Distributed Gaming Compute Networks

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Salad.com Turned 400 Million Idle Gaming PCs Into an AI Cloud

Edited by Grace Mahas — February 24, 2026 — Tech
This article was written with the assistance of AI.
Salad.com started as a simple pitch to gamers: let the app run in the background, earn rewards, skip the crypto complexity. When Ethereum's shift to proof of stake wiped out mining revenue, the company already had something more valuable than the income — a live network of tens of thousands of consumer GPUs and the software to orchestrate them. It pivoted to distributed AI inference, and the infrastructure held.

Today, Salad operates over 60,000 daily active GPUs across 190 countries, serving enterprise clients like Stability AI and Discord at roughly $0.99 per GPU-hour, compared to $3-7 on major cloud platforms. Its recent partnership with Golem Network explores whether blockchain-based settlement can reduce the cross-border payment fees that eat into payouts for providers worldwide. The workloads running on this distributed layer range from image generation to molecular dynamics simulations for drug discovery — pointing to a future where the next breakthrough drug candidate might be stress-tested on a gamer's GPU while they sleep.

Image Credit: Christian Petersen/Getty Images
Trend Themes
1. Distributed Consumer GPU Clouds - A global mesh of idle consumer GPUs enabling enterprise-grade AI inference at a fraction of hyperscaler costs creates new economics for compute-intensive applications.
2. Gamified Compute Marketplaces - Monetization models that reward gamers for lending hardware transform user engagement into a scalable supply of low-cost, on-demand compute capacity.
3. Blockchain-based Micropayment Settlement - Decentralized settlement layers that reduce cross-border fees make micropayments to thousands of dispersed providers financially viable and transparent.
Industry Implications
1. Cloud Infrastructure - Hybrid platforms that integrate distributed consumer nodes with traditional data centers present opportunities to undercut major cloud providers on price and geographic reach.
2. Drug Discovery and Computational Biology - Access to vast, low-cost GPU fleets enables large-scale molecular simulations and AI-driven candidate screening that accelerate early-stage research pipelines.
3. Game Development and Esports - Background compute monetization introduces alternate revenue streams and service models that could shift how studios budget multiplayer services and live events.
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