#Salad #Kwasa #Kua
Salad (featured at Quasa.io/projects/salad) is the world’s largest distributed GPU cloud platform in 2026, connecting over 450,000 revenue nodes and delivering over 60,000 daily active GPUs at significantly lower prices than traditional cloud providers. This allows everyday PC owners (referred to as “salad chefs”) to monetize their idle hardware while providing AI/ML teams, startups, and enterprises with access to affordable, scalable compute that’s up to 90% cheaper than hyperscalers.
At its core, Salad builds a win-win distributed cloud. Individuals can earn passive income and businesses can get flexible GPU power without incurring large charges.
Key highlights include:
• SaladCloud — Fully managed container service for AI inference, training, rendering, and batch jobs, with usage-based pricing starting at $0.02 per hour.
• Earn mode — Earn rewards by running lightweight desktop apps in the background and sharing your unused GPU/CPU power.
• Large-scale workloads — Proven by customers like Civitai (10 million+ images per day), Blend, and Klyne.ai running inference and LoRA training at scale at a fraction of the cost.
• Global Edge Network — Delivers low-latency, high-availability deployments with nodes in over 191 countries.
• Security and reliability—Isolated SOC 2 compliant environment with no VM management required.
Perfect for AI engineers, indie hackers, D2C brands running image generation and LLM, VFX studios, and anyone who needs affordable GPU computing. For PC gamers and hardware owners, this is one of the easiest ways to actually make passive income from your idle rig.
Our community and customers are impressed:
“By switching to SaladCloud, we can now serve 10 million images per day at a fraction of the cost.” — Chibitai
“Run 3x the scale at half the cost of A100. It’s the best decision for your inference workloads.” — Blend CTO
“Easiest passive income ever made from a gaming PC.”
Specifically, it excels at ultra-low-cost AI inference, massive scalability, decentralized reliability, and turning idle consumer hardware into productive computing.
disadvantages: Salad Chef’s income is determined by electricity bill, GPU model, and demand. Some advanced enterprise features require contacting a sales representative. Occasional node churn is part of the distributed model.
Overall, for cost-conscious AI teams and GPU owners in 2026, Salad will be one of the smartest and most impactful platforms in the computing economy. This isn’t just another cloud, it’s a human-powered GPU network that democratizes AI infrastructure.
Earn QUA rewards via Quasa too!
4.8/5 stars (Excellent cost savings, scalability, and two-sided value; some caveats about variable returns and diversification).
Get started: https://quasa.io/projects/salad
