Features
Reconfigurable dataflow architecture (XPU)
Supports FP8 to FP64 precision
Dense and irregular workload optimization
Minimizes data movement for energy efficiency
FPGA prototype (Grasshopper) for early testing
Cluster design (Monolith) for scaling as a single machine
Aimed at AI discovery loops (propose, simulate, test, learn)
Designed for training, simulation, and verification
Low-energy AI inference and training
Hardware for recursive self-improvement and superintelligence
Web crawling and scraping API with Rust engine
AI Studio for natural language crawling (add-on $6/mo)
Browser AI commands via WebSocket: Act, Extract, Observe
Silk custom AI model for extraction and captcha solving
Browser Cloud with stealth anti-detection
Structured output: markdown, HTML, JSON, CSV, XML, plain text
Screenshot capture of pages
Link extraction from pages
Search endpoint for query-based data retrieval
Unblocker with rotating proxies and automatic retries
1,000+ ready-made scraper examples (32 categories)
Data connectors: S3, GCS, Google Sheets, Azure Blob, Supabase
Respects robots.txt (configurable)
Failed requests not billed
Open-source core available on GitHub
