Zettascale vs Spider Cloud

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-10-09
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At a glance

DimensionZettascaleSpider Cloud
Primary Use CaseEnergy-efficient reconfigurable chips for AI scientific discoveryWeb scraping and crawling for AI agents, RAG pipelines
Key CapabilityDataflow architecture (XPU) supporting FP8-FP64, optimized for dense and irregular workloadsReal-time structured extraction (markdown/JSON/CSV) + AI commands via WebSocket
DeploymentHardware prototype (FPGA Grasshopper) + cluster (Monolith)Cloud API + open-source self-host option
Target UserAI researchers & hardware engineers building next-gen systemsAI/LLM developers requiring web data
Latest News InsightEssay on LLM plateau, pushing hardware beyond text-based AIBrowser AI commands (Act/Extract/Observe) + scraper catalog + data connectors

Choose Spider Cloud if you need immediate, low-cost web data extraction for AI agents or RAG pipelines — it's production-ready with a freemium API. Go with Zettascale only if you're a researcher or data center investing in next-gen energy-efficient hardware for scientific AI loops, understanding it's a hardware prototype requiring deep integration.

Zettascale
Zettascale

Zettascale XPU chips run AI inference and training on a fraction of the energy by keeping data close to compute.

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Spider Cloud
Spider Cloud

Spider Cloud is a web scraping and crawling API that turns live pages into markdown or JSON for agents and RAG pipelines.

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Pricing
Contact Sales
Freemium
Plans
—
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
8 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
—
WebAPIPluginCLIDesktop
Categories
🖥️ GPU Cloud & Model Inference
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Reconfigurable XPU silicon that changes with the workload
End-to-end AI inference running live on FPGA (VU47P)
Precision support from FP8 through FP64 on one architecture
Dense math and sparse, irregular workloads on the same silicon
Data-close-to-compute design to cut energy per token
Grasshopper devkit open for pre-order
Frontend shims for PyTorch, tinygrad, and JAX via a single import
libxpu C ABI giving control of every buffer and byte moved
Planned fully open-source kernel development layer
Monolith cluster that behaves as one chip, hosted
Runs agents, experience generation, and training on one machine
Co-designed with autonomous AI agents
Open-source codebase on GitHub
Scrape a single page into markdown, JSON, HTML, raw text, or plain text
Crawl entire sites with each page streamed as one JSONL line in order the moment it finishes
Web search endpoint returns SERP results plus the scraped pages behind them in one call
Custom browser renders like a user: scripts run, lazy images load, infinite scroll completes
Unblocker loads protected pages through a real browser engine with geo checks and a 200
Browser Cloud runs full sessions with anti-detection and rotating exits
Send AI commands (Act, Extract, Observe) over the Browser API WebSocket
Send a prompt on a scrape or crawl request and get the named fields back as JSON
Two-phase AI extraction: a fast model for most pages, a stronger model for complex layouts
Provider router sends scrape and crawl requests to outside providers on your own keys
Data connectors pipe crawl results into S3, GCS, Google Sheets, Azure Blob, or Supabase
Proxy network with 215M+ residential and ISP exits in 199 countries, rotated per request
Requests stream back as they land, in order, without waiting for the last URL
MCP server at mcp.spider.cloud for Claude Code, Codex, Cursor, and Claude Desktop
1,000+ ready-made scraper examples across 32 categories, each with working code
Integrations
PyTorch
tinygrad
JAX
GitHub
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
MCP
Claude Code
Codex
Cursor
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

What real users say: Zettascale vs Spider Cloud

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Zettascale

9 mentions across 3 sources · 47% positive — mixed (averaged across 3 sources)

Hacker News, YouTube, Lemmy

What users praise

  • • Visionary architecture for post-transformer AI workloads.
  • • FPGA prototype (Grasshopper) allows early testing before ASIC commitment.
  • • Supports wide precision range (FP8-FP64) and sparse workloads.
  • • Aims to minimize data movement, which could deliver major energy savings.

What frustrates them

  • • No public beta or production-ready hardware available.
  • • Pricing is opaque and requires contacting sales.
  • • No developer documentation, SDK, or community support yet.
  • • Zero independent benchmarks or real-world performance data.

Researched Aug 6, 2026

Spider Cloud

No verifiable community signal. We scanned public discussion on Oct 7, 2026 and found posts matching the name “Spider Cloud”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

Who should pick which

  • AI Agent Developer
    Pick: Spider Cloud

    Spider Cloud's Browser AI commands and structured extraction directly feed agent memory/context with live web data at $0.03/1k pages.

  • RAG Pipeline Engineer
    Pick: Spider Cloud

    The API outputs markdown/HTML/JSON, integrates with LangChain/LlamaIndex, and supports data connectors to cloud storage for indexing.

  • AI Research Lab (Scientific Discovery)
    Pick: Zettascale

    Zettascale's reconfigurable dataflow chips are designed for dense simulation and learning loops needed for scientific AI, not text scraping.

  • Solo Founder Building a Web Scraper
    Pick: Spider Cloud

    Freemium pricing, 1,000+ ready-made examples, and open-source fallback make it easy to start without upfront investment.

  • Data Center Architect
    Pick: Zettascale

    For energy-efficient AI compute, Zettascale's XPU minimizes data movement and supports FP8-FP64, targeting low-power clusters.

Frequently Asked Questions

Zettascale vs Spider Cloud: which should you choose?

Choose Spider Cloud if you need immediate, low-cost web data extraction for AI agents or RAG pipelines — it's production-ready with a freemium API. Go with Zettascale only if you're a researcher or data center investing in next-gen energy-efficient hardware for scientific AI loops, understanding it's a hardware prototype requiring deep integration.

Which tool is better for real-time web data extraction?

Spider Cloud, with its Browser AI WebSocket commands (Observe, Extract) and search endpoint, is designed for real-time AI agent data retrieval.

Can Zettascale be used for web scraping?

No, Zettascale is a hardware accelerator for AI computation, not a software tool for web scraping.

What is the pricing model of Spider Cloud?

Freemium with pay-per-usage (~$0.03 per 1k pages) and optional AI Studio add-on at $6/mo. Failed requests are free.

Does Zettascale have a publicly available product?

Zettascale has an FPGA prototype (Grasshopper) for early testing; cluster (Monolith) is in development. Contact for access.

Which tool is more suitable for AI agent developers?

Spider Cloud, because it provides pre-built integrations (LangChain, CrewAI), structured outputs, and an AI Studio for natural language crawling.

Can I self-host Spider Cloud?

Yes, Spider Cloud has an open-source core available on GitHub, allowing self-hosted deployment as a fallback.

What recent updates did Spider Cloud announce?

Browser AI commands (Act, Extract, Observe) via WebSocket, a scraper catalog with 1,000+ examples, and data connectors to S3/GCS/Sheets/Azure Blob/Supabase.

What is Zettascale's vision according to its latest news?

An essay argues LLMs are plateauing and next frontier requires hardware for scientific discovery loops, which Zettascale's XPU is designed for.

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Last reviewed: July 3, 2026