Salad — Distributed GPU Cloud for AI Inference

Salad is a decentralized GPU cloud platform for businesses scaling AI inference and machine learning workloads

Salad is a decentralized cloud compute platform that provides high-performance GPU resources for AI and machine learning tasks. This platform is specifically designed for businesses and developers who need to scale AI model inference and data processing without the high costs associated with traditional hyperscale cloud providers. By leveraging a global network of over one million residential nodes, Salad allows users to access GPU power at a fraction of the market rate. The platform functions as a managed container service, meaning business owners do not need to manage virtual machines or complex infrastructure. You simply package your application in a container and deploy it across a distributed fleet of consumer GPUs. This architecture is particularly effective for generating images with Stable Diffusion, running large language models, or processing video files at scale. In 2026, many organizations are turning to this model to avoid hardware shortages and maintain high availability across 190 countries. Data security and reliability are maintained through container isolation and automated health checks. By utilizing existing hardware that would otherwise be idle, Salad provides a more sustainable alternative to building new data centers. Business leaders can find more information about distributed infrastructure and check for verified reviews on surfai.app to ensure the tool fits their specific production workflow. Pricing operates on a usage-based model with GPU costs starting as low as $0.02 per hour. There are no long-term contracts or upfront commitments required to start deploying models.

• Pricing: paid

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