Compare · model serving gateways

SGLang VS TensorRT-LLM_

As of 4 November 2026, TensorRT-LLM is named by 208 companies and SGLang by 248; SGLang skews to companies under 200 people (54% vs 56%), TensorRT-LLM to companies over 1,000 (20% 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-LLM 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-LLM: 2–200 employees
56%
SGLang: 1,000+ employees
20%
TensorRT-LLM: 1,000+ employees
20%
Postings per company, 90 days
3.5 · 3.7
Website or DNS footprint
0 · 0
248companies name SGLang
208companies name TensorRT-LLM
191name both
877 · 764postings in 90 days, SGLang · TensorRT-LLM
02 — Side by side

Who chooses which

Share of each tool's companies in every segment. "Leans" marks a gap of more than two points.

By company size
SegmentSGLangshareTensorRT-LLMshareLeans
Self-employed2610%157%SGLang
2-10 employees6928%4421%SGLang
11-50 employees3113%3718%TensorRT-LLM
51-200 employees3414%3517%TensorRT-LLM
201-500 employees2410%199%even
501-1000 employees146%168%TensorRT-LLM
1001-5000 employees218%189%even
5001-10000 employees94%63%even
10,001+ employees208%189%even
By industry
SegmentSGLangshareTensorRT-LLMshareLeans
Technology & software16366%14067%even
Business & finance services2510%199%even
Manufacturing & industry229%168%even
Public, community & associations125%94%even
Media & content94%126%TensorRT-LLM
Utilities & infrastructure52%31%even
Automotive31%21%even
Commerce & trade31%31%even
Consumer services & leisure31%21%even
Health care21%––outside top 12
Property & construction10%10%even
Transport, logistics & rental––10%outside top 12
By country
SegmentSGLangshareTensorRT-LLMshareLeans
United States17771%15273%even
United Kingdom177%157%even
South Korea52%42%even
Singapore52%21%even
Australia42%21%even
Switzerland42%10%even
Germany42%31%even
France31%––outside top 12
India31%63%even
United Arab Emirates21%––outside top 12
Brazil21%21%even
Spain21%21%even
Canada––21%outside top 12
Belgium––10%outside top 12
Postings by team (share of each tool's postings)
SegmentSGLangshareTensorRT-LLMshareLeans
Data & AI56651%48251%even
Software engineering26323%15016%SGLang
Product, program & project management363%293%even
Sales212%364%even
IT operations & business systems192%283%even
Marketing & communications172%81%even
Engineering (non-software)161%141%even
research and science50%10%even
Business development & strategy10%61%even
General management & consulting10%20%even
Cite this

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 SGLang by 248; 191 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/sglang-vs-tensorrt-llm)
How we know

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.
FAQ

SGLang vs TensorRT-LLM: questions

Which is more used, SGLang or TensorRT-LLM?

By companies naming it in their own job postings, SGLang (248) 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 SGLang?

54% of SGLang companies have 2 to 200 employees, against 56% for TensorRT-LLM. 20% of SGLang companies have over 1,000 employees, against 20% for TensorRT-LLM.

Do companies run both?

191 companies name both in their postings, usually SGLang 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.

Companies and people

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