Vendor AI Hardware Specs → Compare Performance → Generate Procurement Report

Use Apify's web scraping actors to automatically collect technical specifications, pricing, and availability data from vendor websites (Arm, Nvidia, AMD, Intel) for their latest AI inference chips and data center processors.

Create Zapier automation to clean and standardize the scraped data, converting various units (TOPS, watts, price per unit) into consistent formats and extracting key metrics like performance per watt and cost per TOPS.

Use GPT-4 to analyze the normalized specifications and generate insights about each chip's competitive advantages, ideal use cases, and performance trade-offs, specifically highlighting how each option fits different AI workload profiles.

Populate an Airtable base with vendor data, GPT-4 analysis, and calculated fields for performance ratios, creating views filtered by use case (inference, training, edge computing) and sorted by key decision criteria.

Use Airtable's interface designer to create an executive-ready procurement report with visualizations, recommendations table, and cost analysis that updates automatically as new chip data becomes available.