rewirebio.iobenchmarks
Protocol

NTv3 H100 GPU-hours per training stage (Boshar et al. 2025 Table 5)

H100 GPU-hours used by each training stage of each NTv3 model size.

3 evaluations · 13 results

Overview

An explanatory profile has not yet been reviewed for this record.

Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.

3 recorded evaluations, 13 metric rows. A comparison chart has not yet been validated for these results. The table retains the individual findings and their sources.

View coverage and remaining gaps across all benchmarks

Results

Results are available, but no reviewed comparison panel is linked in this release.

All evaluations

3 evaluations · 13 results. Different protocols are not a single leaderboard.

Protocol: NTv3 H100 GPU-hours per training stage (Boshar et al. 2025 Table 5) · Dataset: NTv3 training data, all stages (Boshar et al. 2025)

Sorted by Accelerator time (Training stage 'Length ext. 1-4' (200B tokens)) (lower is better). The best value in each column is highlighted. Decimals are rounded for display; each value links to the printed value and its source.

Tested configurationAccelerator time (Training stage 'Length ext. 1-4' (200B tokens))Accelerator time (Training stage 'Length ext. 5-7' (150B tokens))Accelerator time (Training stage 'Pre-training 8 kb' (10.5T tokens))Accelerator time (Training stage 'Post-training 1' (1.2T tokens))Accelerator time (Training stage 'Post-training 2' (54B tokens))
NTv3 100M training run (Boshar et al. 2025)Evaluation40 (best in column)483,0001,536 (best in column)192 (best in column)
NTv3 8M training run (Boshar et al. 2025)Evaluation40 (best in column)40 (best in column)1,608 (best in column)Not reportedNot reported
NTv3 650M training run (Boshar et al. 2025)Evaluation88806,7361,824192 (best in column)
All 13 result rows with coverage, uncertainty and sources
Filter evaluations

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: NTv3 100M training run (Boshar et al. 2025)Protocol: NTv3 H100 GPU-hours per training stage (Boshar et al. 2025 Table 5)
Dataset: NTv3 training data, all stages (Boshar et al. 2025)
40 Accelerator time (Training stage 'Length ext. 1-4' (200B tokens))
hour · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

NTv3 100M training GPU-hours (Boshar et al. 2025 Table 5)

gfm-guide-20261014-protocol-ntv3-training-gpu-hours

Aggregation: Not reported

A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction (NTv3), bioRxiv v1 · Table 5 (page 34), row '100M', column 'Length ext. 1-4'
Configuration: NTv3 100M training run (Boshar et al. 2025)Protocol: NTv3 H100 GPU-hours per training stage (Boshar et al. 2025 Table 5)
Dataset: NTv3 training data, all stages (Boshar et al. 2025)
48 Accelerator time (Training stage 'Length ext. 5-7' (150B tokens))
hour · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

NTv3 100M training GPU-hours (Boshar et al. 2025 Table 5)

gfm-guide-20261014-protocol-ntv3-training-gpu-hours

Aggregation: Not reported

A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction (NTv3), bioRxiv v1 · Table 5 (page 34), row '100M', column 'Length ext. 5-7'
Configuration: NTv3 100M training run (Boshar et al. 2025)Protocol: NTv3 H100 GPU-hours per training stage (Boshar et al. 2025 Table 5)
Dataset: NTv3 training data, all stages (Boshar et al. 2025)
1,536 Accelerator time (Training stage 'Post-training 1' (1.2T tokens))
hour · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

NTv3 100M training GPU-hours (Boshar et al. 2025 Table 5)

gfm-guide-20261014-protocol-ntv3-training-gpu-hours

Aggregation: Not reported

A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction (NTv3), bioRxiv v1 · Table 5 (page 34), row '100M', column 'Post-training 1'
Configuration: NTv3 100M training run (Boshar et al. 2025)Protocol: NTv3 H100 GPU-hours per training stage (Boshar et al. 2025 Table 5)
Dataset: NTv3 training data, all stages (Boshar et al. 2025)
192 Accelerator time (Training stage 'Post-training 2' (54B tokens))
hour · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

NTv3 100M training GPU-hours (Boshar et al. 2025 Table 5)

gfm-guide-20261014-protocol-ntv3-training-gpu-hours

Aggregation: Not reported

A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction (NTv3), bioRxiv v1 · Table 5 (page 34), row '100M', column 'Post-training 2'
Configuration: NTv3 100M training run (Boshar et al. 2025)Protocol: NTv3 H100 GPU-hours per training stage (Boshar et al. 2025 Table 5)
Dataset: NTv3 training data, all stages (Boshar et al. 2025)
3,000 Accelerator time (Training stage 'Pre-training 8 kb' (10.5T tokens))
hour · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

NTv3 100M training GPU-hours (Boshar et al. 2025 Table 5)

gfm-guide-20261014-protocol-ntv3-training-gpu-hours

Aggregation: Not reported

A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction (NTv3), bioRxiv v1 · Table 5 (page 34), row '100M', column 'Pre-training 8 kb'
Configuration: NTv3 650M training run (Boshar et al. 2025)Protocol: NTv3 H100 GPU-hours per training stage (Boshar et al. 2025 Table 5)
Dataset: NTv3 training data, all stages (Boshar et al. 2025)
88 Accelerator time (Training stage 'Length ext. 1-4' (200B tokens))
hour · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

NTv3 650M training GPU-hours (Boshar et al. 2025 Table 5)

gfm-guide-20261014-protocol-ntv3-training-gpu-hours

Aggregation: Not reported

A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction (NTv3), bioRxiv v1 · Table 5 (page 34), row '650M', column 'Length ext. 1-4'
Configuration: NTv3 650M training run (Boshar et al. 2025)Protocol: NTv3 H100 GPU-hours per training stage (Boshar et al. 2025 Table 5)
Dataset: NTv3 training data, all stages (Boshar et al. 2025)
80 Accelerator time (Training stage 'Length ext. 5-7' (150B tokens))
hour · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

NTv3 650M training GPU-hours (Boshar et al. 2025 Table 5)

gfm-guide-20261014-protocol-ntv3-training-gpu-hours

Aggregation: Not reported

A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction (NTv3), bioRxiv v1 · Table 5 (page 34), row '650M', column 'Length ext. 5-7'
Configuration: NTv3 650M training run (Boshar et al. 2025)Protocol: NTv3 H100 GPU-hours per training stage (Boshar et al. 2025 Table 5)
Dataset: NTv3 training data, all stages (Boshar et al. 2025)
1,824 Accelerator time (Training stage 'Post-training 1' (1.2T tokens))
hour · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

NTv3 650M training GPU-hours (Boshar et al. 2025 Table 5)

gfm-guide-20261014-protocol-ntv3-training-gpu-hours

Aggregation: Not reported

A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction (NTv3), bioRxiv v1 · Table 5 (page 34), row '650M', column 'Post-training 1'
Configuration: NTv3 650M training run (Boshar et al. 2025)Protocol: NTv3 H100 GPU-hours per training stage (Boshar et al. 2025 Table 5)
Dataset: NTv3 training data, all stages (Boshar et al. 2025)
192 Accelerator time (Training stage 'Post-training 2' (54B tokens))
hour · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

NTv3 650M training GPU-hours (Boshar et al. 2025 Table 5)

gfm-guide-20261014-protocol-ntv3-training-gpu-hours

Aggregation: Not reported

A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction (NTv3), bioRxiv v1 · Table 5 (page 34), row '650M', column 'Post-training 2'
Configuration: NTv3 650M training run (Boshar et al. 2025)Protocol: NTv3 H100 GPU-hours per training stage (Boshar et al. 2025 Table 5)
Dataset: NTv3 training data, all stages (Boshar et al. 2025)
6,736 Accelerator time (Training stage 'Pre-training 8 kb' (10.5T tokens))
hour · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

NTv3 650M training GPU-hours (Boshar et al. 2025 Table 5)

gfm-guide-20261014-protocol-ntv3-training-gpu-hours

Aggregation: Not reported

A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction (NTv3), bioRxiv v1 · Table 5 (page 34), row '650M', column 'Pre-training 8 kb'
Configuration: NTv3 8M training run (Boshar et al. 2025)Protocol: NTv3 H100 GPU-hours per training stage (Boshar et al. 2025 Table 5)
Dataset: NTv3 training data, all stages (Boshar et al. 2025)
40 Accelerator time (Training stage 'Length ext. 1-4' (200B tokens))
hour · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

NTv3 8M training GPU-hours (Boshar et al. 2025 Table 5)

gfm-guide-20261014-protocol-ntv3-training-gpu-hours

Aggregation: Not reported

A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction (NTv3), bioRxiv v1 · Table 5 (page 34), row '8M', column 'Length ext. 1-4'
Configuration: NTv3 8M training run (Boshar et al. 2025)Protocol: NTv3 H100 GPU-hours per training stage (Boshar et al. 2025 Table 5)
Dataset: NTv3 training data, all stages (Boshar et al. 2025)
40 Accelerator time (Training stage 'Length ext. 5-7' (150B tokens))
hour · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

NTv3 8M training GPU-hours (Boshar et al. 2025 Table 5)

gfm-guide-20261014-protocol-ntv3-training-gpu-hours

Aggregation: Not reported

A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction (NTv3), bioRxiv v1 · Table 5 (page 34), row '8M', column 'Length ext. 5-7'
Configuration: NTv3 8M training run (Boshar et al. 2025)Protocol: NTv3 H100 GPU-hours per training stage (Boshar et al. 2025 Table 5)
Dataset: NTv3 training data, all stages (Boshar et al. 2025)
1,608 Accelerator time (Training stage 'Pre-training 8 kb' (10.5T tokens))
hour · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

NTv3 8M training GPU-hours (Boshar et al. 2025 Table 5)

gfm-guide-20261014-protocol-ntv3-training-gpu-hours

Aggregation: Not reported

A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction (NTv3), bioRxiv v1 · Table 5 (page 34), row '8M', column 'Pre-training 8 kb'

Source checking is not independent reproduction. Release 2026-10-22-1b7cf027e4f6.

Methods and evaluation design

Procedure, tasks and evaluated configurations

Recorded evaluations

Each evaluation records what was tested and under which conditions.

Baseline coverage

Reference methods help show what a model adds beyond simple controls. We track a null control and a conventional method for each protocol.

0 of 2 active baseline roles have published Rewire measurements in this release. Measurements on a selected protocol do not establish coverage of an entire suite.

No execution recipe linked to this protocol. Recipe availability does not establish a completed evaluation.

Author-reported evaluations
3

Literature evidence is not a Rewire measurement. Executed but unpublished runs and private review status are not included.

Null control

Proposed control: requires review

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Select an upstream conventional reference after reviewing the full protocol

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Protocol coverage CSV (gzip) · Model evaluation matrix (gzip) · Source table (gzip) · Release and checksums (gzip)

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Evidence

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Evidence table

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Claims, original sources and review scope · Release 2026-10-22-1b7cf027e4f6
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Sources and history

Release 2026-10-22-1b7cf027e4f6 · Record review: source checked

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Technical metadata and extraction receipts

Stable ID: gfm-guide-20261014-protocol-ntv3-training-gpu-hours

areas
dna-genomes
contexts
research
protocol
Accelerator time per training stage on the authors' infrastructure (8 × H100 80GB nodes, NVLink, RoCE), as printed in Table 5.
version
bioRxiv v1 Table 5
metric
accelerator-time
limitations
Developer-reported.; The text says models were trained on either Cloud TPU v6 or on-premise H100s; Table 5 gives H100 GPU-hours for every stage without saying whether TPU runs were converted.; Post-training stages are not applicable to the 8M model (printed NA).
source locator
Table 5 and section 4.4.4 'Training Infrastructure' (page 34)
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