inferact.ai valid

Inferact

Inferact is production LLM inference you control, built by the creators of vLLM. Deploy open-weight models on your own GPUs or on Inferact's infrastructure, with production-grade performance either way.

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For agents: Inferact offers production LLM inference, built by the creators of vLLM, to deploy open-weight models on your own GPUs or on its hosted infrastructure.

llm inference vllm open-weight models gpu deployment model serving

Authority: 47 reach 5 · trust 8 · quality 19 · freshness 15
Tier: listed
llms.txt: https://inferact.ai/llms.txt
Sections: 2
Links: 3
Size: 863 bytes
Popularity rank: #830114
Registered: 2025-10-20
Country: United States Hosting inference
Hosting country: United States Hosting inference
Country evidence: No published address evidence collected yet
Categories: AI and machine learning · Infrastructure
For agents: Documentation: developer or product docs worth reading, nothing to call
Inferred actions: Read documentation About these labels
Audience: business · agents can: read docs · en
First seen: 2026-10-25T18:02:30.196Z
Last checked: 2026-10-27T11:56:20.581Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-26T03:48:21.911Z. Cached copy · Source on inferact.ai

# Inferact

> Inferact is production LLM inference you control, built by the creators of vLLM. Deploy open-weight models on your own GPUs or on Inferact's infrastructure, with production-grade performance either way.

- Open roles are loaded from Ashby at runtime and are not present in the careers page HTML. Fetch the careers page with JavaScript enabled, or query Ashby directly, to see current listings.

## Product

- [Inferact](https://inferact.ai/): what Inferact is, who builds it, and how deployment on your own GPUs compares to running on Inferact's infrastructure

## Company

- [Careers](https://inferact.ai/careers): open roles across San Francisco, Singapore, and remote, with how the team works and what it is building
- [News](https://inferact.ai/news): product launches, engineering deep dives on LLM inference, partnerships, and company updates

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