Salad - GPU Cloud | 10k+ GPUs for Generative AI

Save up to 90% on your cloud bills. Deploy AI/ML production models easily. 600% more images & 10x more inferences per dollar. Try SaladCloud for free today.

Salad - GPU Cloud | 10k+ GPUs for Generative AI

Introducción

What is Salad?

Salad is a GPU cloud platform that provides access to a vast array of AI technologies for various needs, including image generation, text-to-speech, speech-to-text, computer vision, and language models.

How can I use Salad for my AI workloads?

Every user can utilize Salad's AI services without the need for a managed service subscription. By leveraging Salad's distributed cloud, users can explore a vast range of AI-powered tools to support various tasks.

Features of Salad

Scalability

Scale easily to thousands of GPU instances worldwide without the need to manage VMs or individual instances, all with a simple usage-based price structure.

Cost-Effective

Save up to 90% on your cloud cost compared to managed services and hyperscalers.

Security

SaladCloud is SOC2 certified, and our patented approach isolates customer environments and data across our network.

Sustainability

Democratization of cloud computing is the key to a sustainable future, and deploying on unused, latent GPUs lessens the environmental impact.

Pricing

GPU prices starting from $0.02/hr. Use our calculator to see how much you save on your current cloud cost.

Use Cases

Image Generation

Get 10X more images per dollar compared to other clouds.

Text-to-Speech

Serve TTS inference on Salad's consumer GPUs and get 10X-2000X more inferences per dollar.

Speech-to-Text

Serve speech-to-text inference on Salad for up to 90% less cost.

Computer Vision

Simplify and automate the deployment of computer vision models like YOLOv8 on 10,000+ consumer GPUs on the edge. Save 50% or more on your cloud cost compared to managed services/APIs.

Language Models

Running Large Language Models (LLM) on Salad is a convenient, cost-effective solution to deploy various applications without managing infrastructure or sharing compute.

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