Clara for Genomics
Power unprecedented speed and accuracy in precision genomics with the NVIDIA Clara™ for Genomics software suite.
Fast, Accurate, and Scalable Solutions for Bioinformatics Workflows
NVIDIA Parabricks
Accelerate Genomics Analysis
NVIDIA® Parabricks® is a scalable genomics software suite for secondary analysis that provides GPU-accelerated versions of trusted, open-source tools.
Compatible with leading sequencing instruments, researchers, bioinformaticians, and data scientists can use Parabricks across diverse bioinformatics workflows.
Parabricks increases speed with faster runtimes and reduces cost—while enhancing accuracy and ensuring transparency. As a result, researchers can uncover biological insights and discoveries faster.
NVIDIA AI Blueprints
Easily Deploy Genomics and Single-Cell Solutions
NVIDIA AI Blueprints are lightweight, easily deployable blueprints for genomics and single-cell analysis.
Built for bioinformaticians and genomics platform providers, AI Blueprints allow users to easily deploy and test NVIDIA Parabricks and NVIDIA RAPIDS™—including RAPIDS-single-cell developed by scverse—without requiring GPUs or cloud provisions.
By easily evaluating and expanding the accessibility of accelerated genomics libraries, scientists and researchers can further genomic understanding by getting up and running faster.
NVIDIA NIM Microservices
Optimize Alignment and Variant Calling
NVIDIA NIM™ microservices are production-ready, optimized, and composable microservices with FQ2BAM for alignment and DeepVariant for universal variant calling.
Data scientists and developers can gain access to the latest advances in generative AI with industry-standard APIs that make it easy to create and deploy cloud-native applications.
Reduce time-consuming analysis. For alignment, production-ready, industry-standard alignment occurs in minutes instead of hours. Plus, optimize performance of variant calling from different sequencing platforms.
Additional Technologies
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FAQ
NVIDIA Parabricks is a GPU-accelerated software suite for secondary genomic analysis. Parabricks is compatible with all leading sequencing instruments and supports diverse bioinformatics workflows.
Parabricks increases speed, reduces cost, and boosts accuracy for secondary genomic analysis.
- Increase speed: Experience 135x faster analysis of whole-genome sequencing (WGS) compared to CPU-only solutions.
- Reduce cost: Lower compute cost by up to 50% for WGS compared to CPU-only solutions.
- Enhance accuracy: Deploy high-accuracy deep learning for all major sequencers.
- Ensure transparency: Reproduce results from trusted, open-source tools.
Parabricks is available as a public container on NVIDIA NGC™ for use on premises or on any cloud service platform or provider.
For customers who need support for Parabricks in clinical workflows, large sequencing projects, high-throughput platforms, or other workflows that require immediate assistance, NVIDIA offers NVIDIA AI Enterprise.
Parabricks can be run on public cloud providers, platforms and partners, and on premises.
- Public cloud providers: AWS, Google Cloud, Oracle Cloud, Microsoft Azure, Naver Cloud Platform, Baidu AI Cloud, and Alibaba Cloud
- Platforms and partners: DNAnexus, Seqera, AWS HealthOmics, Terra, Velsera, FormBio, and Lifebit
- On premises: NVIDIA DGX™ systems, NVIDIA-Certified servers, Dell Technologies, Hewlett Packard Enterprise, Lenovo, Cisco, Atos, and Supermicro
Parabricks matches the accuracy of open-source tools, so you can switch out open-source tools and get the same results with Parabricks. However, Parabricks also accelerates these tools so you can run analysis even faster. The latest speed benchmarks can be found in the table below.
| NVIDIA RTX PROTM 6000 Newest Support | NVIDIA H100 SXM GPU | NVIDIA L4 GPU Lowest Cost Per Sample | ||||
|---|---|---|---|---|---|---|
| 2 GPUs | 4 GPUs | 2 GPUs | 4 GPUs | 2 GPUs | 4 GPUs | |
| Giraffe(Paired-End) | 59.37 | 31.05 | 60.10 | 37.68 | 81.43 | 44.57 |
| DeepSomatic | 43.28 | 23.93 | 54.32 | 35.13 | 215.33 | 110.05 |
| Fq2bam(BWA-MEM) | 9.02 | 6.52 | 10.10 | 7.28 | 35.10 | 19.28 |
| rna_fq2bam(STAR) | 7.55 | 7.03 | 7.78 | 10.23 | 22.28 | 12.73 |
| fq2bam_meth(BWA-Meth) | 32.27 | 22.13 | 34.60 | 20.35 | 132.43 | 67.03 |
| DeepVariant | 4.67 | 2.75 | 7.60 | 5.90 | 13.83 | 8.03 |
| HaplotypeCaller | 8.33 | 3.83 | 8.63 | 4.17 | 14.20 | 7.03 |
| Mutect2 | 29.50 | 13.52 | 27.67 | 13.67 | 50.91 | 26.63 |
The latest benchmarks on the most popular NVIDIA GPUs for the newest support, fastest speed, and lowest cost per sample.
Performance time listed in minutes.
Parabricks is available as a docker image and can run on premise or in any cloud environment where NVIDIA GPUs are available. Parabricks produces equivalent results to common open-source tools, so it can be used as a drop-in replacement to accelerate key parts of existing workflows. It is also fully configurable, letting users choose which steps and parameter settings to run, and is compatible with leading workflow managers, such as NextFlow and Cromwell.
Please contact us with your question and check out the developer forum for the latest Parabricks discussions.
