Description
Salad redefines cloud computing by unlocking the world's largest AI compute power, distributed across a global network of over 60,000 daily active GPUs. This community-driven cloud offers significantly lower costs, with prices starting as low as $0.02 per hour, providing substantial savings of up to 90% compared to traditional hyperscalers.
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Salad is built for seamless AI project scaling, enabling businesses to deploy AI/ML production models, perform AI inference, handle batch processing, and run demanding workloads like molecular dynamics with unparalleled cost-efficiency. The platform leverages AI-enabled consumer GPUs, offering a superior cost-performance ratio for many use cases compared to datacenter GPUs.
The Salad Container Engine (SCE) allows users to deploy workloads easily without managing virtual machines or individual instances. This fully managed container service ensures on-demand elasticity, allowing workloads to scale effortlessly with dynamic resource allocation to meet fluctuating demands. Salad's global edge network brings compute closer to users with low-latency nodes located worldwide, enhancing performance and reliability.
Salad is ideal for a wide range of GPU-heavy workloads, including text-to-image generation, text-to-speech, speech-to-text, computer vision, and language models. The platform boasts features like multi-cloud compatibility, allowing integration with existing hybrid or multi-cloud configurations, and optimized usage fees with transparent, usage-based pricing and no pre-paid contracts or commitments.
Security is a priority, with a patented approach that isolates customer environments and data across the network. SaladCloud is SOC2 certified, ensuring a secure and reliable deployment environment. By utilizing unused, latent GPUs, Salad promotes a sustainable approach to computing, democratizing access to compute power and reducing environmental impact.
Customers like Civitai, Blend, and Klyne.ai have reported significant cost reductions and improved scalability by switching to SaladCloud. The platform's commitment to affordability, scalability, and customer-friendliness makes it an attractive option for startups and businesses looking to optimize their cloud compute expenses.
- CategoryMLOps & Model Deployment
- Pricing ModelUsage-based
- DeploymentCloud
- PlatformsWeb
Salad Distributed GPU Cloud's Core Features
Distributed GPU cloud with 60,000+ daily active GPUs
Low-cost GPU instances starting from $0.02/hour
Up to 90% cost savings compared to hyperscalers
Seamless AI project scaling
Supports AI inference, batch processing, and HPC workloads
Global edge network with low-latency nodes
Salad Container Engine (SCE) for easy deployment
On-demand elasticity and dynamic resource allocation
Multi-cloud compatible
Usage-based pricing with no contracts or commitments
SOC2 certified for security
No ingress/egress data costs
Fully managed container service
Infinite scalability for GPU access
How to use Salad Distributed GPU Cloud?
Deploy: Containerize your application and define resource requirements.
Configure: Select your desired GPU resources and deployment settings.
Launch: Initiate your workload on the distributed GPU network.
Monitor: Track performance and costs through the Salad dashboard.
Scale: Adjust resources dynamically based on real-time demand.
Salad Distributed GPU Cloud's Use Cases
- AI Inference
- Text to Image Generation
- Text to Speech
- Speech to Text
- Computer Vision
- Language Models
- Batch Processing
- HPC Workloads
- Rendering
