SGLang VS Triton Inference Server
As of 30 October 2026, Triton Inference Server is named by 123 companies and SGLang by 180; SGLang skews to companies under 200 people (54% vs 51%), Triton Inference Server to companies over 1,000 (25% vs 17%).
As of 30 October 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, Triton Inference Server rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- SGLang: 2–200 employees
- 54%
- Triton Inference Server: 2–200 employees
- 51%
- SGLang: 1,000+ employees
- 17%
- Triton Inference Server: 1,000+ employees
- 25%
- Postings per company, 90 days
- 3.6 · 2.2
- 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 | Triton Inference Server | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 17 | 9% | 1 | 1% | SGLang |
| 2-10 employees | 49 | 27% | 9 | 7% | SGLang |
| 11-50 employees | 24 | 13% | 17 | 14% | even |
| 51-200 employees | 25 | 14% | 37 | 30% | Triton Inference Server |
| 201-500 employees | 21 | 12% | 18 | 15% | Triton Inference Server |
| 501-1000 employees | 14 | 8% | 10 | 8% | even |
| 1001-5000 employees | 14 | 8% | 16 | 13% | Triton Inference Server |
| 5001-10000 employees | 5 | 3% | 8 | 7% | Triton Inference Server |
| 10,001+ employees | 11 | 6% | 7 | 6% | even |
| Segment | SGLang | share | Triton Inference Server | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 126 | 70% | 79 | 64% | SGLang |
| Business & finance services | 15 | 8% | 15 | 12% | Triton Inference Server |
| Manufacturing & industry | 14 | 8% | 8 | 7% | even |
| Public, community & associations | 9 | 5% | 6 | 5% | even |
| Media & content | 5 | 3% | 5 | 4% | even |
| Consumer services & leisure | 3 | 2% | 3 | 2% | even |
| Utilities & infrastructure | 3 | 2% | 3 | 2% | even |
| Automotive | 2 | 1% | – | – | outside top 12 |
| Commerce & trade | 1 | 1% | 2 | 2% | even |
| Health care | 1 | 1% | – | – | outside top 12 |
| Property & construction | 1 | 1% | – | – | outside top 12 |
| Transport, logistics & rental | – | – | 2 | 2% | outside top 12 |
| Segment | SGLang | share | Triton Inference Server | share | Leans |
|---|---|---|---|---|---|
| United States | 133 | 74% | 85 | 69% | SGLang |
| United Kingdom | 16 | 9% | 9 | 7% | even |
| Australia | 4 | 2% | 3 | 2% | even |
| South Korea | 4 | 2% | 3 | 2% | even |
| Singapore | 4 | 2% | 2 | 2% | even |
| India | 3 | 2% | 3 | 2% | even |
| Switzerland | 2 | 1% | – | – | outside top 12 |
| Germany | 2 | 1% | 2 | 2% | even |
| Spain | 2 | 1% | – | – | outside top 12 |
| United Arab Emirates | 1 | 1% | – | – | outside top 12 |
| Brazil | 1 | 1% | – | – | outside top 12 |
| Canada | 1 | 1% | 2 | 2% | even |
| Poland | – | – | 3 | 2% | outside top 12 |
| France | – | – | 2 | 2% | outside top 12 |
| Netherlands | – | – | 2 | 2% | outside top 12 |
| Cyprus | – | – | 1 | 1% | outside top 12 |
| Segment | SGLang | share | Triton Inference Server | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 454 | 52% | 215 | 57% | Triton Inference Server |
| Software engineering | 202 | 23% | 64 | 17% | SGLang |
| Product, program & project management | 28 | 3% | 6 | 2% | even |
| Engineering (non-software) | 13 | 1% | – | – | outside top 12 |
| IT operations & business systems | 13 | 1% | 11 | 3% | even |
| Sales | 12 | 1% | 2 | 1% | even |
| Marketing & communications | 11 | 1% | – | – | outside top 12 |
| Research and science | 5 | 1% | – | – | outside top 12 |
| Business development & strategy | 1 | 0% | 3 | 1% | even |
| General management & consulting | 1 | 0% | 3 | 1% | even |
| Customer service & success | – | – | 1 | 0% | outside top 12 |
| Unclassified | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using SGLang →
Companies using Triton Inference Server →
model serving gateways ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Triton Inference Server is named by 123 companies in job postings and SGLang by 180; 41 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/sglang-vs-triton-inference-server)
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 Triton Inference Server: questions
Which is more used, SGLang or Triton Inference Server?
By companies naming it in their own job postings, SGLang (180) over Triton Inference Server (123). By website-and-DNS footprint, Triton Inference Server (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 51% for Triton Inference Server. 17% of SGLang companies have over 1,000 employees, against 25% for Triton Inference Server.
Do companies run both?
41 companies name both in their postings, usually SGLang in marketing and Triton Inference Server 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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