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Fleetora · first roles in DEHugging Face VS TensorRT-LLM_
As of 4 November 2026, TensorRT-LLM is named by 208 companies and Hugging Face by 1,207; Hugging Face skews to companies under 200 people (46% vs 56%), TensorRT-LLM to companies over 1,000 (20% vs 30%).
As of 4 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
The website-and-DNS footprint is not comparable between a marketing suite and a CRM: Hugging Face's script and mail records show on hundreds of thousands of small sites, TensorRT-LLM rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Hugging Face: 2–200 employees
- 46%
- TensorRT-LLM: 2–200 employees
- 56%
- Hugging Face: 1,000+ employees
- 30%
- TensorRT-LLM: 1,000+ employees
- 20%
- Postings per company, 90 days
- 2.8 · 3.7
- Website or DNS footprint
- 0 · 0
Who chooses which
Share of each tool's companies in every segment. "Leans" marks a gap of more than two points.
| Segment | Hugging Face | share | TensorRT-LLM | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 61 | 5% | 15 | 7% | TensorRT-LLM |
| 2-10 employees | 157 | 13% | 44 | 21% | TensorRT-LLM |
| 11-50 employees | 182 | 15% | 37 | 18% | TensorRT-LLM |
| 51-200 employees | 219 | 18% | 35 | 17% | even |
| 201-500 employees | 121 | 10% | 19 | 9% | even |
| 501-1000 employees | 100 | 8% | 16 | 8% | even |
| 1001-5000 employees | 166 | 14% | 18 | 9% | Hugging Face |
| 5001-10000 employees | 55 | 5% | 6 | 3% | even |
| 10,001+ employees | 146 | 12% | 18 | 9% | Hugging Face |
| Segment | Hugging Face | share | TensorRT-LLM | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 676 | 56% | 140 | 67% | TensorRT-LLM |
| Business & finance services | 209 | 17% | 19 | 9% | Hugging Face |
| Manufacturing & industry | 85 | 7% | 16 | 8% | even |
| Public, community & associations | 49 | 4% | 9 | 4% | even |
| Media & content | 48 | 4% | 12 | 6% | even |
| Consumer services & leisure | 45 | 4% | 2 | 1% | Hugging Face |
| Commerce & trade | 22 | 2% | 3 | 1% | even |
| Utilities & infrastructure | 18 | 1% | 3 | 1% | even |
| Health care | 17 | 1% | – | – | outside top 12 |
| Automotive | 16 | 1% | 2 | 1% | even |
| Transport, logistics & rental | 11 | 1% | 1 | 0% | even |
| Property & construction | 5 | 0% | 1 | 0% | even |
| Segment | Hugging Face | share | TensorRT-LLM | share | Leans |
|---|---|---|---|---|---|
| United States | 743 | 62% | 152 | 73% | TensorRT-LLM |
| United Kingdom | 76 | 6% | 15 | 7% | even |
| India | 61 | 5% | 6 | 3% | Hugging Face |
| Germany | 52 | 4% | 3 | 1% | Hugging Face |
| France | 44 | 4% | – | – | outside top 12 |
| Canada | 27 | 2% | 2 | 1% | even |
| Switzerland | 14 | 1% | 1 | 0% | even |
| Singapore | 13 | 1% | 2 | 1% | even |
| Italy | 10 | 1% | – | – | outside top 12 |
| Netherlands | 8 | 1% | – | – | outside top 12 |
| United Arab Emirates | 7 | 1% | – | – | outside top 12 |
| Australia | 7 | 1% | 2 | 1% | even |
| South Korea | – | – | 4 | 2% | outside top 12 |
| Brazil | – | – | 2 | 1% | outside top 12 |
| Spain | – | – | 2 | 1% | outside top 12 |
| Belgium | – | – | 1 | 0% | outside top 12 |
| Segment | Hugging Face | share | TensorRT-LLM | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 2,837 | 66% | 482 | 51% | Hugging Face |
| Software engineering | 525 | 12% | 150 | 16% | TensorRT-LLM |
| IT operations & business systems | 128 | 3% | 28 | 3% | even |
| Marketing & communications | 80 | 2% | 8 | 1% | even |
| Product, program & project management | 76 | 2% | 29 | 3% | even |
| Sales | 63 | 1% | 36 | 4% | TensorRT-LLM |
| General management & consulting | 41 | 1% | 2 | 0% | even |
| Engineering (non-software) | 40 | 1% | 14 | 1% | even |
| research and science | 25 | 1% | 1 | 0% | even |
| Unclassified | 17 | 0% | – | – | outside top 12 |
| Education & training | 16 | 0% | – | – | outside top 12 |
| Legal, compliance & risk | 15 | 0% | – | – | outside top 12 |
| Customer service & success | 13 | 0% | – | – | outside top 12 |
| Design & UX | 10 | 0% | – | – | outside top 12 |
| Human resources | 6 | 0% | – | – | outside top 12 |
| Finance & accounting | 5 | 0% | – | – | outside top 12 |
| Administration & office | 2 | 0% | – | – | outside top 12 |
| arts media and entertainment | 2 | 0% | – | – | outside top 12 |
| Quality, safety & environment | 2 | 0% | – | – | outside top 12 |
| Business development & strategy | 1 | 0% | 6 | 1% | even |
| healthcare clinical | 1 | 0% | – | – | outside top 12 |
The companies behind each column
Companies using Hugging Face →
Companies using TensorRT-LLM →
model serving gateways ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
TensorRT-LLM is named by 208 companies in job postings and Hugging Face by 1,207; 0 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/hugging-face-vs-tensorrt-llm)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- Job postingsRead hourly from career sites. A tool counts when the employer's own text names it as the team's system; both tools can count for one company.
- Website and DNSScripts and embeds on the company's pages, plus SPF, DKIM, MX and CNAME records of its domain that point at the vendor.
- SegmentsCountry, size and industry from the company profile built from its website.
- Not a reviewNo ratings, prices or feature claims. For those, read the vendors.
Hugging Face vs TensorRT-LLM: questions
Which is more used, Hugging Face or TensorRT-LLM?
By companies naming it in their own job postings, Hugging Face (1,207) over TensorRT-LLM (208). By website-and-DNS footprint, TensorRT-LLM (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Hugging Face?
46% of Hugging Face companies have 2 to 200 employees, against 56% for TensorRT-LLM. 30% of Hugging Face companies have over 1,000 employees, against 20% for TensorRT-LLM.
Do companies run both?
0 companies name both in their postings, usually Hugging Face in marketing and TensorRT-LLM in sales, or during a migration.
Where do these numbers come from?
From the employer's own text in job postings read hourly from career sites, and from scripts found on company websites in our crawl. No vendor data, no surveys.
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