# GPUPerHour vs Roboflow GPUPerHour records 28,718 monthly visits with +25.3% month-over-month growth and Free pricing. Roboflow records 1,431,204 monthly visits with +6.6% growth and Freemium, Contact for Pricing pricing. | Metric | [GPUPerHour](https://openaitools.app/tool/gpuperhour) | [Roboflow](https://openaitools.app/tool/roboflow) | | :--- | :--- | :--- | | Website URL | https://gpuperhour.com | https://roboflow.com | | Categories | AI Developer Tools, AI Tools Directory | AI Developer Tools, AI API, AI Models, AI Workflow | | Pricing Model | Free | Freemium, Contact for Pricing | | Monthly Visits | 28,718 | 1,431,204 | | MoM Growth Rate | +25.3% | +6.6% | | Primary Market | United States | United States | | Direct Visits | 11,398 | 676,465 | | Review Score | 4.4 | 4.6 | | Saved Count | 4 | 4 | | 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) ## Roboflow Roboflow is a computer vision platform built for what it calls AI for the physical world. Its goal is to move vision projects from idea to production without stitching together a dozen separate tools. The platform covers the full lifecycle: collecting and labeling image data with AI-assisted annotation, training and comparing models, assembling multi-step workflows, and deploying inference in the cloud or on edge hardware. The annotation layer uses frontier models and custom filters to label thousands of images quickly, which drastically cuts the most tedious part of a vision project. From there, teams train models, evaluate them, and then build Roboflow Workflows that combine object detection, tracking, motion detection, line counters, and notification blocks into a single pipeline. This makes it possible to, for example, detect defects on a production line, count items on a conveyor, and send an alert when a threshold is crossed. Roboflow also leans heavily into developer ergonomics. It maintains popular open-source projects such as supervision, inference, RF-DETR, trackers, and notebooks, and exposes an MCP server so coding agents like Claude Code, Cursor, Codex, and Gemini CLI can build deployable vision applications. Deployment targets span cloud inference and edge devices, and the customer base includes more than half the Fortune 100, with published case studies in rail logistics, building materials, and consumer goods. A free tier lets individuals and small teams start building before committing to a paid plan. **Pricing & Plans:** Roboflow offers a free tier that the company says is enough to start building, and paid plans for more usage and team features. Larger enterprise and high-volume deployments are priced through a sales conversation, so exact figures depend on your project and should be confirmed on the pricing page or with Roboflow directly. - **AI-assisted annotation:** Label thousands of images in minutes using frontier models and custom filters, then curate datasets for training. - **Visual Workflows builder:** Combine detection, tracking, and logic blocks to orchestrate actions, update databases, and connect to industrial systems. - **Cloud and edge deployment:** Run high-speed inference in the cloud or on edge devices, processing live video and images wherever the application lives. - **Roboflow Agent:** Get into production quickly with an agent that sees the world, understands what is happening, and triggers actions. - **Developer and open-source tooling:** Connect coding agents like Claude Code, Cursor, Codex, or Gemini CLI to the Roboflow MCP server, and build on open-source projects including supervision, inference, RF-DETR, and trackers. **Strengths:** Covers the whole vision lifecycle in one platform, from annotation to deployment; AI-assisted labeling dramatically speeds up dataset preparation; Roboflow Workflows chain detection, tracking, and actions without heavy custom code; Deployment in the cloud or on edge devices, with live video support [Profile (Markdown)](https://openaitools.app/tool/roboflow.md) ## Frequently Asked Questions ### How do GPUPerHour and Roboflow compare in monthly traffic? GPUPerHour has 28,718 monthly visits, while Roboflow has 1,431,204. 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%; Roboflow has +6.6%. ### 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. Roboflow: Freemium, Contact for Pricing. Roboflow offers a free tier that the company says is enough to start building, and paid plans for more usage and team features. Larger enterprise and high-volume deployments are priced through a sales conversation, so exact figures depend on your project and should be confirmed on the pricing page or with Roboflow directly. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [Replicate AI](https://openaitools.app/tool/replicate-ai) | 904,038 | -8.4% | Paid | Run, fine-tune, and deploy machine learning models with one line of code | [.md](https://openaitools.app/tool/replicate-ai.md) | | 2 | [Ultralytics](https://openaitools.app/tool/ultralytics) | 793,423 | +8.7% | Freemium | Focuses specifically on the YOLO model family for real-time object detection, whereas Roboflow offers a broader suite of annotation and dataset tools. | [.md](https://openaitools.app/tool/ultralytics.md) | | 3 | [Labelbox](https://openaitools.app/tool/labelbox) | 762,803 | -22.8% | Contact for Pricing | Provides powerful enterprise data labeling and curation workflows, but lacks Roboflow's built-in model training and edge deployment pipelines. | [.md](https://openaitools.app/tool/labelbox.md) | | 4 | [SuperAnnotate](https://openaitools.app/tool/super-annotate) | 386,034 | +37.4% | Free Trial, Contact for Pricing | Combines annotation and data curation for enterprise ML pipelines, but requires more manual setup for edge model deployment. | [.md](https://openaitools.app/tool/super-annotate.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 | [Encord](https://openaitools.app/tool/encord-com) | 244,204 | +9.4% | Contact for Pricing | Strong multimodal data infrastructure for physical AI datasets, though less focused on simple end-user model deployment than Roboflow. | [.md](https://openaitools.app/tool/encord-com.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 | [Label Studio](https://openaitools.app/tool/label-studio) | 137,199 | -16.1% | Contact for Pricing, Free | A flexible open-source labeling tool you can self-host, but lacks Roboflow's managed cloud infrastructure for training and deployment. | [.md](https://openaitools.app/tool/label-studio.md) | | 10 | [Easy With AI](https://openaitools.app/tool/easywithai-com) | 119,734 | -2.7% | Freemium, Free Trial, Free | A hand-curated directory for discovering AI tools and resources | [.md](https://openaitools.app/tool/easywithai-com.md) | --- Source: https://openaitools.app/compare/gpuperhour-vs-roboflow More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)