# GPUPerHour vs LabLab.ai GPUPerHour records 28,718 monthly visits with +25.3% month-over-month growth and Free pricing. LabLab.ai records 431,529 monthly visits with -39.7% growth and Free pricing. | Metric | [GPUPerHour](https://openaitools.app/tool/gpuperhour) | [LabLab.ai](https://openaitools.app/tool/lablab-ai) | | :--- | :--- | :--- | | Website URL | https://gpuperhour.com | https://lablab.ai | | Categories | AI Developer Tools, AI Tools Directory | AI Developer Tools, AI Course, AI News | | Pricing Model | Free | Free | | Monthly Visits | 28,718 | 431,529 | | MoM Growth Rate | +25.3% | -39.7% | | Primary Market | United States | United States | | Direct Visits | 11,398 | 202,261 | | Review Score | 4.4 | 4.3 | | Saved Count | 4 | 10 | | Supported Platforms | Website | Website | ## GPUPerHour GPUPerHour solves a narrow but expensive problem: cloud GPU pricing is scattered across dozens of provider dashboards, in different units and with different availability. The site periodically scrapes the public pricing and inventory endpoints of 31 cloud GPU providers, normalises each listing to a price per GPU per hour (dividing a multi-GPU instance price by its GPU count) and tags it with its pricing type and security tier. The current-price summary deliberately uses only secure on-demand offers observed within roughly 15 minutes of the last refresh, excluding spot, reserved and peer-to-peer marketplace listings because those prices are not directly comparable. The result is a single live table covering H100 SXM5 and PCIe, H200, B200, B300, A100 80GB and 40GB, L40S, RTX PRO 6000, RTX 5090, RTX 4090 and RTX A6000, alongside the provider, a 30-day historical catalog average and the number of providers with stock. A daily price index with CSV downloads lets you track how pricing moves over time, while buying guides and hardware explainers cover practical topics such as comparing like-for-like GPUs, choosing by VRAM for a workload, accounting for storage and egress, and renting by the hour. The site also points to a companion console, DeployGPU, for provisioning on supported providers from one place. The key caveat is stated openly on the page: offer counts describe configurations, not the number of physical GPUs bookable, and availability can change before you complete a booking. Prices are per GPU-hour but providers bill for the whole instance, and storage, network transfer and commitment terms affect the final bill. GPUPerHour is a research and comparison layer, not a hosting provider itself. **Pricing & Plans:** Free to use as a price-comparison and research resource; GPUPerHour does not sell GPU capacity itself. The prices shown are third-party provider rates for secure on-demand instances, per GPU-hour, and a companion service (DeployGPU) offers deployment on supported providers. - **31-provider live price table:** Every tracked offer is normalised to a price per GPU-hour and shown with its provider, pricing type and security tier. - **Cheapest-offer summary:** A market snapshot highlights the lowest current secure on-demand price for each popular GPU model, from H100 and H200 to RTX 4090. - **Daily price index and CSV:** Historical catalog averages and downloadable daily data let you see how pricing for a given GPU has moved over the last 30 days. - **Buying guides and explainers:** Practical articles cover comparing like-for-like GPUs, choosing by VRAM, estimating the full bill with storage and egress, and renting by the hour. - **DeployGPU console:** A linked console lets you deploy on supported providers from a single place once you have picked an offer. **Strengths:** Aggregates 31 providers into comparable per-GPU-hour prices; Clearly states its methodology and excludes non-comparable spot and P2P listings; Free to use, with daily historical data and CSV downloads; Buying guides cover the full bill, not just the headline rate **Limitations:** Only covers providers whose pricing and inventory endpoints are publicly scrapable; The current-price view deliberately excludes spot and reserved capacity, which are often cheaper; It is a comparison resource, so you still create accounts and provision instances with the provider itself [Profile (Markdown)](https://openaitools.app/tool/gpuperhour.md) ## LabLab.ai LabLab is a community platform for people who build with AI, and its core activity is hackathons. Events are organized together with AI labs and technology vendors, which supply the models, APIs, infrastructure and prize budgets, while LabLab supplies the platform, mentors and streaming operations. Recent and recurring events have been run with sponsors such as AMD, IBM, Vultr, AssemblyAI and Kisaco Research, spanning topics from voice agents and AI trading agents to infrastructure-grade application builds and agentic coding. The structure of an event is consistent from the platform's side: an opening kick-off stream presents the technology and schedule, teams then build during a defined window, mentors are reachable on demand through Discord, and the event closes with streamed pitches where each team presents and takes questions from mentors and judges. Formats range from 48-hour sprints to month-long challenges, and events can be fully online, hybrid or on-site, for example an invited on-site phase at a venue like the Santa Clara Convention Center or Pierpont Place in Salt Lake City. The platform deliberately avoids prescribing a single problem to solve. Instead it asks participants to innovate on top of a given sponsor technology, with the expectation that teams come from mixed backgrounds: engineers, designers, data scientists and domain experts. Beyond events, LabLab publishes AI tutorials and articles, maintains a prototype gallery and leaderboard, and runs community channels on Discord, Twitch, YouTube and LinkedIn. Registration and attendance for hackathons are free; sponsor programs tied to specific events, such as the AMD AI Developer Program, may require their own account. **Pricing & Plans:** LabLab is free to join and all hackathons are free to attend, with technology, credits and prize pools provided by event sponsors. There is no subscription for participants. - **Sponsored AI hackathons, free to join:** Browse live, upcoming and finished hackathons from companies like AMD, IBM, Vultr, AssemblyAI and BAND, with prize pools, timelines and host details listed. - **Mentor support and live streams:** Get insights, boilerplates and one-to-one help from mentors via Discord and Twitch, with in-event interviews and scheduled talks. - **Community prototypes and teams:** A shared place to publish prototypes, follow peers and see how other teams approached the same AI stack or sponsor technology. - **Project showcase and judging:** Events finish with streamed team pitches, giving founders a live audience of judges, mentors and thousands of other participants. - **AI tutorials and resources:** Tutorials, AI articles and a leaderboard help you build skills and track how your projects perform against a global field. **Strengths:** Hackathons are free and frequently sponsored by major AI infrastructure and model providers; Strong mentor access and structured kick-off/pitch streams that give real presentation experience; Broad event formats, from 48-hour sprints to month-long challenges, online and on-site; Useful portfolio and community angle: published prototypes, leaderboards and a large builder network [Profile (Markdown)](https://openaitools.app/tool/lablab-ai.md) ## Frequently Asked Questions ### How do GPUPerHour and LabLab.ai compare in monthly traffic? GPUPerHour has 28,718 monthly visits, while LabLab.ai has 431,529. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? GPUPerHour has a month-over-month growth rate of +25.3%; LabLab.ai has -39.7%. ### How does pricing compare? GPUPerHour: Free. Free to use as a price-comparison and research resource; GPUPerHour does not sell GPU capacity itself. The prices shown are third-party provider rates for secure on-demand instances, per GPU-hour, and a companion service (DeployGPU) offers deployment on supported providers. LabLab.ai: Free. LabLab is free to join and all hackathons are free to attend, with technology, credits and prize pools provided by event sponsors. There is no subscription for participants. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [DeepLearning.AI](https://openaitools.app/tool/deeplearning-ai) | 2,562,512 | -7.2% | Freemium | World-class AI engineering courses and professional certificates, but offers fewer rapid hackathons and community prototyping events. | [.md](https://openaitools.app/tool/deeplearning-ai.md) | | 2 | [The Rundown AI](https://openaitools.app/tool/the-rundown-ai) | 1,018,070 | +28.6% | Free | The top AI news and how to apply it, in five minutes a day | [.md](https://openaitools.app/tool/the-rundown-ai.md) | | 3 | [OpenAI Academy](https://openaitools.app/tool/openai-academy) | 937,379 | -6.3% | Free | Official OpenAI learning hub with structured courses and live events, but lacks the multi-vendor hackathon focus of LabLab.ai. | [.md](https://openaitools.app/tool/openai-academy.md) | | 4 | [SkillsMP — Agent Skills Marketplace](https://openaitools.app/tool/agent-skills-marketplace) | 470,744 | -3.7% | Free | Search and study millions of public SKILL.md agent skills | [.md](https://openaitools.app/tool/agent-skills-marketplace.md) | | 5 | [mcp.so](https://openaitools.app/tool/mcp-server) | 286,704 | -3% | Free | Discover and share Model Context Protocol servers for AI agents and coding tools | [.md](https://openaitools.app/tool/mcp-server.md) | | 6 | [fast.ai](https://openaitools.app/tool/fast-ai) | 250,720 | -10.4% | Free | Renowned free deep learning courses and PyTorch resources, but focuses on academic depth rather than rapid prototyping hackathons. | [.md](https://openaitools.app/tool/fast-ai.md) | | 7 | [Stork](https://openaitools.app/tool/stork) | 201,544 | +2.3% | Free | AI 工具目录、深度评测与每日 AI 新闻 | [.md](https://openaitools.app/tool/stork.md) | | 8 | [Models.dev](https://openaitools.app/tool/models-dev) | 200,451 | -3.9% | Free | Open-source database of AI models, prices and capabilities | [.md](https://openaitools.app/tool/models-dev.md) | | 9 | [Learn Prompting](https://openaitools.app/tool/learn-prompting) | 159,807 | -8.6% | Freemium, Free Trial, Contact for Pricing | Comprehensive open educational guides on prompt engineering, but does not host collaborative AI hackathons or build challenges. | [.md](https://openaitools.app/tool/learn-prompting.md) | | 10 | [Open Data Science (ODS.ai)](https://openaitools.app/tool/ods-ai) | 159,630 | +15.9% | Free | Massive open community for data science and AI practitioners, but lacks structured hackathon events and rapid prototyping challenges. | [.md](https://openaitools.app/tool/ods-ai.md) | --- Source: https://openaitools.app/compare/gpuperhour-vs-lablab-ai More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)