Shipvane · 4 AE roles
Marco E. · joined Cargolio
Fleetora · first roles in DESGLang VS TensorRT_
As of 4 November 2026, TensorRT is named by 540 companies and SGLang by 248; SGLang skews to companies under 200 people (54% vs 56%), TensorRT to companies over 1,000 (21% vs 20%).
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: SGLang's script and mail records show on hundreds of thousands of small sites, TensorRT rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- SGLang: 2–200 employees
- 54%
- TensorRT: 2–200 employees
- 56%
- SGLang: 1,000+ employees
- 20%
- TensorRT: 1,000+ employees
- 21%
- Postings per company, 90 days
- 3.5 · 2.1
- 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 | SGLang | share | TensorRT | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 26 | 10% | 33 | 6% | SGLang |
| 2-10 employees | 69 | 28% | 107 | 20% | SGLang |
| 11-50 employees | 31 | 13% | 101 | 19% | TensorRT |
| 51-200 employees | 34 | 14% | 94 | 17% | TensorRT |
| 201-500 employees | 24 | 10% | 49 | 9% | even |
| 501-1000 employees | 14 | 6% | 40 | 7% | even |
| 1001-5000 employees | 21 | 8% | 57 | 11% | TensorRT |
| 5001-10000 employees | 9 | 4% | 14 | 3% | even |
| 10,001+ employees | 20 | 8% | 45 | 8% | even |
| Segment | SGLang | share | TensorRT | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 163 | 66% | 250 | 46% | SGLang |
| Business & finance services | 25 | 10% | 41 | 8% | SGLang |
| Manufacturing & industry | 22 | 9% | 159 | 29% | TensorRT |
| Public, community & associations | 12 | 5% | 15 | 3% | SGLang |
| Media & content | 9 | 4% | 13 | 2% | even |
| Utilities & infrastructure | 5 | 2% | 6 | 1% | even |
| Automotive | 3 | 1% | 19 | 4% | TensorRT |
| Commerce & trade | 3 | 1% | 8 | 1% | even |
| Consumer services & leisure | 3 | 1% | 12 | 2% | even |
| Health care | 2 | 1% | 4 | 1% | even |
| Property & construction | 1 | 0% | 5 | 1% | even |
| Transport, logistics & rental | – | – | 6 | 1% | outside top 12 |
| Segment | SGLang | share | TensorRT | share | Leans |
|---|---|---|---|---|---|
| United States | 177 | 71% | 359 | 66% | SGLang |
| United Kingdom | 17 | 7% | 27 | 5% | even |
| South Korea | 5 | 2% | – | – | outside top 12 |
| Singapore | 5 | 2% | 9 | 2% | even |
| Australia | 4 | 2% | 7 | 1% | even |
| Switzerland | 4 | 2% | 4 | 1% | even |
| Germany | 4 | 2% | 21 | 4% | TensorRT |
| France | 3 | 1% | 6 | 1% | even |
| India | 3 | 1% | 22 | 4% | TensorRT |
| United Arab Emirates | 2 | 1% | 4 | 1% | even |
| Brazil | 2 | 1% | – | – | outside top 12 |
| Spain | 2 | 1% | 4 | 1% | even |
| Canada | – | – | 11 | 2% | outside top 12 |
| Japan | – | – | 4 | 1% | outside top 12 |
| Segment | SGLang | share | TensorRT | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 566 | 51% | 948 | 61% | TensorRT |
| Software engineering | 263 | 23% | 261 | 17% | SGLang |
| Product, program & project management | 36 | 3% | 16 | 1% | SGLang |
| Sales | 21 | 2% | 25 | 2% | even |
| IT operations & business systems | 19 | 2% | 21 | 1% | even |
| Marketing & communications | 17 | 2% | 3 | 0% | even |
| Engineering (non-software) | 16 | 1% | 33 | 2% | even |
| research and science | 5 | 0% | 5 | 0% | even |
| Business development & strategy | 1 | 0% | – | – | outside top 12 |
| General management & consulting | 1 | 0% | – | – | outside top 12 |
| Education & training | – | – | 9 | 1% | outside top 12 |
| Human resources | – | – | 2 | 0% | outside top 12 |
| Customer service & success | – | – | 1 | 0% | outside top 12 |
| Quality, safety & environment | – | – | 1 | 0% | outside top 12 |
| Unclassified | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using SGLang →
Companies using TensorRT →
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 is named by 540 companies in job postings and SGLang by 248; 47 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/sglang-vs-tensorrt)
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.
SGLang vs TensorRT: questions
Which is more used, SGLang or TensorRT?
By companies naming it in their own job postings, TensorRT (540) over SGLang (248). By website-and-DNS footprint, TensorRT (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses SGLang?
54% of SGLang companies have 2 to 200 employees, against 56% for TensorRT. 20% of SGLang companies have over 1,000 employees, against 21% for TensorRT.
Do companies run both?
47 companies name both in their postings, usually SGLang in marketing and TensorRT 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.
Get either list your way
The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
Every company on either tool,
with the person who owns it
Filter on SGLang or TensorRT, and get 1,000 records free.