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GPU Per Hour
FastGPU
GPUniq
Coreframe Cloud
AskGPU
Paperspace
GPU rental by the minute plus an OpenAI-compatible AI API, on one prepaid balance. Independent service.

Which is more popular?
Based on our record, Hunter.io seems to be more popular. It has been mentioned 155 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | cloudgpu.app | hunter.io |
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| Company | — | Startup from France |
| Listed in |
In their own words, as submitted to SaaSHub.


On-demand GPU rental for AI workloads, billed by the minute: RTX 4090 48G, RTX 5090, A100 80G and more, with root SSH, Jupyter and ready templates for ComfyUI and LLM training or inference. Pay by card or USDT.
No description of Hunter.io yet.
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


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Share your experience with using CloudGPU.app and Hunter.io. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


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Hunter, Lusha, and LeadIQ all have free plans. Among paid plans on monthly billing, LeadIQ Pro starts at $20 a month for up to 5 users, and Hunter Starter starts at €49 a month.The cheapest option depends on whether...
Hunter, on the other hand, is built around email discovery, verification, and cold email sequencing. It doesn’t automate LinkedIn actions, but instead helps you find and validate professional email addresses and run...
I tested the waterfall enrichment to understand how it works. Clay pulls the data you need from over 100 sources. Say you want to find your prospect’s valid email address, Clay scans various sources like Hunter,...
Recommendations tracked on public social media and blogs since March 2021.


Tracking CloudGPU.app since Sep 2026.
A few things worth flagging: PDL beats Clearbit's historical rates for US and Western European companies, but drops to ~52% match rate for Japan and South Korea specifically. Apollo underperforms on raw company matching but returns... - Source: dev.to / 6 months ago
The real conclusion I'd push back on from every vendor comparison I've read: there is no single tool that solves reverse lookup at 80%+ accuracy with clean data. The waterfall is the answer. The question is whether you build it yourself... - Source: dev.to / 6 months ago
Last year I ran the same LinkedIn Sales Navigator export through three enrichment APIs. Apollo matched 61% of the emails. Hunter.io matched 54%. An OSINT-first pipeline I'd built in n8n — pulling from public sources before hitting any... - Source: dev.to / 7 months ago
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