Comparison
TransformerEngine vs oumi
Verdict
Pick TransformerEngine if transformerEngine optimizes Transformer model performance with FP8/FP4 precision on NVIDIA GPUs like Hopper, Ada, and Blackwell, boosting throughput and reducing memory usage; pick oumi if oumi is a tool for fine-tuning, evaluating, and deploying open-source large language models (LLMs) such as Gemma 4, Qwen3.5, Qwen3.6, gpt-oss, DeepSeek-R1, among others.
Markdown twin · TransformerEngine alternatives · oumi alternatives
GraphCanon updated Sep 20, 2026
11views this month
vs
Trust & integrity
| Signal | TransformerEngine | oumi |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 7, 2026 · github_public_v1 | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 7, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- TransformerEngine
- A library for accelerating Transformer models on NVIDIA GPUs using low precision formats like FP8 and FP4.
- oumi
- Easily fine-tune, evaluate and deploy open source LLMs/VLMs
Stars
- TransformerEngine
- 3.5k
- oumi
- 9.4k
Forks
- TransformerEngine
- 819
- oumi
- 790
Open issues
- TransformerEngine
- 343
- oumi
- 34
Language
- TransformerEngine
- Python
- oumi
- Python
Adopt for
- TransformerEngine
- TransformerEngine optimizes Transformer model performance with FP8/FP4 precision on NVIDIA GPUs like Hopper, Ada, and Blackwell, boosting throughput and reducing memory usage.
- oumi
- Oumi is a tool for fine-tuning, evaluating, and deploying open-source large language models (LLMs) such as Gemma 4, Qwen3.5, Qwen3.6, gpt-oss, DeepSeek-R1, among others.
Persona
- TransformerEngine
- -
- oumi
- -
Runtime
- TransformerEngine
- -
- oumi
- -
License
- TransformerEngine
- Apache-2.0
- oumi
- Oumi is released under Apache-2.0 license, providing users with a permissive free software license that includes the terms of the MIT License while also addressing patent liability issues.
Last pushed
- TransformerEngine
- Sep 5, 2026
- oumi
- Sep 20, 2026
Categories
- TransformerEngine
- Inference & Serving, Model Training
- oumi
- Evaluation & Observability, Inference & Serving, Model Training
Trust and health
Days since push
- TransformerEngine
- 1d
- oumi
- 0d
Open issues (now)
- TransformerEngine
- 343
- oumi
- 34
Stars delta
- TransformerEngine
- +45 (30d)
- oumi
- +28 (30d)
Open issues delta
- TransformerEngine
- +33 (30d)
- oumi
- +3 (30d)
Full report
- TransformerEngine
- Trust report
- oumi
- Trust report
Choose TransformerEngine if…
- Tags unique to TransformerEngine: cuda, deep-learning, fp4, fp8.
- If you need high-throughput training or inference of Transformer models specifically on compatible NVIDIA GPUs (Hopper, Ada, Blackwell).
When NOT to use TransformerEngine
- Avoid if your project is not running on NVIDIA's Hopper, Ada, or Blackwell GPUs.
- If memory usage isn't a critical concern and you prefer higher precision over speed optimization.
Choose oumi if…
- Requirements: Requires Docker; Docker is used for standardized and portable environment deployments..
- Tags unique to oumi: dpo, evaluation, fine-tuning, llms.
- Also covers Evaluation & Observability.
- - You are working specifically with one of the supported open-source LLMs including Gemma 4 or Qwen variants.
When NOT to use oumi
- - If your focus is on proprietary models rather than open-source ones, Oumi may not offer the necessary support or integrations.
- - You require deployment flexibility beyond what Oumi provides for less commonly supported open-source LLMs outside its primary focus (e.g., Gemma 4, Qwen series).
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (NVIDIA/TransformerEngine) · observed Sep 20, 2026
- GitHub forks (NVIDIA/TransformerEngine) · observed Sep 20, 2026
- Last push (NVIDIA/TransformerEngine) · observed Sep 5, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (oumi-ai/oumi) · observed Sep 20, 2026
- GitHub forks (oumi-ai/oumi) · observed Sep 20, 2026
- Last push (oumi-ai/oumi) · observed Sep 20, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: TransformerEngine 3.5k · oumi 9.4k (synced Sep 20, 2026).
Common questions
- What is the difference between TransformerEngine and oumi?
- TransformerEngine: A library for accelerating Transformer models on NVIDIA GPUs using low precision formats like FP8 and FP4.. oumi: Easily fine-tune, evaluate and deploy open source LLMs/VLMs. See the comparison table for live GitHub stats and shared categories.
- When should I choose TransformerEngine over oumi?
- Choose TransformerEngine over oumi when Tags unique to TransformerEngine: cuda, deep-learning, fp4, fp8; If you need high-throughput training or inference of Transformer models specifically on compatible NVIDIA GPUs (Hopper, Ada, Blackwell).
- When should I choose oumi over TransformerEngine?
- Choose oumi over TransformerEngine when Requirements: Requires Docker; Docker is used for standardized and portable environment deployments.; Tags unique to oumi: dpo, evaluation, fine-tuning, llms; Also covers Evaluation & Observability; - You are working specifically with one of the supported open-source LLMs including Gemma 4 or Qwen variants.
- When should I avoid TransformerEngine?
- Avoid if your project is not running on NVIDIA's Hopper, Ada, or Blackwell GPUs. If memory usage isn't a critical concern and you prefer higher precision over speed optimization.
- When should I avoid oumi?
- - If your focus is on proprietary models rather than open-source ones, Oumi may not offer the necessary support or integrations. - You require deployment flexibility beyond what Oumi provides for less commonly supported open-source LLMs outside its primary focus (e.g., Gemma 4, Qwen series).
- Is TransformerEngine or oumi more popular on GitHub?
- oumi has more GitHub stars (9,387 vs 3,524). Stars measure visibility, not whether either tool fits your constraints.
- Are TransformerEngine and oumi open source?
- Yes - both are open-source projects on GitHub (TransformerEngine: Apache-2.0, oumi: Apache-2.0).
- Where can I find alternatives to TransformerEngine or oumi?
- GraphCanon lists graph-backed alternatives at TransformerEngine alternatives and oumi alternatives (TransformerEngine markdown twin, oumi markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, TransformerEngine or oumi?
- TransformerEngine: Very active. oumi: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for TransformerEngine and oumi?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: TransformerEngine trust report; oumi trust report.