Salad - 分布式 GPU 云 | 每日活跃 11,000+ 块 GPU，起步价每小时 $0.02

Save up to 90% on cloud costs compared to hyperscalers. Deploy AI/ML production models easily on the world's largest distributed cloud. Perfect for AI inference, batch processing, molecular dynamics & more...

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Salad - 分布式 GPU 云 | 每日活跃 11,000+ 块 GPU，起步价每小时 $0.02

Introduction

What is SaladCloud?

SaladCloud is a distributed GPU cloud platform designed to democratize access to high-performance computing resources. It leverages unused GPU capacity from consumer-grade hardware, offering a cost-effective solution for businesses and developers. By harnessing the power of idle GPUs worldwide, SaladCloud provides a sustainable and scalable infrastructure for various AI and machine learning workloads.

Main Features of SaladCloud

  • Access to 11,000+ Daily Active GPUs: SaladCloud offers a vast network of consumer GPUs, providing scalable resources for diverse computing needs.

  • Cost-Effective Pricing: Starting from $0.02 per hour, SaladCloud ensures significant cost savings compared to traditional cloud providers.

  • Global Scalability: Easily deploy and scale workloads across thousands of GPUs worldwide without managing individual instances.

  • Integrated Security Measures: Ensures data protection through isolated environments and advanced intrusion detection.

  • Diverse Use Cases: Supports text-to-image, text-to-speech, speech-to-text, computer vision, and language models.

How to Use SaladCloud

  1. Sign Up: Create an account on SaladCloud to access the platform.

  2. Deploy Models: Utilize the Salad Container Engine (SCE) to deploy your models and applications.

  3. Leverage GPU Resources: Access a network of distributed GPUs to run your workloads efficiently.

Pricing

  • GPU Costs: Starting at $0.02 per hour for RTX/GTX GPUs.

  • Volume Discounts: Obtain further discounts for high-volume usage.

  • Pricing Calculator: Use the calculator tool to estimate costs and optimize your budget.

Helpful Tips

  • Optimize Costs: Prioritize high-volume tasks during off-peak hours to maximize savings.

  • Leverage Edge Nodes: Utilize global edge nodes to reduce latency and enhance performance.

  • Rightsize GPUs: Select appropriate GPU types to match workload requirements, balancing cost and performance.

  • Monitor Usage: Regularly track resource consumption to avoid over-provisioning and manage expenses.

  • Combine Services: Integrate with existing infrastructure using multi-cloud compatibility for seamless operations.

Frequently Asked Questions

What GPUs are Available on SaladCloud?

SaladCloud utilizes RTX and GTX class GPUs, ensuring high performance for AI workloads.

How Secure is SaladCloud?

Security is maintained through isolated container environments and continuous monitoring, with SOC2 certification.

What Makes SaladCloud Unique?

It's a compute-sharing network with longer cold start times but offers cost-efficiency and scalability.

How Does the Salad Container Engine Work?

SCE simplifies deployment by managing orchestration, allowing you to focus on your applications without VM management.

Why Share GPUs with SaladCloud?

Owners earn rewards, redeemable for gift cards and more, by contributing their idle GPU resources.

What if a Host Tries to Access My Container?

Advanced security measures detect and prevent unauthorized access, ensuring data integrity.

How is GPU Performance Ensured?

A proprietary trust system indexes node performance and reallocates workloads upon hardware failure.

For more details, visit the SaladCloud Documentation.