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Accelerated Genome Sequencing Analysis

Experience high-throughput, high-accuracy DNA and RNA sequencing with GPU-accelerated analysis.

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NVIDIA^® Parabricks^® is the only GPU-accelerated computational genomics toolkit that delivers fast and accurate analysis for sequencing centers, clinical teams, genomics researchers, and next-generation sequencing instrument developers.

View Document: NVIDIA Parabricks Product Sheet (PDF 304 kB)

Speed up Applications With Best-in-Class Tools

Use accelerated tooling for gold-standard germline, somatic, and RNA analysis, at speed.

Get up to 80X Faster Performance

Experience up to 80X speedups over CPU-only solutions, reducing computing costs by up to 50 percent.

Improve Accuracy in Sequencing Analysis

Fine tune DeepVariant for your lab, and bring the power of deep learning to your genomic analysis.

Take Advantage of Flexible Workflows

Create customized workflows by configuring tools in Workflow Description Language (WDL) and NextFlow.

Accelerate Genomic Analysis From End to End

Use Gold-Standard Tools

NVIDIA Parabricks provides GPU-accelerated versions of tools used every day by computational biologists and bioinformaticians—enabling significantly faster runtimes, workflow scalability, and lower compute costs.

The toolkit includes full compatibility with workflow languages and managers (WDL, NextFlow, Cromwell) to easily intertwine GPU- and CPU-powered tasks, as well as support for easy cloud deployment (AWS, GCP, Terra, and DNAnexus).

FASTQ to Binary Alignment Map (BAM) to VCF

Experience Unmatched Performance

From FastQ to Variant Call Format (VCF), NVIDIA Parabricks accelerates runtimes across a series of hardware configurations with NVIDIA A100 Tensor Core GPUs. Genomic researchers can experience acceleration across every step of their analysis workflows, from alignment to sorting to variant calling. When more GPUs are used, a near-linear scaling in compute times is observed compared to CPU-only systems, allowing over 80X acceleration.

Analyze a Whole Human Genome at 30X Coverage in Less Than 30 Minutes

NVIDIA runtimes were achieved on an NVIDIA DGX™ A100 320GB system. All analyses were run on HG002 Genome In A Bottle (GIAB NIST) sequenced to 30X coverage, with variant calls made with GATKv4.1.0 HaplotypeCaller.

Get Started With NVIDIA Parabricks

Find the right path for you.

Research

NVIDIA Parabricks is available as a set of containers and pretrained models from NVIDIA NGC^™. Download NVIDIA Parabricks and check out documentation ,workflows and the community forum to help you get started.

Enterprise

Use NVIDIA Parabricks with NVIDIA AI Enterprise software to get full access to enterprise support that provides guaranteed response times, priority security notifications, and AI experts from NVIDIA. To learn more, contact sales.

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Deploy on Premises, in the Cloud, and at the Edge

Build on Premises

Running on one NVIDIA DGX™ A100, NVIDIA Parabricks analyzes up to 25,000 whole genomes per year (30X coverage) with Genomic Analysis Toolkit (GATK) best practices, with throughput scaling linearly beyond a single DGX A100.

Learn More About DGX A100

Read Parabricks DGX Whitepaper

Deploy in the Cloud

In the cloud, time is money. Choose from a range of GPU instances capable of analyzing genomes in a matter of minutes. For easy deployment, several cloud providers host NVIDIA Parabricks as a ready-to-use image for immediate use.

Explore the AWS Marketplace

Explore Google Cloud Platform (GCP)

Explore Terra

Take AI to the Edge

We collaborate with genomics instrument manufacturers to enable the creation of AI-enabled, software-defined DNA sequencers, spatial transcriptomics, and other -omics devices, improving accuracy and enabling real-time analysis at the edge.

Contact the NVIDIA Genomics Team to Learn More

Start Your AI Journey With NVIDIA LaunchPad

Get access to NVIDIA enterprise solutions with a free hands-on-lab on NVIDIA Parabricks for accelerated genomic analysis.

Get Started

Making a Real-World Impact

Analysis at Scale
In Sequencers and Devices
For Cutting-Edge Research

NVIDIA Collaborates with Broad Institute researchers

The Broad Institute

NVIDIA is collaborating with Broad to bring GPU-accelerated Parabricks to the Terra Platform, in addition to optimizing AI-accelerated workflows and large language models to advance discovery.

Read Announcement

National Biobank of Thailand Accelerates Genomic Discoveries

National Biobank of Thailand (NBT)

NBT reduced its whole genome sequencing data processing by four months and its individual user processing time from over 30 hours to just 1–2 hours with NVIDIA DGX A100 and NVIDIA Parabricks.

Read Article

Translational Genomics Research Institute (TGen)

The Human Genome Center (HGC)

HGC at the University of Tokyo announced a new genomics platform to accelerate genomic analysis by 40X compared to a CPU-based environment, utilizing NVIDIA Parabricks Pipelines genomics software.

Read Blog

Demonstrating the power of GPUs in genomics space

Regeneron Genetics Center

Regeneron is using DeepVariant with NVIDIA Parabricks to generate scalable, high-quality data that can be reproduced across the genomics community.

Watch Webinar

Ultima

Ultima Genomics is collaborating with NVIDIA to deliver $100 genome sequencing with AI and accelerated computing.

Read Announcement

Singular

Singular Genomics is collaborating with NVIDIA to deliver market-leading, next-generation sequencing and analysis speeds.

Read Announcement

Oxford Nanopore

Oxford Nanopore is upgrading to its PromethION compute tower, from NVIDIA V100 Tensor Core GPUs to A100 GPUs. This processing power increase will enable it to keep up with high-accuracy basecalling and greatly expand the capacity for super-accurate algorithms.

Read Announcement

Image credit: Steve Fisch, courtesy of Stanford University.

Guinness World Record

A team of researchers achieved a new DNA sequencing record—five hours and two minutes—which will allow clinicians to draw blood from a critical-care patient and reach a genetic disorder diagnosis the same day.

Read Blog

Ultrarapid Nanopore Genome Sequencing in a Critical Care

Stanford University, Google, and Oxford Nanopore

Stanford has demonstrated huge reductions in runtime by integrating the GPU-accelerated implementation of DeepVariant available with NVIDIA Parabricks.

Read Article

Read Paper

GPU-accelerated compute framework for pathogen genomic variant

Purdue University

Researchers at Purdue completed a study that evaluates the performance and accuracy of a GPU-accelerated compute framework for pathogen genomic variant identification.

Read Paper

Contact the Genomics Team

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