SaladCloud

SaladCloud: Unleash the Power of Distributed GPU Computing for AI/ML

What is SaladCloud? SaladCloud is a distributed GPU cloud platform that allows businesses to deploy AI/ML production models at scale securely while significantly reducing compute costs. By harnessing the power of underutilized consumer GPUs, SaladCloud offers a cost-effective alternative to traditional hyperscalers and high-end GPUs.

How does SaladCloud work? SaladCloud operates on a compute-sharing economy model. It activates latent compute resources from idle consumer GPUs and makes them available to businesses for AI/ML workloads. This approach not only lowers costs but also promotes a greener and more sustainable computing environment.

Key Features and Benefits:

• Significant Cost Savings: Save up to 90% on compute costs compared to traditional cloud providers.
• Scalability: Scale AI/ML projects seamlessly with access to thousands of GPU instances worldwide.
• Security: Deploy workloads securely with redundant security and compliance measures, including SOC2 certification.
• Ease of Use: Simplify container development with Salad Container Engine (SCE), a massively scalable orchestration engine.
• Global Edge Network: Bring workloads to the brink on low-latency edge nodes located globally.
• Optimized Usage Fees: Experience flexible pricing tailored to your usage.
• Multi-cloud Compatibility: Deploy Salad Container Engine workloads alongside existing hybrid or multi-cloud configurations.

Use Cases:

SaladCloud is perfect for various GPU-heavy workloads, including:

• AI Inference: Run inference on over 600 consumer GPUs to deliver millions of images per day.
• Batch Processing: Distribute data batch jobs, HPC workloads, and rendering queues to thousands of 3D accelerated GPUs.
• Molecular Dynamics: Perform molecular simulations efficiently and cost-effectively.
• Text-to-Image Generation: Generate images quickly with pre-built containers on RTX 5090 GPUs.
• Computer Vision: Power computer vision applications with affordable GPU resources.
• Language Models: Train and deploy language models at scale.
• Text-to-Speech and Speech-to-Text: Applications requiring these services.

Why Choose SaladCloud?

• Lower Total Cost of Ownership (TCO): Reduce TCO by containerizing applications and leveraging SaladCloud's managed services.
• Unmatched Inference Prices: Achieve up to 10X more inferences per dollar compared to other clouds.
• Sustainable Computing: Utilize unused GPUs to lessen environmental impact and promote democratization of cloud computing.

Real-World Examples and Testimonials:

• Civitai: Saved costs and achieved incredible scalability by switching to SaladCloud for inference.
• Blend: Cut AI inference costs by 85% and achieved 3X more scale by using consumer GPUs on SaladCloud.
• Klyne.ai: Gained access to thousands of GPUs at better cost-efficiency and received excellent customer support.

How to Get Started:

1. Containerize your AI/ML model and inference server.
2. Choose the desired hardware resources on SaladCloud.
3. Deploy the workload and let SaladCloud handle the orchestration.

SaladCloud FAQs

• What kind of GPUs does SaladCloud have? All GPUs on SaladCloud belong to the RTX/GTX class of GPUs from Nvidia. We only onboard AI-enabled, high-performance compute-capable GPUs to the network.
• How does security work on SaladCloud? SaladCloud employs multiple security layers to keep your containers safe, encrypting them in transit and at rest. Containers run in an isolated environment on our nodes.
• What are some unique traits of SaladCloud? As a compute-share network, SaladCloud GPUs may have longer cold start times than usual and are subject to interruption. The highest vRAM on the network is 24 GB.
• What is Salad Container Engine (SCE)? SCE simplifies container development for SaladCloud deployments. Containerize your model and inference server, choose the hardware, and we'll handle the rest.
• How does SaladCloud work? Users running workloads select the GPU types and quantity. SaladCloud handles all the orchestration and ensures uninterrupted GPU time as per requirements.
• Why do owners share GPUs with SaladCloud? Owners earn rewards (in the form of Salad balance) for sharing their compute.

Conclusion:

SaladCloud offers a compelling solution for businesses seeking affordable, scalable, and secure GPU computing for AI/ML workloads. By leveraging the power of distributed consumer GPUs, SaladCloud democratizes access to compute resources and promotes a more sustainable future for AI innovation. With its cost-effectiveness, scalability, and ease of use, SaladCloud is a game-changer in the cloud computing landscape. If you are finding a way to deploy AI/ML production models at scale securely while significantly reducing compute costs, SaladCloud would be your best choice.