GPUPerHour records 28,718 monthly visits with +25.3% month-over-month growth and Free pricing. Invisible Technologies records 1,364,520 monthly visits with +64.4% growth and Contact for Pricing pricing.
Live cloud GPU price comparison across 31 providers
Enterprise AI infrastructure where software and expert humans work together
| Dimension / Metric | | |
|---|---|---|
| Official Domain | gpuperhour.com | inv.tech |
| Pricing Model | Free | Contact for Pricing |
| Monthly Visits | 28.72K (28,718) | 1.36M (1,364,520) |
| MoM Traffic Delta | +5.8K (+25.3%) | +534.28K (+64.4%) |
| Primary Market & Share | 🇺🇸 United States (24.9%) | 🇺🇸 United States (17.8%) |
| Direct Visits / mo | 11.4K | 877.84K |
| User Rating | 4.4 | 4.6 |
| Supported Platforms | Website | Website |
Live cloud GPU price comparison across 31 providers
Every tracked offer is normalised to a price per GPU-hour and shown with its provider, pricing type and security tier.
A market snapshot highlights the lowest current secure on-demand price for each popular GPU model, from H100 and H200 to RTX 4090.
Historical catalog averages and downloadable daily data let you see how pricing for a given GPU has moved over the last 30 days.
Practical articles cover comparing like-for-like GPUs, choosing by VRAM, estimating the full bill with storage and egress, and renting by the hour.
Enterprise AI infrastructure where software and expert humans work together
Produces research-grade datasets, including multilingual and domain-specific evaluation data, backed by a large vetted expert network.
Runs AI systems through realistic task scenarios with custom criteria covering accuracy, safety, tone and domain fit, comparing models side by side.
Builds governed agents that handle multi-step work, use tools and write code, with versioning, per-customer separation and full audit trails.
Maps how work actually flows through an organisation, then automates steps gradually, routing to AI or humans as needed.
Automates enterprise workflows with autonomous agents, but focuses primarily on CRM integration rather than custom operations.
Automates enterprise workflows with autonomous agents, but focuses primarily on CRM integration rather than custom operations.
Delivers enterprise machine learning and autonomous agents, but lacks a dedicated human expert network for custom operations.
Delivers enterprise machine learning and autonomous agents, but lacks a dedicated human expert network for custom operations.
Provides structured data labeling and agent workflows, but lacks Invisible's dedicated white-glove human operations workforce.
Provides structured data labeling and agent workflows, but lacks Invisible's dedicated white-glove human operations workforce.
Strong human-in-the-loop data annotation and validation services, but offers less customizable end-to-end autonomous agent software.
Builds collaborative team knowledge agents, but lacks the deep human-in-the-loop operational outsourcing provided by Invisible.
Builds collaborative team knowledge agents, but lacks the deep human-in-the-loop operational outsourcing provided by Invisible.
Free / Open-sourceDiscover and share Model Context Protocol servers for AI agents and coding tools
Free / Open-sourceDiscover and share Model Context Protocol servers for AI agents and coding tools
SpecialistAgent observability, evaluation, and continuous improvement for production AI
SpecialistAgent observability, evaluation, and continuous improvement for production AI
AI 工具目录、深度评测与每日 AI 新闻
Free / Open-sourceOpen-source database of AI models, prices and capabilities
Free / Open-sourceOpen-source database of AI models, prices and capabilities
Combines agentic workflows and custom language models for content, but lacks generalized enterprise operational workflow outsourcing.
Free / Open-sourceSelf-driving agent platform you run in your own cloud
Free / Open-sourceOpen-source platform for data labeling and evaluation, but requires self-hosting and managing your own labeling workforce.
Free / Open-sourceOpen-source platform for data labeling and evaluation, but requires self-hosting and managing your own labeling workforce.
