NVIDIA CUDA-X AI
E890456
NVIDIA CUDA-X AI is a GPU-accelerated software stack from NVIDIA that provides optimized libraries, tools, and frameworks for building and deploying high-performance AI and data science applications.
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
AI software stack
ⓘ
GPU-accelerated software stack ⓘ |
| basedOn | NVIDIA CUDA NERFINISHED ⓘ |
| developer | NVIDIA NERFINISHED ⓘ |
| hasComponent |
CUDA libraries
NERFINISHED
ⓘ
DALI NERFINISHED ⓘ NCCL NERFINISHED ⓘ NVIDIA Clara NERFINISHED ⓘ NVIDIA Merlin NERFINISHED ⓘ NVIDIA Metropolis NERFINISHED ⓘ NVIDIA NeMo NERFINISHED ⓘ NVIDIA Riva NERFINISHED ⓘ NVIDIA TensorRT-LLM NERFINISHED ⓘ NVIDIA Triton Inference Server NERFINISHED ⓘ NVIDIA cuQuantum NERFINISHED ⓘ RAPIDS NERFINISHED ⓘ TensorRT NERFINISHED ⓘ cuBLAS NERFINISHED ⓘ cuDNN NERFINISHED ⓘ cuFFT NERFINISHED ⓘ cuSPARSE NERFINISHED ⓘ |
| optimizedFor | NVIDIA GPUs NERFINISHED ⓘ |
| partOf | NVIDIA AI platform NERFINISHED ⓘ |
| provides |
GPU-accelerated libraries
ⓘ
developer tools ⓘ optimized AI frameworks ⓘ |
| supports |
data analytics
ⓘ
deep learning ⓘ high-performance computing ⓘ inference ⓘ machine learning ⓘ training ⓘ |
| supportsFramework |
JAX
NERFINISHED
ⓘ
MXNet NERFINISHED ⓘ PyTorch NERFINISHED ⓘ TensorFlow NERFINISHED ⓘ |
| supportsLanguage |
C
ⓘ
C++ ⓘ CUDA C NERFINISHED ⓘ Java ⓘ Python ⓘ |
| targetUser |
AI researchers
ⓘ
data scientists ⓘ machine learning engineers ⓘ software developers ⓘ |
| useCase |
accelerating data science workflows
ⓘ
building AI applications ⓘ deploying AI applications ⓘ optimizing inference performance ⓘ scaling AI workloads ⓘ |
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.