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Salad is a distributed cloud computing platform that provides low-cost GPU infrastructure for AI and machine learning workloads. They enable businesses to deploy AI models, run inference workloads, and scale GPU-powered applications using a global network of distributed consumer GPUs. By leveraging unused compute resources across thousands of nodes, they offer high-performance GPU access at significantly lower costs compared to traditional cloud providers, making large-scale AI deployment more accessible and cost-efficient.
They provide a container-based workflow where users can deploy applications through distributed GPU orchestration, scalable compute resources, and edge-based processing, without managing virtual machines. The platform supports use cases like text-to-image generation, speech processing, computer vision, and large language models, allowing teams to scale workloads dynamically. With features such as usage-based pricing, global node distribution, and secure container environments, they help organizations reduce infrastructure costs while maintaining performance and flexibility.
And the best part? They offer free trial access along with usage-based pricing starting around $0.02/hour for GPU compute, with additional discounts available for high-volume usage.
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