# IP2UP vs RunPod

IP2UP records 0 monthly visits with -100% month-over-month growth and Paid, Contact for Pricing pricing. RunPod records 2,881,043 monthly visits with +5.9% growth and Paid pricing.

| Metric | [IP2UP](https://openaitools.app/tool/ip2up-proxy) | [RunPod](https://openaitools.app/tool/runpod) |
| :--- | :--- | :--- |
| Website URL | https://ip2up.com | https://runpod.io |
| Categories | AI Web Scraping, AI Data Mining, AI SEO Tools, AI Advertising | AI Developer Tools, AI Models, Large Language Models (LLMs), AI API |
| Pricing Model | Paid, Contact for Pricing | Paid |
| Monthly Visits | 0 | 2,881,043 |
| MoM Growth Rate | -100% | +5.9% |
| Primary Market | Global | United States |
| Direct Visits | 0 | 1,634,834 |
| Review Score | 4.2 | 4.7 |
| Saved Count | 0 | 4 |
| Supported Platforms | Website | Website |

## IP2UP

IP2UP is a residential proxy platform built for teams that need to reach the public web from many different locations without getting blocked. Rather than selling generic datacenter IPs, it supplies residential addresses drawn from real consumer connections, which makes requests look like ordinary household traffic. The network claims coverage of 200+ countries and regions with targeting granularity down to country, state, city and ASN.

The product line is split by usage pattern. Dynamic residential proxies bill by bandwidth and rotate IPs, which suits large-scale crawling and price monitoring. Static ISP proxies cost less and give each session a fixed identity, which is useful for logins and long-lived sessions. Unlimited residential proxies bill by time and suit sustained traffic where bandwidth predictability matters more than raw volume.

Integration is developer-focused: ready-made snippets in Python, Node.js, PHP, Go, Java, C++ and cURL, plus developer documentation covering endpoints, authentication and protocols. The company also publishes enterprise-oriented messaging around compliant use, vetted supply and policy-aware controls for public-web data access.

**Pricing & Plans:** Paid, quote-based plus listed reference rates: dynamic residential from $0.45/GB, static residential from $0.16/day, and unlimited residential listed at $10/hour. Enterprise and custom volume plans are handled through sales contact.

- **Three proxy product families:** Rotating dynamic residential billed per GB, static ISP proxies billed per day for stable identities, and unlimited-traffic plans billed per hour for sustained workloads.
- **Fine-grained geo-targeting:** Select exit nodes by country, state, city or ASN so requests appear to originate from the exact market you are researching or verifying.
- **Session and rotation controls:** Tune IP rotation behavior and session stickiness per task, so long-running jobs keep a consistent identity while broad crawls rotate freely.
- **HTTP and SOCKS5 support:** Both protocols are supported across the product line, with ready code samples in Python, Node.js, PHP, Go, Java, C++ and cURL.
- **Coverage across 200+ countries:** A large pool of residential addresses with published per-country supply figures, aimed at multi-region data collection and monitoring.

**Strengths:** Clear product segmentation by workload type (rotating, static, unlimited); Granular targeting including city and ASN level; Straightforward developer onboarding with multi-language code samples; Published per-country IP supply figures for capacity planning

**Limitations:** No self-serve instant pricing for every plan — enterprise deals require contacting sales; Unlimited plans still carry bandwidth, concurrency and duration limits that need reading before purchase; Residential proxy quality varies by location, so benchmarking your own targets first is advisable

[Profile (Markdown)](https://openaitools.app/tool/ip2up-proxy.md)

## RunPod

The platform is organised around three products. Pods give you a persistent GPU instance with your own container, framework and code, available as guaranteed Reserved capacity or lower-priced interruptible instances. Serverless turns a container into an autoscaling HTTP or queue-driven endpoint that spins workers up and down with demand. Clusters connect many GPUs across nodes for distributed training and large-scale inference, with shared storage attached. Around these sit a Model Hub of deployable templates and public endpoints for hosted image, audio and text models.

Operationally, RunPod leans on fast provisioning and scale-to-zero economics. A GPU pod can be running in under a minute, workloads spread across 31 regions, and Serverless endpoints expand from zero to hundreds of concurrent workers automatically without hand-written orchestration. Storage is persistent and priced in tiers, which suits pipelines that keep checkpoints and datasets around between runs.

RunPod is a popular choice for developers, research teams and AI startups because it removes the need to negotiate long-term contracts with hyperscale clouds while still offering enterprise features such as SOC 2 Type II compliance, 99.9% uptime targets and failover handling. It is best suited to teams who are comfortable working in containers and want direct control over GPU cost and configuration.

**Pricing & Plans:** Paid, pay-as-you-go. GPU Pods are billed per second or per hour by card type, Serverless endpoints bill for active compute only with zero idle cost, and Clusters charge per GPU per hour. Storage starts at around $0.05/GB per month. A free tier and enterprise reserved-capacity contracts are also available.

- **On-demand GPU Pods:** Rent GPU instances with on-demand, interruptible or reserved capacity across more than 30 GPU SKUs, from RTX 4090s up to B200 and B300 class accelerators, deployed in 31 global regions.
- **Autoscaling Serverless endpoints:** Deploy any container as an API endpoint that scales from zero to thousands of workers on demand and bills only for the compute you actually use.
- **Multi-node Clusters:** Launch multi-node GPU clusters for distributed training and large inference jobs, with shared storage attachable and no long-term commitment required.
- **Model Hub and public endpoints:** Deploy popular open-source models from a curated hub, or use public endpoints for image, audio and text models without managing infrastructure.
- **Persistent storage:** Persistent network storage with standard and high-performance tiers, container and volume disks, and no egress fees for full AI pipelines.

**Strengths:** Extremely broad GPU catalogue spanning consumer and datacentre cards; Per-second billing and scale-to-zero serverless endpoints keep idle costs near zero; Fast environment provisioning from templates or your own containers; Global region coverage with persistent storage and no egress fees

**Limitations:** GPU availability for high-end cards can vary by region and time of day; Serverless cold starts and autoscaling behaviour require some tuning to get right; Costs can climb quickly if workloads are left running on idle Pods; Learning curve for container and handler configuration is steeper than fully managed model APIs

[Profile (Markdown)](https://openaitools.app/tool/runpod.md)

## Frequently Asked Questions

### How do IP2UP and RunPod compare in monthly traffic?

IP2UP has 0 monthly visits, while RunPod has 2,881,043. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

IP2UP has a month-over-month growth rate of -100%; RunPod has +5.9%.

### How does pricing compare?

IP2UP: Paid, Contact for Pricing. Paid, quote-based plus listed reference rates: dynamic residential from $0.45/GB, static residential from $0.16/day, and unlimited residential listed at $10/hour. Enterprise and custom volume plans are handled through sales contact. RunPod: Paid. Paid, pay-as-you-go. GPU Pods are billed per second or per hour by card type, Serverless endpoints bill for active compute only with zero idle cost, and Clusters charge per GPU per hour. Storage starts at around $0.05/GB per month. A free tier and enterprise reserved-capacity contracts are also available.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Provides a unified API gateway across hundreds of models, but entirely abstracts away underlying GPU infrastructure management. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 2 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | Specializes in lightning-fast serverless execution for generative media models, but lacks general-purpose GPU pod rental options. | [.md](https://openaitools.app/tool/fal-ai.md) |
| 3 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Delivers managed serverless model inference and GPU clusters, trading raw bare-metal pod customization for streamlined API access. | [.md](https://openaitools.app/tool/together-ai.md) |
| 4 | [Vast.ai](https://openaitools.app/tool/vast-ai) | 1,257,554 | +2.8% | Paid | Offers a peer-to-peer GPU rental marketplace with often lower prices, but with more variable hardware reliability than RunPod. | [.md](https://openaitools.app/tool/vast-ai.md) |
| 5 | [Browser Use](https://openaitools.app/tool/browser-use) | 1,206,376 | +41.1% | Freemium, Paid, Contact for Pricing | Browser agents and stealth cloud browsers for real web tasks | [.md](https://openaitools.app/tool/browser-use.md) |
| 6 | [Modal](https://openaitools.app/tool/modal-com) | 1,196,021 | +30.2% | Freemium, Contact for Pricing | Provides serverless Python execution and instant container scaling, but lacks direct persistent SSH pod control like RunPod. | [.md](https://openaitools.app/tool/modal-com.md) |
| 7 | [Nebius](https://openaitools.app/tool/nebius) | 1,145,711 | +10.7% | Paid, Contact for Pricing | Offers high-performance enterprise NVIDIA GPU clusters, but focuses more on dedicated bare-metal infrastructure than flexible spot pods. | [.md](https://openaitools.app/tool/nebius.md) |
| 8 | [Replicate AI](https://openaitools.app/tool/replicate-ai) | 904,038 | -8.4% | Paid | Offers a polished API and cloud platform for running open models, but provides less direct infrastructure-level control than RunPod. | [.md](https://openaitools.app/tool/replicate-ai.md) |
| 9 | [Bright Data](https://openaitools.app/tool/bright-data) | 802,752 | -5.9% | Free Trial, Paid | Web data infrastructure for scraping, proxies, and AI-ready datasets | [.md](https://openaitools.app/tool/bright-data.md) |
| 10 | [Salad](https://openaitools.app/tool/salad-gpu-cloud) | 713,519 | +10.4% | Free Trial, Paid, Contact for Pricing | Utilizes distributed consumer hardware to drastically lower inference costs, but cannot match enterprise GPU availability or SLA guarantees. | [.md](https://openaitools.app/tool/salad-gpu-cloud.md) |

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Source: https://openaitools.app/compare/ip2up-proxy-vs-runpod

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)