Salad - GPU Cloud

Product Overview
SaladCloud is a revolutionary distributed GPU cloud platform designed to redefine cost efficiency and scalability in high-performance computing. By leveraging underutilized global GPU resources, it offers users access to over 60,000 daily active GPUs at competitive rates—starting as low as $0.02 per hour. This makes it an ideal solution for AI/ML inference, batch processing, scientific simulations (e.g., molecular dynamics), and other compute-intensive tasks. Unlike traditional hyperscaler services, SaladCloud’s model taps into a network of shared hardware, reducing expenses by up to 90% while maintaining performance and security.

Core Features

Distributed GPU Cloud

SaladCloud transforms idle GPUs worldwide into a unified, on-demand computing network. This decentralized infrastructure ensures flexibility and reliability without compromising speed.

Cost-Effective Pricing

With hourly rates significantly lower than industry leaders, SaladCloud enables budget-friendly access to GPU resources, ideal for startups, researchers, and developers.

Scalable Compute Resources

Seamlessly scale up or down based on workload demands. The platform dynamically allocates GPUs, ensuring you only pay for what you use.

Secure Deployment

Applications and data are containerized and deployed across trusted hosts, protected by robust encryption and isolation protocols.

Container Engine

Simplify deployment with Salad Container Engine (SCE), which automates the management of containerized workloads for AI/ML, batch jobs, and more.

Transcription API

Convert audio to text with high accuracy, supporting voice AI and data processing workflows.

Gateway Service

Streamline access to external resources through a centralized API gateway, enhancing integration capabilities.

Virtual Kubelets

Deploy Kubernetes-managed applications without hardware maintenance, scaling containers across SaladCloud’s GPU network.

Use Cases

AI/ML Model Inference: Train and deploy models efficiently using affordable GPU clusters.

Voice AI Development: Utilize the Transcription API for speech-to-text applications, reducing latency and costs.

Computer Vision Projects: Accelerate image and video analysis with scalable GPU resources.

Data Collection & Processing: Handle large datasets and batch computations without infrastructure overhead.

Molecular Dynamics Simulations: Run complex scientific workloads at a fraction of the cost.

Language Model Training: Access high-performance GPUs to optimize NLP model development.

Frequently Asked Questions

What types of GPUs are available?

SaladCloud partners with a diverse network of hardware providers, offering modern NVIDIA GPUs suited for various workloads.

How is security ensured?

All deployments use container isolation, encrypted data transfer, and host vetting to protect applications and user data.

What makes SaladCloud unique?

Its people-powered model activates latent GPUs globally, combining cost savings with community-driven infrastructure.

How does Salad Container Engine (SCE) work?

SCE automates container orchestration, managing GPU allocation, scaling, and workload execution.

Why do GPU owners share resources?

Hosts earn rewards by contributing unused GPU hours, creating a mutually beneficial ecosystem.

Can hosts access my containers?

No—containers are secured with isolation protocols, ensuring hosts cannot interfere with user workloads.

How do I verify GPU performance?

SaladCloud tracks real-time metrics and provides performance guarantees. If a GPU goes offline, it’s automatically replaced.

Are there volume discounts?

Yes, extended usage or bulk GPU requests qualify for tiered pricing models.

Is there a free trial?

While no trial is offered, the low base rate of $0.02/hour allows users to test workloads affordably.

How are prices so low?

By utilizing shared, underutilized GPUs rather than maintaining in-house hardware, SaladCloud minimizes overhead.

When are charges applied?

Billing starts only when a GPU is actively processing a task, not during provisioning or idle time.