Marktechpost Introduces Cloud GPU Price Tracker and Browser Extension for AI Inference

Marktechpost AI has introduced the GPU Leaderboard, a free digital dashboard designed to compare cloud graphics processing unit pricing for artificial intelligence inference workloads. Alongside the main platform, the organization released a browser tool called GPU Leaderboard: Deploy It, which integrates hardware cost data directly into developer workflows.

The core platform scans on-demand and spot rates directly from various provider pages to help technical teams identify the cheapest options. It features four main sections: a cost calculator that estimates full execution expenses rather than isolated hourly rates, a ranked leaderboard filtered by chip type and region, a directory of cheapest available rates, and a provider catalog detailing instance counts and historical price checks.

According to the platform's benchmarks, running an eight-chip H100 configuration for 72 hours at 90 percent utilization yields significant cost variations across the market. The calculations show prices ranging from a low of $967.68 at Latitude to a high of $3,545.28 at CoreWeave, with a median cost of $1,716.48 across 15 tracked vendors. Additionally, the companion Chrome extension assists developers by analyzing model requirements on Hugging Face and GitHub repositories, automatically estimating necessary VRAM and surfacing compatible budget hardware.

• Tracks 201 live GPU offers across 24 different cloud providers.
• Calculates total run costs while accounting for idle billing time.
• Browser extension estimates VRAM needs directly on Hugging Face and GitHub.

What to watch next: Monitor whether expanded coverage and frequent daily refreshes will help the platform compete with older, established tracking services.