Overview

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All versions of Parabricks before version 4.0.0-1 are now end of life and are being deprecated. For the latest version of Parabricks, please visit https://catalog.ngc.nvidia.com/orgs/nvidia/teams/clara/containers/clara-parabricks . For documentation, including quickstart guides on how to deploy Parabricks on AWS, please visit https://docs.nvidia.com/clara/parabricks/latest/tutorials/cloudguides.html

Highlights

Supports multiple analysis pipelines for DNA and RNA applications using NGS data
Supports multiple variant callers for both germline and somatic mutation workflows
Supports GATK4.1 and Google's DeepVariant

Details

Sold by

Ingram Micro

Typical total price

This estimate is based on use of the seller's recommended configuration (g4dn.12xlarge) in the US East (N. Virginia) Region. View pricing details

$4.212/hour

Features and programs

Financing for AWS Marketplace purchases

AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.

View financing details

Pricing

NVIDIA Clara Parabricks Pipelines

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Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.

Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.

Region

Usage costs (5)

Info

Instance type	Product cost/hour	EC2 cost/hour	Total/hour
p3.8xlarge	$0.30	$12.24	$12.54
p3.16xlarge	$0.30	$24.48	$24.78
p3dn.24xlarge	$0.30	$31.212	$31.512
g4dn.12xlarge Recommended	$0.30	$3.912	$4.212
g4dn.metal	$0.30	$7.824	$8.124

Additional AWS infrastructure costs

Type	Cost
EBS General Purpose SSD (gp3) volumes	$0.08/per GB/month of provisioned storage

Vendor refund policy

None

Legal

Vendor terms and conditions

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Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

Usage information

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Version

Delivery details

64-bit (x86) Amazon Machine Image (AMI)

Amazon Machine Image (AMI)

An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

Version release notes

All versions of Parabricks before version 4.0 are now end of life and are being deprecated.

Additional details

Usage instructions

Please visit this following usage instruction link: https://docs.nvidia.com/clara/parabricks/3.8.0/index.html

Resources

Vendor resources

Product home page

Clara Parabricks Pipelines Documentation

Support

Vendor support

https://docs.nvidia.com/clara/parabricks/v3.5/text/getting_started.html Parabricks-Support@nvidia.com

AWS infrastructure support

AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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Ratings and reviews

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1 AWS reviews

1 external reviews

External reviews are sourced from G2 and are not included in the star rating for this product.

Akshat A.

Helping in Medical Industry

Reviewed on Feb 10, 2024

Review provided by G2

What do you like best about the product?

NVIDIA Clara Parabricks Pipelines accelerate and optimize healthcare workflows, revolutionizing medical research and diagnosis.

What do you dislike about the product?

NVIDIA Clara Parabricks Pipelines can be complex to set up and require significant computational resources.

What problems is the product solving and how is that benefiting you?

NVIDIA Clara Parabricks Pipelines streamline medical data analysis, improving diagnostic accuracy and speeding up research, ultimately enhancing patient care.

Web3 Genomics accelerated by NVIDIA Clara ParaBricks

Reviewed on May 27, 2023

Purchase verified by AWS

At GenoVerse.io, we were able to accelerate our single Exome pipeline from 34 hours to 15 min per sample and our TRIO analysis to 1 hour.
Amazing!