Salad is a distributed GPU cloud platform that connects unused consumer-grade GPU resources to organizations needing affordable and scalable compute for AI and machine learning workloads. Salad enables AI/ML companies to access a large pool of on-demand GPUs for inference at a fraction of traditional cloud costs.
SaladCloud—the company's primary offering—provides access to over 10,000 consumer GPUs worldwide, supporting any AI framework or application without requiring extra development work. By leveraging the latent compute power of consumer devices, Salad offers a cost-effective alternative to conventional, enterprise-focused GPU clouds, which are often expensive and in short supply.
The Salad desktop application allows individuals to securely share their computer's GPU, CPU, and bandwidth resources with Salad's distributed network. In return, these users—known as "Salad Chefs"—receive rewards such as video games, gift cards, streaming subscriptions, PayPal credits, and other digital or real-world items. According to Salad, over 3 million rewards are redeemed annually on the Salad Storefront.
How was Salad started?
Salad was founded by Bob Miles (Founder & CEO). The company's leadership and advisory network includes individuals like Justin Maier (Civitai), Jamsheed Kamardeen (Blend), and Zachary Lawrence (Klyne.ai), who have leveraged SaladCloud for its affordability and efficiency in AI workloads. The company is headquartered in Salt Lake City, Utah, and operates as a privately held business with a team of 11-50 employees. Learn more on their About page.
Who uses Salad?
Salad primarily serves AI/ML organizations and enterprises seeking scalable and low-cost GPU access, including:
- Civitai
- Blend
- Klyne.ai
- Pareto
- Datasembly
- Discord
- Stability AI
- Undetectable AI
These customers utilize SaladCloud to run large-scale AI inference, model hosting, and other compute-intensive workloads.
What makes Salad different?
Salad stands out by tapping into the global pool of unused consumer GPUs, offering a distributed compute network at a lower price point and greater scalability than traditional cloud providers. The mutual exchange model incentivizes individuals to contribute compute resources while providing enterprises with flexible, framework-agnostic access to GPUs.
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