvidia.com/blog/how-to-run-ai-powered-cae-simulations/
NVIDIA PhysicsNeMo™https://docs.nvidia.com/physicsnemo/index.html
Accelerating Computer-Aided Engineering (CAE) With NVIDIA AI Physics Technologyhttps://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-OV-48+V1
Build an Interactive Data Analytics Dashboardhttps://colab.research.google.com/gist/will-hill/aa24c3ffe1428c005af3793fcacf9bd2/cudf_pandas_opencellid_demo.ipynb
https://developer.nvidia.com/cuda
Accelerated Exploratory Data Analysis With pandas on NVIDIA GPUs (16:07https://www.youtube.com/watch?v=PJpCJsqcfOk
cuDFhttps://docs.rapids.ai/api/cudf/stable/
Apache Spark Accelerated With cuDFhttps://nvidia.github.io/spark-rapids/
NVIDIA CUDA-Q Powers Quantum Applications Researchhttps://developer.nvidia.com/blog/nvidia-cuda-q-powers-quantum-applications-research/
CUDA-Qhttps://nvidia.github.io/cuda-quantum/latest/index.html
CUDA-Q Academichttps://github.com/NVIDIA/cuda-q-academic
AI Foundation Models With NVIDIA Cosmos™ Predict-2https://developer.nvidia.com/blog/develop-custom-physical-ai-foundation-models-with-nvidia-cosmos-predict-2/
Cosmos Predict-2https://github.com/nvidia-cosmos/cosmos-predict2
Cosmoshttps://github.com/nvidia-cosmos
View Accelerated Computing Learning Pathhttps://nvdam.widen.net/s/brxsxxtskb/dli-learning-journey-2009000-r5-web
Learn More About CUDA https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+T-AC-01+V1
Learn More About Accelerating C++ Code with CUDA https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-AC-04+V2
Learn More About Accelerated Computing Hub https://github.com/NVIDIA/accelerated-computing-hub
View Accelerated Computing Learning Path https://nvdam.widen.net/s/brxsxxtskb/dli-learning-journey-2009000-r5-web
Download CUDA Toolkithttps://developer.nvidia.com/cuda-downloads

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