Search results for “site:docs.nvidia.com”
Page 4 of about
50 results
d
docs.nvidia.com
deeplearning › tensorrt
NVIDIA TensorRT is an SDK that facilitates high-performance machine learning inference. It complements training frameworks such as TensorFlow, PyTorch, and MXNet. It focuses on running an already-trained network quickly and efficiently on NVIDIA hardware. Attention Ensure you refer to the Release...
d
docs.nvidia.com
deeplearning › frameworks
NVIDIA Optimized Frameworks such as Kaldi, NVIDIA Optimized Deep Learning Framework (powered by Apache MXNet), NVCaffe, PyTorch, and TensorFlow (which includes DLProf and TF-TRT) offer flexibility with designing and training custom (DNNs for machine learning and AI applications.
d
docs.nvidia.com
gpudirect-storage › api-reference-guide
The NVIDIA® GPUDirect® Storage cuFile API Reference Guide provides information about the cuFile API reference that is used in applications and frameworks to leverage GDS technology and describes the intent, context, and operation of those...
d
docs.nvidia.com
networking-ethernet-software › nvidia-air
NVIDIA Air is a cloud-hosted, data center simulation platform that behaves like a real-world production environment. Use NVIDIA Air to create a digital twin of your IT infrastructure so that you can: Validate configurations, features, and automation code. Run full-scale network architectures with...
d
docs.nvidia.com
cloudera › prod_certified-for-cloudera.html
The integration of NVIDIA RAPIDS into the Cloudera Data Platform (CDP) provides transparent GPU acceleration of data analytics workloads using Apache Spark. This documentation describes the integration and suggested reference architectures for deployment.
d
docs.nvidia.com
datacenter › dcgm › latest
User Guide: Overview Getting Started Feature Overview DCGM Diagnostics DCGM Modularity Error Injection Debugging and Troubleshooting API Reference: Modules Administrative System Configuration Field APIs Process Statistics Job Statistics...
d
docs.nvidia.com
cuopt › service › latest
The NVIDIA-managed cuOpt service is a high-performance, on-demand routing optimization service fully managed by NVIDIA.
d
docs.nvidia.com
dgx-cloud › nemo-dgx-cloud › current
NVIDIA NeMo Curator on DGX Cloud# Overview Introduction Curation Pipeline Overview Release Notes 1.0 Getting Started Creating a Dataset Dataset Guidelines Adding a Dataset Managing Datasets Reference Curation Parameters Curated Dataset Structure API Reference Prerequisites Example Workflows...
d
docs.nvidia.com
megatron-core › developer-guide › latest
Developer documentation for Megatron Core covers API documentation, quickstart guide as well as deep dives into advanced GPU techniques needed to optimize LLM performance at scale.
d
docs.nvidia.com
datacenter › cloud-native › container-toolkit › latest
The NVIDIA Container Toolkit is a collection of libraries and utilities enabling users to build and run GPU-accelerated containers. It currently includes: The NVIDIA Container Runtime (nvidia-container-runtime) The NVIDIA Container Toolkit...