End-to-end speedup vs CPU
HG002 30x WGS on A100 40G
12×
Measured against a tuned CPU pipeline. Full breakdown in the benchmark pack.
Product · Omnis Genome Nexus
Omnis Genome Nexus
Verified. Deterministic. Reproducible.
FASTQ → VCF → proof bundle
GPU-accelerated variant calling that returns a proof bundle you can audit: VCF, metrics, container digests, determinism checks, and a reproducible rerun script.
Built for bioinformatics and platform teams shipping production genomics pipelines who need audit-grade evidence.
You define success
Accuracy thresholdsRuntime ceilingsDeterminism requirements
Bring your pipeline and a baseline run — drift becomes obvious once deterministic reruns must match.
Evidence
Benchmarks and artifacts you can audit — speed, accuracy, determinism, and proof bundle deliverables.
VerifiedExamine proof bundle
End-to-end speedup vs CPU
HG002 30x WGS on A100 40G
12×
Measured against a tuned CPU pipeline. Full breakdown in the benchmark pack.
Proof bundle deliverable
Hashes + container digests
VCF + report
See the proof bundle for the exact artifact shape and fields.
Rerun determinism
Pinned inputs + containers
Checked
If a rerun differs, it is visible in the determinism + verification report.
HG002 SNP F1
GIAB HG002 harness
99%
From an internal regression harness; drift is caught before artifacts ship.
Proof, not promises
Built for teams that require proof
Designed for teams burned by pipeline drift, brittle glue, and opaque outputs. Snapshot Reports force the proof bundle to match your acceptance criteria.
Failure mode (anonymized)
Same reads. Same reference. Different VCF. The team lost weeks reconciling drift that turned out to be unpinned containers and nondeterministic stages. OGN is built so drift is caught before artifacts ship.
Proof bundle
- This is what you get: VCF, metrics, hashes, container digests, and a reproducible run script.
- A determinism + verification report shows whether reruns match and where drift would come from.
Determinism
- Pinned containers + regression harnesses keep HG002 stable run-to-run.
- Verification gates cross-check variants and metrics before artifacts ship.
Performance
- GPU-native kernels + streaming reduce turnaround time without giving up traceability.
- Benchmark packs include cost breakdowns, configs, and container digests.
Start with a Snapshot Report
We run your baseline + OGN and return a proof bundle you can audit: artifacts, hashes, metrics, and cost breakdown.
Part of the Omnis platform
Omnis Genome Nexus runs on the same GPU rail as Helix Studio and the VeriBiota verification layer.
Benchmarks and proof artifacts
We benchmark directly against leading workflow managers and GPU stacks. Full HG002 reports ship with configuration details, container digests, verification outputs, and cost breakdowns.
Used internally to catch drift before it hits production, and shipped as part of Snapshot Reports.
You get full benchmark packs, not cherry-picked screenshots. Every run includes raw metrics, container digests, command lines, and determinism checks. Most pipelines fail once you require reruns to match and artifacts to be auditable.
Proof bundle deliverable
Hashes + container digests
VCF + report
See the proof bundle for the exact artifact shape and fields.
Rerun determinism
Pinned inputs + containers
Checked
If a rerun differs, it is visible in the determinism + verification report.
HG002 SNP F1
GIAB HG002 harness
99%
From an internal regression harness; drift is caught before artifacts ship.
Benchmarks last updated Dec 7, 2025.
Faster than your current stack
HG002 30x WGS on A100 40G
Use cases
Built for teams where runtime, trust, and programmability are non-negotiable.
High throughput clinical calling
Run 30× genomes end-to-end with deterministic artifacts and predictable turnaround.
Explore High throughput clinical calling →
Variant → candidate ranking
Triage candidates on one deterministic GPU rail.
Explore Variant → candidate ranking →
Platforms embedding genomics
Add GPU genomics to LLM agents and workflow products with one API. Power automated reviewers, fast filters, and custom pipelines.
Explore Platforms embedding genomics →
Developer corner
Command line and API first. Tie Omnis Genome Nexus into your existing workflow managers or call the GPU fleet directly via gRPC. Example: submit a 30× genome, stream metrics, and export VCF and summaries in one shot.
OGN gateway
$ ogn submit \ --reads s3://datasets/hg002/R1.fastq.gz \ --reads s3://datasets/hg002/R2.fastq.gz \ --ref s3://refs/grch38_noalt.fa \ --pipeline wgs30
Deterministic container builds, VeriBiota verification, and streaming artifacts.
Get a proof bundle on your data
FASTQ → VCF → proof bundle with pinned containers, verification gates, and determinism checks. Snapshot Reports make the decision obvious.