Nos vs Spider Cloud
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Nos | Spider Cloud |
|---|---|---|
| Primary Use | Multi-model inference server for PyTorch | Web crawling and scraping API for AI agents |
| Hardware Support | NVIDIA GPUs, AWS Inferentia2, CPUs | N/A (cloud API) |
| Key Feature | OpenAI-compatible REST & gRPC API | AI Studio natural language crawling |
| Best For | Deploying PyTorch models in production | RAG pipelines and AI agents needing web data |
| Latest News | No significant product news (Nosdesk unrelated) | Browser AI commands, data connectors, scraper catalog |
Choose NOS if you need an open-source inference server to deploy and serve multiple PyTorch models (LLMs, vision, etc.) on your own hardware. Choose Spider Cloud if you need a fast, cost-effective web scraping API tailored for AI agents and RAG pipelines. They solve different problems; the decision hinges on whether you need model serving or web data extraction.

Spider Cloud is an AI web scraping API that turns any site into markdown or JSON for agents and RAG.
Visit WebsiteWho should pick which
- AI engineer deploying PyTorch modelsPick: Nos
NOS is designed for multi-model PyTorch serving with hardware optimization and cloud-agnostic deployment.
- Developer building RAG pipelinePick: Spider Cloud
Spider Cloud provides fast web scraping and structured output ideal for feeding up-to-date data into RAG systems.
- Solo founder struggling with costPick: Nos
NOS is free and open-source, lowering barrier for model serving without per-query fees.
- Data scientist needing to scrape 1000s of pagesPick: Spider Cloud
Spider Cloud's Rust engine and low per-page cost ($0.03/1k pages) make it economical for large scale.
- Team wanting no-code AI toolPick: Spider Cloud
Spider Cloud's AI Studio allows natural language crawling, reducing need for coding.
Frequently Asked Questions
Nos vs Spider Cloud: which should you choose?
Choose NOS if you need an open-source inference server to deploy and serve multiple PyTorch models (LLMs, vision, etc.) on your own hardware. Choose Spider Cloud if you need a fast, cost-effective web scraping API tailored for AI agents and RAG pipelines. They solve different problems; the decision hinges on whether you need model serving or web data extraction.
Is NOS compatible with non-PyTorch models?
No, NOS only supports PyTorch models. For TensorFlow or ONNX, consider other servers.
Does Spider Cloud require self-hosting?
No, Spider Cloud is a cloud API. There's also an open-source core for self-hosting.
Can I use NOS with cloud GPUs?
Yes, NOS runs on any cloud via Docker and supports NVIDIA GPUs, Inferentia2, and CPUs.
What does Spider Cloud's AI Studio do?
It allows natural language commands to crawl and extract data, e.g., 'Get all product prices'.
Is NOS suitable for high-throughput LLM serving?
It's designed for multi-model serving; for single-model throughput, vLLM may be faster.
Does Spider Cloud offer proxies?
Yes, it includes rotating proxies and automatic retries via its unblocker feature.
Can I use NOS with SkyPilot?
Yes, NOS integrates with SkyPilot to deploy on spot/preemptible instances.
What output formats does Spider Cloud support?
Markdown, HTML, JSON, CSV, XML, plain text, and screenshots.
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Last reviewed: July 3, 2026
