CatalogContainers
Containers
The NGC catalog hosts containers for AI/ML, metaverse, and HPC applications and are performance-optimized, tested, and ready to deploy on GPU-powered on-prem, cloud, and edge systems.
Sort: Most Popular
Displaying 0 containers
NVIDIA AI Enterprise Support
33
Use Case
21
8
7
7
4
4
1
1
1
NVIDIA Platform
15
13
11
9
8
7
6
5
4
3
3
2
2
2
1
1
1
1
1
1
Quick Deploy
9
Industry
Solution
Publisher
Architecture
Multi-Node
Other
Run GPU mutect2 to convert BAM/CRAM to VCF.
Accelerated GATK4 CollectWGSMetrics.
Generate a BQSR report for a BAM file.
This tool converts variant calls in g.vcf format to VCF format.
Run a GPU-accelerated haplotypecaller.
Index a GVCF file.
Build an index for a PON file, which is the prerequisite for running **mutect pon**.
Annotate variants based on a variant database.
Annotate variants based on a PON file.
Sort BAM files.
This container is used for running the data preprocessing part of DeepVariant Training pipeline called make examples
The data-mover tool enables users to ingest their datasets into BCP and use them within their assigned ACE.
Run bam2fq to convert BAM/CRAM to FASTQ.
Run RNA-seq data through the fq2bam pipeline. It will run STAR aligner, co-ordinate sorting and mark duplicates.
Updates the Base Quality Scores using the BQSR report.
Run a GPU-accelerated version of GATK’s CollectMultipleMetrics.
A Dermatology reference application for the Clara AGX platform.
Identifies candidate fusion transcripts.
The DOCA BlueMan Converter service converts DOCA BlueMan-Frontend requests from http to gRPC.
The DOCA BlueMan service is a simple and user-friendly standalone web dashboard that runs completely on NVIDIA's DPU, transparent to the host. The service consolidates all the information an admin needs to know and serves as a one stop shop.
Generate BAM/CRAM output given one or more pairs of FASTQ files. Can also optionally generate a BQSR report.
A docker container is built from https://github.com/NVIDIA/spark-rapids-container.
It's used on Databricks to quickly deploy a GPU accelerated Spark cluster with Spark-Radpis(https://github.com/NVIDIA/spark-rapids).
The MapR Persisent Application Client Container (PACC) supports containerization of existing and new applications by providing containers with persistent data access from anywhere. This a base image with GPU support, and communicating with the MapR Data Platform.
SONiC What Just Happened
Base environment used in the NVIDIA Deep Learning Institute (DLI) Course Accelerating Data Engineering Pipelines, along with other useful libraries for aspiring and professional Data Engineers.