Text Generation Inference VS vLLM
As of 30 October 2026, vLLM is named by 582 companies and Text Generation Inference by 108; Text Generation Inference skews to companies under 200 people (50% vs 56%), vLLM to companies over 1,000 (21% vs 25%).
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: Text Generation Inference's script and mail records show on hundreds of thousands of small sites, vLLM rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Text Generation Inference: 2–200 employees
- 50%
- vLLM: 2–200 employees
- 56%
- Text Generation Inference: 1,000+ employees
- 25%
- vLLM: 1,000+ employees
- 21%
- 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 | Text Generation Inference | share | vLLM | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 2 | 2% | 22 | 4% | even |
| 2-10 employees | 14 | 13% | 108 | 19% | vLLM |
| 11-50 employees | 19 | 18% | 104 | 18% | even |
| 51-200 employees | 21 | 19% | 115 | 20% | even |
| 201-500 employees | 17 | 16% | 61 | 10% | Text Generation Inference |
| 501-1000 employees | 8 | 7% | 50 | 9% | even |
| 1001-5000 employees | 13 | 12% | 67 | 12% | even |
| 5001-10000 employees | 7 | 6% | 17 | 3% | Text Generation Inference |
| 10,001+ employees | 7 | 6% | 38 | 7% | even |
| Segment | Text Generation Inference | share | vLLM | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 67 | 62% | 377 | 65% | vLLM |
| Business & finance services | 14 | 13% | 71 | 12% | even |
| Manufacturing & industry | 11 | 10% | 38 | 7% | Text Generation Inference |
| Public, community & associations | 5 | 5% | 32 | 5% | even |
| Consumer services & leisure | 3 | 3% | 10 | 2% | even |
| Media & content | 3 | 3% | 23 | 4% | even |
| Utilities & infrastructure | 2 | 2% | 11 | 2% | even |
| Health care | 1 | 1% | 6 | 1% | even |
| Property & construction | 1 | 1% | 2 | 0% | even |
| Transport, logistics & rental | 1 | 1% | – | – | outside top 12 |
| Commerce & trade | – | – | 7 | 1% | outside top 12 |
| Hospitality & travel | – | – | 3 | 1% | outside top 12 |
| Automotive | – | – | 2 | 0% | outside top 12 |
| Segment | Text Generation Inference | share | vLLM | share | Leans |
|---|---|---|---|---|---|
| United States | 70 | 65% | 391 | 67% | vLLM |
| United Kingdom | 12 | 11% | 42 | 7% | Text Generation Inference |
| Brazil | 4 | 4% | 5 | 1% | Text Generation Inference |
| India | 3 | 3% | 16 | 3% | even |
| Canada | 2 | 2% | 6 | 1% | even |
| Spain | 2 | 2% | 7 | 1% | even |
| France | 2 | 2% | 8 | 1% | even |
| Singapore | 2 | 2% | 11 | 2% | even |
| United Arab Emirates | 1 | 1% | – | – | outside top 12 |
| Australia | 1 | 1% | 6 | 1% | even |
| Switzerland | 1 | 1% | 10 | 2% | even |
| Cyprus | 1 | 1% | – | – | outside top 12 |
| Germany | – | – | 19 | 3% | outside top 12 |
| South Korea | – | – | 5 | 1% | outside top 12 |
| Segment | Text Generation Inference | share | vLLM | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 216 | 55% | 1,445 | 53% | even |
| Software engineering | 65 | 17% | 615 | 23% | vLLM |
| Marketing & communications | 36 | 9% | 17 | 1% | Text Generation Inference |
| Manufacturing and production | 10 | 3% | – | – | outside top 12 |
| Sales | 9 | 2% | 41 | 2% | even |
| Engineering (non-software) | 4 | 1% | 39 | 1% | even |
| Business development & strategy | 3 | 1% | – | – | outside top 12 |
| IT operations & business systems | 3 | 1% | 168 | 6% | vLLM |
| Customer service & success | 2 | 1% | – | – | outside top 12 |
| General management & consulting | 2 | 1% | – | – | outside top 12 |
| Human resources | 1 | 0% | 3 | 0% | even |
| Product, program & project management | 1 | 0% | 72 | 3% | vLLM |
| Research and science | – | – | 10 | 0% | outside top 12 |
| Logistics warehouse and transport | – | – | 6 | 0% | outside top 12 |
| Finance & accounting | – | – | 4 | 0% | outside top 12 |
| Unclassified | – | – | 3 | 0% | outside top 12 |
The companies behind each column
Companies using Text Generation Inference →
Companies using vLLM →
model serving gateways ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
vLLM is named by 582 companies in job postings and Text Generation Inference by 108; 212 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/text-generation-inference-vs-vllm)
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.
Text Generation Inference vs vLLM: questions
Which is more used, Text Generation Inference or vLLM?
By companies naming it in their own job postings, vLLM (582) over Text Generation Inference (108). By website-and-DNS footprint, vLLM (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Text Generation Inference?
50% of Text Generation Inference companies have 2 to 200 employees, against 56% for vLLM. 25% of Text Generation Inference companies have over 1,000 employees, against 21% for vLLM.
Do companies run both?
212 companies name both in their postings, usually Text Generation Inference in marketing and vLLM 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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