up to 40% discount for major investors

Renting an NVIDIA A100 GPU can range from $ 0.95 to $ 5/hour, easily exceeding $ 3,500/month if used continuously. Advanced AI tasks often require multiple GPUs, pushing monthly expenses into five figures for a single app.

Decentralized GPU networks like Akash or Render offer potential cost efficiencies but run on siloed token models, causing complexity for mainstream adoption.

AI Startups wanting to build autonomous agents face the lack of a unified protocol for machine-to-machine payments—limiting efficient collaboration among AI systems.

Dominant cloud providers drive up prices, restrict smaller players, and hamper AI innovation.

Each dApp, acting as an autonomous agent, can seamlessly purchase services from other specialized dApps. For instance, an AI trading bot dApp might pay an analytics dApp for fundamental research—all settled in EXE.

02.Machine-to-Machine (M2M) Interactions

Inspired by Tim Berners-Lee's vision, EXE-based agents rely on shared ontologies and smart contracts to "understand" each other’s functions. This fosters an interconnected environment where "everything links to everything."

03.Semantic Web Foundations

Leveraging decentralized GPU can yield up to 70% savings vs. centralized clouds. Each AI-related transaction in EXE partially burns tokens, reinforcing long-term value.

04.Cost Savings & Deflationary Mechanics

01.Single Payment & Utility Token

EXE serves as the common method to pay for GPU resources across multiple decentralized networks, delivering cost-effective compute for advanced AI tasks.

Networks like Akash, Render, and Bittensor prove on-chain GPU rentals are viable but need a singular front door to attract mainstream users.

The global AI market is heading toward $ 826.7B by 2030 (36.6% CAGR), demanding cheaper, scalable GPU and a unified token ecosystem.

EXE inherits CrossFi’s active user base, ensuring immediate traction for AI-powered dApps and M2M interactions.

AI is maturing rapidly. Autonomous agents that negotiate fees and services on behalf of users represent the new frontier. EXE’s protocol is poised to lead this movement.

dApps automatically pay each other, generating M2M fees.

100K+ CrossFi users, top GPU networks, and new AI providers fueling growth.

Up to 70% cheaper than centralized clouds, plus supply-reducing burns.

Shared ontology so agents easily “discover” specialized services.

One token to access multiple GPU networks & AI dApps.