# DailyTech AI vs GPUPerHour

DailyTech AI records 0 monthly visits with 0% month-over-month growth and Free pricing. GPUPerHour records 28,718 monthly visits with +25.3% growth and Free pricing.

| Metric | [DailyTech AI](https://openaitools.app/tool/dailytech-ai) | [GPUPerHour](https://openaitools.app/tool/gpuperhour) |
| :--- | :--- | :--- |
| Website URL | https://www.dailytech.ai | https://gpuperhour.com |
| Categories | AI Tools Directory, AI Image Generator, AI Video Generator, AI Text Generator | AI Developer Tools, AI Tools Directory |
| Pricing Model | Free | Free |
| Monthly Visits | 0 | 28,718 |
| MoM Growth Rate | 0% | +25.3% |
| Primary Market | Global | United States |
| Direct Visits | 0 | 11,398 |
| Review Score | 4.2 | 4.4 |
| Saved Count | 19 | 4 |
| Supported Platforms | Website | Website |

## DailyTech AI

DailyTech.ai takes a deliberately quantitative approach to AI coverage. Rather than reporting announcements alone, it frames stories around the numbers that decide whether a model is usable for a given job: how many tokens something costs, how much context a model really reads, what a monthly workload will bill out at, and what hardware can run it. Editorial guides span three main themes — models and releases, coding with AI, and AI at work — with a model tracker that logs new releases together with price and context size.

Alongside the writing, the site offers a set of free calculators that answer one question each and, importantly, show the formula and the sources behind the answer. A token counter and a words-to-tokens converter help you understand how a model reads your prompt; an API cost calculator and a subscription-versus-API comparison help you decide whether a plan pays off for your usage; a context window checker tests whether a document or codebase will fit; and a VRAM calculator estimates memory needs by model size and quantisation.

DailyTech.ai is an independent publication, not a marketplace or a directory of tool listings. Numbers on the site are attributed to the provider's own pages with the date they were read, and the team says explicitly which results come from other people's tests. Corrections are kept visible so a changed figure or a mistake is acknowledged rather than quietly rewritten.

**Pricing & Plans:** Free. All guides, the model tracker and every calculator are available without an account or payment.

- **Token counter:** Paste text or a file and see how a model would split it into tokens, with a live word and token count.
- **Words-to-tokens converter:** Convert words, pages or characters into tokens and back, and compare how different models read the same text.
- **API cost calculator:** Price a monthly workload on each major model using the providers' own price pages to estimate your bill.
- **Context window checker:** Check whether a document, codebase or long chat fits inside each model's context window before you send it.
- **VRAM calculator:** Estimate memory needed by model size and quantisation and get a rough speed estimate for your GPU.

**Strengths:** Every figure links to a source with the date it was checked; Free calculators with no sign-up, each showing its formula and sources; Clear labelling of which results come from third-party tests; Visible corrections when facts change or errors are found

**Limitations:** It is an analysis and measurement site, not a directory of links to try tools; Every model's price and limits change often, so older articles can lag reality; Calculators rely on published rates and approximate token estimates, not live billing; Coverage is text/price/GPU oriented; it does not benchmark image or video models

[Profile (Markdown)](https://openaitools.app/tool/dailytech-ai.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 DailyTech AI and GPUPerHour compare in monthly traffic?

DailyTech AI has 0 monthly visits, while GPUPerHour has 28,718. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

DailyTech AI has a month-over-month growth rate of 0%; GPUPerHour has +25.3%.

### How does pricing compare?

DailyTech AI: Free. Free. All guides, the model tracker and every calculator are available without an account or payment. 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 | [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) |
| 2 | [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) |
| 3 | [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) |
| 4 | [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) |
| 5 | [MEGATEK.AI](https://openaitools.app/tool/megatek-ai) | 78,552 | +46.5% | Free, Paid | The global AI ecosystem database, published in about 100 languages | [.md](https://openaitools.app/tool/megatek-ai.md) |
| 6 | [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) |
| 7 | [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) |
| 8 | [InfraBase.ai](https://openaitools.app/tool/infrabase-ai) | 39,072 | -13.6% | Free | Hand-verified directory of AI infrastructure tools | [.md](https://openaitools.app/tool/infrabase-ai.md) |
| 9 | [ToolDirectory.AI](https://openaitools.app/tool/tooldirectory-ai) | 30,123 | +64.9% | Freemium | An editor-reviewed directory of 2,888+ AI tools, dated and marked live or retired | [.md](https://openaitools.app/tool/tooldirectory-ai.md) |
| 10 | [AI Parabellum](https://openaitools.app/tool/ai-parabellum) | 24,100 | +42.6% | Free | Discover AI tools and keep up with daily AI news | [.md](https://openaitools.app/tool/ai-parabellum.md) |

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Source: https://openaitools.app/compare/dailytech-ai-vs-gpuperhour

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