Salad - GPU Cloud offers the lowest-cost distributed GPU computing, starting at just $0.02/hour. Access 60,000+ daily active GPUs worldwide, saving up to 90% vs. hyperscalers. Perfect for AI inference, batch processing, and scalable workloads with unmatched cost-efficiency.
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Published:
2024-09-08
Created:
2025-04-27
Last Modified:
2025-04-27
Published:
2024-09-08
Created:
2025-04-27
Last Modified:
2025-04-27
Salad - GPU Cloud Product Information
What is Salad - GPU Cloud?
Salad - GPU Cloud is a distributed cloud computing platform that connects idle GPUs worldwide to offer low-cost, high-performance computing for AI, ML, and other GPU-heavy workloads. With over 60,000 daily active GPUs starting at $0.02/hour, it provides scalable, cost-effective solutions for businesses while rewarding GPU owners for sharing their resources.
Who will use Salad - GPU Cloud?
Salad - GPU Cloud is ideal for AI teams, startups, researchers, and businesses needing affordable GPU resources for tasks like AI inference, batch processing, and rendering. It’s also used by individual GPU owners who want to monetize idle hardware by earning rewards like gift cards or gaming credits.
How to use Salad - GPU Cloud?
- Sign up on SaladCloud and containerize your workload using Docker.
- Select your preferred GPU type and quantity via the platform.
- Deploy your workload; SaladCloud handles orchestration and scaling automatically.
- Monitor performance and costs through the dashboard.
- For high-volume use, contact sales for discounted pricing and committed contracts.
In what environments or scenarios is Salad - GPU Cloud suitable?
Salad - GPU Cloud excels in AI/ML inference, batch processing, rendering, and distributed computing tasks. It’s perfect for startups scaling AI models, researchers running simulations, or businesses avoiding hyperscaler costs. Its geo-distributed nodes also ensure high availability for global workloads, though it’s less suited for ultra-low-latency applications.
Salad - GPU Cloud Features & Benefits
What are the core features of Salad - GPU Cloud?
- Distributed GPU network: Access 60,000+ daily active GPUs across 191 countries.
- Cost-effective pricing: Starting at $0.02/hour, with savings up to 90% vs. hyperscalers.
- Scalability: Seamlessly scale AI/ML workloads to thousands of GPUs without VM management.
- Security: SOC2-certified with isolated containers and intrusion detection.
- Global edge network: Low-latency nodes for geo-distributed workloads.
What are the benefits of using Salad - GPU Cloud?
- Massive cost savings: Up to 90% cheaper than traditional cloud providers like Azure.
- High scalability: Ideal for AI inference, batch processing, and rendering at scale.
- Sustainability: Utilizes idle GPUs, reducing environmental impact.
- Flexible pricing: Pay-as-you-go model with no long-term commitments.
- Rewards for providers: GPU owners earn income by sharing unused resources.
What is the core purpose and selling point of Salad - GPU Cloud?
- Democratizing GPU access: Breaks Big Tech’s monopoly with affordable, decentralized compute.
- Lowest-cost AI/ML infrastructure: Unbeatable pricing for inference and training.
- Community-driven model: Connects businesses to idle GPUs worldwide.
- Simplified deployment: No VM management or DevOps overhead.
- Proven reliability: Trusted by 100s of companies for scalable workloads.
What are typical use cases for Salad - GPU Cloud?
- AI/ML inference: Run models like SDXL or Llama 3 cost-effectively.
- Batch processing: Distribute HPC workloads across thousands of GPUs.
- Rendering: Accelerate 3D rendering queues with consumer-grade GPUs.
- Voice/text processing: Convert audio/text at scale (e.g., Whisper, Bark TTS).
- Startups & SMBs: Affordable scaling for resource-heavy projects.
FAQs about Salad - GPU Cloud
What is Salad - GPU Cloud and how does it work?
Salad - GPU Cloud is a distributed cloud computing platform that connects idle GPUs worldwide to businesses needing affordable AI compute. It works by allowing GPU owners to share their unused resources in exchange for rewards, while businesses access these GPUs at low costs (starting at $0.02/hour). SaladCloud handles orchestration, security, and scalability, making it ideal for AI inference, batch processing, and other GPU-heavy workloads.
How much can I save by using Salad - GPU Cloud compared to traditional cloud providers?
Salad - GPU Cloud offers up to 90% cost savings compared to hyperscalers like Azure or AWS. For example, benchmarks show 3,405 SDXL images per dollar and 73% lower costs for object detection versus Azure. High-volume users can request discounted pricing for even greater savings.
What types of GPUs are available on Salad - GPU Cloud?
Salad - GPU Cloud exclusively offers Nvidia RTX/GTX class GPUs, all AI-enabled and performance-tested. The network has over 60,000 daily active GPUs with vRAM up to 24GB. Strict selection criteria ensure reliable performance for AI/ML workloads.
Is Salad - GPU Cloud secure for running sensitive workloads?
Yes, Salad - GPU Cloud is SOC2 certified with multiple security layers. Containers are encrypted in transit/at rest and run in isolated environments. The platform uses host intrusion detection and automatically blacklists suspicious nodes, with Falco integration for additional runtime security checks.
What are the best use cases for Salad - GPU Cloud?
Salad - GPU Cloud excels at AI inference (text-to-image, LLMs, voice synthesis), batch processing, and rendering. Case studies show success with Stable Diffusion (10M images/day), LoRA training (15K/month), and NLP tasks at 10X more inferences per dollar than traditional clouds.
How does pricing work on Salad - GPU Cloud?
Salad - GPU Cloud uses usage-based pricing starting at $0.02/hour for RTX/GTX GPUs, with no ingress/egress fees. The platform offers a pricing calculator for estimates, and volume discounts are available for committed contracts or long-running jobs exceeding 10 GPUs.
Can I run my own AI models on Salad - GPU Cloud?
Absolutely. Salad - GPU Cloud supports custom models via Docker containers using their Salad Container Engine (SCE). You containerize your model, select hardware requirements, and SCE handles deployment across the global network without VM management.
What happens if a GPU goes offline during my workload?
Salad - GPU Cloud's orchestration system automatically reallocates workloads to equivalent GPUs if a node goes offline. The platform uses a proprietary trust rating system to forecast availability and ensure minimal disruption to running jobs.
How does Salad - GPU Cloud achieve such low prices compared to hyperscalers?
By leveraging idle consumer GPUs worldwide rather than expensive data centers, Salad - GPU Cloud reduces infrastructure costs dramatically. The distributed model eliminates overhead from big tech monopolies, passing savings to users while compensating hardware owners fairly.
What makes Salad - GPU Cloud different from traditional cloud providers?
Salad - GPU Cloud uniquely combines distributed computing with AI optimization. Unlike hyperscalers, it offers no-VM management, zero data transfer fees, and elastic scaling across 450K+ global nodes. The platform specializes in cost-efficient inference at scale while maintaining enterprise-grade security.
Salad - GPU Cloud Company Information
Company Name:
Salad Technologies
Website:
Analytics of Salad - GPU Cloud
Traffic Statistics
601.6K
Monthly Visits
2.9
Pages Per Visit
43.53%
Bounce Rate
152
Avg Time On Site
Monthly Visits
User Country Distribution
Top 5 Regions
US
33.35%
IN
7.97%
CH
5.48%
CA
4.71%
IT
4.07%
Traffic Sources
Social
3.68%
Paid Referrals
1.23%
0.04%
Referrals
5.66%
Search
33.44%
Direct
55.96%
Top Keywords
| Keyword | Search Volume | Cost Per Click | Estimated Value |
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| salad | 234.5K | $0.65 | $9.6K |
| salad mining | 3.2K | $1.25 | $1.1K |
| comfyui docker | 3.9K | $-- | $927 |
| salad cloud | 1.5K | $1.09 | $914 |
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