GMI Cloud
Runs AI model inference and agents on serverless or dedicated GPU infrastructure with automatic scaling.
≈ 19.7kvisits/mo
Established · estimate, read 2026-09-19
- For
- AI teams and enterprises running inference and training workloads on dedicated GPU infrastructure
- Price
- From $2 per usepricing page, read 2026-09-20
- Activity
- Actively maintainednothing dated on the site
- Company
- founding year not on record
- Runs as
- API
- run large language models and multimodal inference at scale
- train and fine-tune foundational models on dedicated GPUs
- scale from serverless inference to dedicated GPU clusters
- #4
Notion
Workspace for documents, projects, and databases with AI agents to automate tasks and summarize information.
1.1MActiveFrom $10/user/mo2016 - #11
Pylon
Deploys AI agents to handle customer support investigations and routing across multiple channels.
44kActiveContact sales - #13
n8n
Builds and deploys automation workflows combining visual and code interfaces with AI agent capabilities and 500+ integrations.
144knot readFrom $20/mo2019 - #14
LobeHub
Organizes and operates multiple AI agents 24/7, handling task scheduling and reporting through your existing chat tools.
51.4kActiveFrom $9.90/mo - #15
Scribe
Captures and documents workflows automatically to create process guides and train AI agents.
138kActiveFrom $13/user/mo - #18
Workato
Connects applications and data, orchestrates workflows and agents, and governs enterprise AI actions across systems.
38knot readContact sales
What is GMI Cloud?
Runs AI model inference and agents on serverless or dedicated GPU infrastructure with automatic scaling.
Who is GMI Cloud for?
AI teams and enterprises running inference and training workloads on dedicated GPU infrastructure
How much does GMI Cloud cost?
Paid plans start at $2 per use, per GMI Cloud's pricing page on 2026-09-20.
Do people use GMI Cloud?
Established: ≈ 19.7k visits a month · estimate, 2026-09.
Is GMI Cloud still maintained?
Actively maintained.
What are alternatives to GMI Cloud?
In Automation, by use: Notion, Pylon, n8n, LobeHub, Scribe, Workato.
How we read a tool
No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.
- Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
- Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
- Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
- The line and the use cases are written by us from the homepage, one row at a time, and refused when they repeat the vendor's marketing.
How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.