NVIDIA Parabricks
GPU-accelerated implementations of alignment, GATK steps and variant callers.
No reviewed evaluations are linked here in this release. See the sources and separately identified configurations below.
Overview
GPU-accelerated implementations of alignment, GATK steps and variant callers.
Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.
Evaluations and results
0 evaluations · 0 results. Different protocols are not a single leaderboard.
Applied filters: All linked evaluations
No evaluations linked in this release.
Source checking is not independent reproduction. Release 2026-10-09-8cc1db47c7f9.
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How it works, versions and access
Strengths, limitations and unresolved questions
Evidence
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Evidence table
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Sources and history
Release 2026-10-09-8cc1db47c7f9 · Record review: source checked
3 source records and release history
- Benchmarking accelerated next-generation sequencing analysis pipelines · Original source · Bioinformatics Advances 5(1):vbaf085, published 2025-05-15; PMC12092081 full-text XML
- Accelerating genomic workflows using NVIDIA Parabricks · Original source · BMC Bioinformatics 24:221, published 2023-05-31; PMC10230726 full-text XML
- Rapid NGS Analysis on Google Cloud Platform: Performance Benchmark and User Tutorial · Original source · Clinical and Translational Science 18(11):e70416, published 2025-11-18; PMC12627752 full-text XML
Technical metadata and extraction receipts
Stable ID: model-execution-20261009-method-parabricks
- areas
- dna-genomes
- contexts
- clinical_research
- method types
- conventional_pipeline
- reported name
- Parabricks
- entity level
- method
- source locator
- Methods and table labels of the cited sources
- missing metadata
- version: reason: inapplicable; note: Family record; versions are on configurations
Related records
- configuration of: NVIDIA Parabricks Germline v4.0.1-1 on a GCP VM with 48 vCPUs, 58 GB memory and 1 T4 GPU (Franzoso et al. 2025)
- configuration of: Parabricks 3.7.0-1, 2 GPUs on AWS (O'Connell et al. 2023)
- configuration of: Parabricks 3.7.0-1, 4 GPUs on AWS (O'Connell et al. 2023)
- configuration of: Parabricks 3.7.0-1, 8 GPUs on AWS (O'Connell et al. 2023)
- configuration of: Parabricks 3.7.0-1, 2 A100 GPUs on NVIDIA DGX A100 (O'Connell et al. 2023)
- configuration of: Parabricks 3.7.0-1, 4 A100 GPUs on NVIDIA DGX A100 (O'Connell et al. 2023)
- configuration of: Parabricks 3.7.0-1, 8 A100 GPUs on NVIDIA DGX A100 (O'Connell et al. 2023)
- configuration of: Parabricks 3.7.0-1, 2 A100 GPUs on GCP a2-highgpu (O'Connell et al. 2023)
- configuration of: Parabricks 3.7.0-1, 4 A100 GPUs on GCP a2-highgpu (O'Connell et al. 2023)
- configuration of: Parabricks 3.7.0-1, 8 A100 GPUs on GCP a2-highgpu (O'Connell et al. 2023)
- configuration of: NVIDIA Parabricks DeepVariant v4.3.0-1 on 8 H100 GPUs (Samarakoon et al. 2025)
- configuration of: NVIDIA Parabricks on 4 NVIDIA A100 GPUs (UiO HPC) (Samarakoon et al. 2025)
- configuration of: NVIDIA Parabricks on 4 NVIDIA L4 GPUs (GCP G2) (Samarakoon et al. 2025)
- configuration of: NVIDIA Parabricks on 8 NVIDIA H100 GPUs (GCP A3) (Samarakoon et al. 2025)