Salad: The Distributed GPU Cloud Saving Up to 90% on AI Compute.

#salad #Quasa #QUA

Salad (featured on Quasa.io/projects/salad) is the world’s largest distributed GPU cloud platform in 2026, connecting over 450,000+ earning nodes and delivering 60,000+ daily active GPUs at dramatically lower prices than traditional cloud providers. It allows everyday PC owners (called “Salad Chefs”) to monetize their idle hardware while giving AI/ML teams, startups, and enterprises access to affordable, scalable compute — up to 90% cheaper than hyperscalers.

At its core, Salad creates a win-win decentralized cloud: individuals earn passive income, and businesses get elastic GPU power without massive bills.

Key highlights include:
• SaladCloud — fully managed container service for AI inference, training, rendering, and batch jobs with usage-based pricing starting at $0.02/hour.
• Earn Mode — run the lightweight desktop app in the background and get paid for sharing unused GPU/CPU power.
• High-Scale Workloads — proven by customers like Civitai (10M+ images/day), Blend, and Klyne.ai running massive inference and LoRA training at a fraction of the cost.
• Global Edge Network — nodes in 191+ countries for low-latency, high-availability deployments.
• Security & Reliability — SOC 2 compliant, isolated environments, and no VM management required.

It’s perfect for AI engineers, indie hackers, D2C brands running image generation or LLMs, VFX studios, and anyone needing affordable GPU compute. For PC gamers and hardware owners, it’s one of the easiest ways to earn real passive income from an idle rig.

The community and customers are impressed:
“Switched to SaladCloud and now serve 10 million images per day at a fraction of the previous cost.” — Civitai
“Running 3X more scale at half the cost of A100s. Best decision for our inference workloads.” — Blend CTO
“Easiest passive income I’ve ever made from my gaming PC.”

It shines especially at ultra-low-cost AI inference, massive scalability, decentralized reliability, and turning idle consumer hardware into productive compute.

Downsides: Earnings for Salad Chefs depend on electricity costs, GPU model, and demand; some advanced enterprise features require sales contact; occasional node churn is part of the distributed model.

Overall, for cost-conscious AI teams and GPU owners in 2026, Salad is one of the smartest and most impactful platforms in the compute economy. It’s not just another cloud — it’s the people-powered GPU network democratizing AI infrastructure.
Earn QUA reward via Quasa too!

4.8/5 stars (outstanding for cost savings, scalability, and dual-sided value; minor notes on variable earnings and distributed nature).

Get started: https://quasa.io/projects/salad