SaladCloud
UnclaimedHarnessing 60,000+ daily active GPUs for affordable, scalable AI compute.
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TL;DR - SaladCloud
- Provides access to a vast network of consumer GPUs for AI and ML workloads.
- Offers significant cost savings (up to 90%) compared to traditional cloud providers.
- Utilizes a distributed, peer-to-peer model where GPU owners earn rewards for sharing compute.
Pricing: Paid only
Best for: Enterprises & pros
Pros & Cons
Pros
- Significantly lower GPU compute costs (up to 90% savings).
- Access to a large pool of consumer GPUs for high scalability.
- Environmentally friendly by utilizing latent compute resources.
- Flexible and customizable instance configurations.
- No charges for cold boot time or initialization processes.
Cons
- Relies on consumer-grade GPUs, which may not always match the specialized features of data center GPUs.
- Availability of specific GPU models might fluctuate based on user contributions.
- Free trial is only for the Transcription API, not the core GPU cloud service.
Key Features
Distributed GPU CloudOn-Demand ElasticityMulti-cloud Compatible Container EngineGlobal Edge NetworkCustomizable GPU, vCPU, and RAM instancesUsage-based pricing modelVolume discounts for 50+ GPU instancesSalad Transcription API with free trial
Pricing Plans
Free TrialGPU Usage
From $0.02/hour
- RTX/GTX GPUs
- Up to 90% less cost
- Connecting idle GPUs worldwide to compute-hungry businesses securely
Speech-to-Text API
From $0.10 per hour
- 91.13% accuracy powered by Whisper Large v3
- LLM-based insights using Llama 3 8B
Language Models (TGI)
$0.12 per Million tokens avg.
Language Models (Deploy own LLM)
$0.04/hr starting price
Language Models (Run 7 Billion parameter models)
$0.22/hr
About SaladCloud
By Toolradar Team·
SaladCloud is a distributed GPU cloud platform that leverages the world's unused consumer GPU resources to provide highly affordable and scalable compute power for AI and machine learning workloads. It connects idle GPUs from individual owners (referred to as "Chefs") to businesses requiring significant computational resources, offering costs up to 90% lower than traditional cloud providers. This unique peer-to-peer model democratizes access to high-performance computing, making it accessible for startups and enterprises alike to run inference, training, and other GPU-intensive tasks.
The platform is designed for AI teams and businesses looking to scale their operations without incurring high costs. It supports a variety of GPU-heavy workloads, including text-to-image generation, text-to-speech, speech-to-text, computer vision, and language models. GPU owners, in turn, earn rewards by sharing their idle compute power. SaladCloud emphasizes a secure, sustainable, and community-driven approach to cloud computing, providing on-demand elasticity and multi-cloud compatibility.
How we evaluate tools →Source: salad.com
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SaladCloud FAQ
How does SaladCloud achieve such low GPU pricing compared to major hyperscalers?
SaladCloud achieves its low pricing by tapping into the vast network of unused consumer GPUs from gamers and PC owners worldwide. This 'compute-sharing economy' model, similar to Airbnb for GPUs, creates a competitive marketplace that drives down costs, as it leverages existing hardware rather than requiring dedicated data center infrastructure.
What types of GPUs are available on SaladCloud, and can I customize their configurations?
SaladCloud offers thousands of Nvidia GPU instances, including models like RTX 5090, RTX 4090, RTX 3090 Ti, and various other RTX/GTX series GPUs. All instances are fully customizable, allowing users to specify their exact requirements for GPU type, VRAM, vCPUs, and RAM to match their workload needs.
Does SaladCloud charge for the time it takes to set up or initialize a container instance?
No, SaladCloud does not charge for the initialization process. This includes the time spent selecting hardware, downloading, and loading containers. Charges only begin once your container is actively running and the hardware is available for your application's use.
How does SaladCloud ensure the security of workloads running on a distributed network of consumer PCs?
SaladCloud implements robust security measures to protect workloads. While specific details on the security architecture for isolating workloads on consumer PCs are not fully detailed, the platform emphasizes its commitment to security for both customers and 'Chefs' (GPU owners), ensuring a safe environment for deploying applications.
Can I use SaladCloud for both inference and training AI models, or is it primarily optimized for one over the other?
SaladCloud is suitable for both inference and training AI models. Customer testimonials highlight its use for serving inference on millions of images daily and training thousands of LoRAs monthly. The platform's low-cost, high-scale community cloud is designed for seamless AI project scaling, making it versatile for various GPU-heavy AI/ML production workloads.
What is the 'Salad Container Engine' and how does it integrate with existing cloud configurations?
The Salad Container Engine is a managed orchestration platform that provides access to GPU-powered containers. It allows users to deploy workloads without managing VMs or individual instances. It is designed to be multi-cloud compatible, meaning you can deploy Salad Container Engine workloads alongside your existing hybrid or multi-cloud configurations, offering flexibility in your infrastructure.
Source: salad.com