# Eraser vs GPUPerHour Eraser records 534,396 monthly visits with -23.6% month-over-month growth and Freemium, Paid, Contact for Pricing pricing. GPUPerHour records 28,718 monthly visits with +25.3% growth and Free pricing. | Metric | [Eraser](https://openaitools.app/tool/eraser) | [GPUPerHour](https://openaitools.app/tool/gpuperhour) | | :--- | :--- | :--- | | Website URL | https://www.eraser.io | https://gpuperhour.com | | Categories | AI Diagram Generator, AI Copilot, AI Design Generator, AI Documents Generator | AI Developer Tools, AI Tools Directory | | Pricing Model | Freemium, Paid, Contact for Pricing | Free | | Monthly Visits | 534,396 | 28,718 | | MoM Growth Rate | -23.6% | +25.3% | | Primary Market | India | United States | | Direct Visits | 267,661 | 11,398 | | Review Score | 4.6 | 4.4 | | Saved Count | 3 | 4 | | Supported Platforms | Website | Website | ## Eraser Eraser is a technical design platform aimed at the people who document architecture: enterprise architects, DevOps and platform engineers, consultants, and software teams. The core promise is speed without sloppiness, so instead of dragging boxes for hours you describe the system or point Eraser at a source of truth such as code, a cloud account, a CMDB, or a spreadsheet, and it produces a diagram that already follows sensible layout rules. Beyond static images, Eraser supports interactive maps that zoom from a company-wide view down into a single service, guided explainers that walk teammates through a system, and AI documents for design docs and technical documentation. Team governance features such as shared style presets, naming rules, and reference architectures keep output consistent as more people create diagrams. An open-source agent toolkit and MCP server let tools like Claude, Cursor, and ChatGPT create, search, and export diagrams programmatically. Prices are organized in tiers that include a free entry point, paid plans, and enterprise agreements, with multi-tenant, single-tenant, and self-hosted deployment options for larger organizations. Security posture includes SOC 2 Type 2 certification and SAML SSO. **Pricing & Plans:** Freemium with paid plans and custom enterprise pricing. A free tier and free tools such as DiagramGPT are available, while paid individual and team plans plus enterprise agreements cover advanced governance, security, and deployment options; check the pricing page for current rates. - **AI diagram generation:** Generate architecture diagrams, flowcharts, sequence diagrams, and BPMN from a text prompt, code, Terraform, or an uploaded PDF, Word, Excel, PowerPoint, Draw.io, or Visio file. - **Maps from live systems:** Build interactive maps that sync with cloud accounts, repositories, and internal catalogs so the picture stays close to the real environment, with drill-down from org level to a single container. - **Diagram-as-code integrations:** Paste code or connect private and public Git repositories, Confluence, Notion, VS Code, and GitHub to keep diagrams grounded in actual implementation. - **Open-source agent toolkit and MCP server:** Run the agent toolkit in your own infrastructure under an MIT license and let MCP-compatible clients create, search, update, and export diagrams with OAuth or API tokens. - **Team style governance:** Apply presets, naming and notation rules, and reference architectures so every teammate's diagram ships on-brand and consistent. **Strengths:** Turns prompts, code, and files into properly laid-out diagrams instead of raw box-and-arrow output; Interactive maps and explainers make complex systems understandable to non-architects; MCP server and open-source toolkit fit agent-driven and self-hosted workflows; Enterprise controls such as SSO, SAML, and SOC 2 Type 2 certification **Limitations:** Heaviest value comes with team and governance features that need setup; Advanced mapping and self-hosted deployment are aimed at larger organizations rather than solo users [Profile (Markdown)](https://openaitools.app/tool/eraser.md) ## 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) ## Frequently Asked Questions ### How do Eraser and GPUPerHour compare in monthly traffic? Eraser has 534,396 monthly visits, while GPUPerHour has 28,718. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Eraser has a month-over-month growth rate of -23.6%; GPUPerHour has +25.3%. ### How does pricing compare? Eraser: Freemium, Paid, Contact for Pricing. Freemium with paid plans and custom enterprise pricing. A free tier and free tools such as DiagramGPT are available, while paid individual and team plans plus enterprise agreements cover advanced governance, security, and deployment options; check the pricing page for current rates. 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. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [Miro](https://openaitools.app/tool/miro) | 30,749,206 | +1.7% | Freemium, Contact for Pricing | Offers an expansive infinite canvas for team brainstorming and visual workshops, but lacks Eraser's code-to-diagram automation. | [.md](https://openaitools.app/tool/miro.md) | | 2 | [Napkin AI](https://openaitools.app/tool/napkin) | 1,029,978 | -17.5% | Freemium | Automatically embeds visual diagrams directly inside text documents, though it lacks Eraser's specialized cloud architecture focus. | [.md](https://openaitools.app/tool/napkin.md) | | 3 | [EdrawMax](https://openaitools.app/tool/edrawmax-com) | 301,707 | -6.5% | Paid | Provides extensive drag-and-drop shapes and templates for general diagrams, but weaker automated code-to-diagram capabilities than Eraser. | [.md](https://openaitools.app/tool/edrawmax-com.md) | | 4 | [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) | | 5 | [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) | | 6 | [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) | | 7 | [Cloudairy](https://openaitools.app/tool/cloudairy) | 179,162 | -13% | Freemium, Contact for Pricing | Combines team whiteboarding, documentation, and diagramming in one platform, but less tailored for automated codebase architecture. | [.md](https://openaitools.app/tool/cloudairy.md) | | 8 | [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) | | 9 | [ToolCenter](https://openaitools.app/tool/toolcenter) | 66,647 | +3.2% | Free | A curated directory of thousands of AI tools, updated daily. | [.md](https://openaitools.app/tool/toolcenter.md) | | 10 | [AI Top100 (AITOP100)](https://openaitools.app/tool/ai-top100) | 51,606 | -22.7% | Free | Chinese AI tools directory plus AIGC contests, courses and news | [.md](https://openaitools.app/tool/ai-top100.md) | --- Source: https://openaitools.app/compare/eraser-vs-gpuperhour More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)