BlackSkye View Providers
Provider detail

Salad

Salad transforms idle consumer GPUs into a distributed cloud network, offering affordable compute resources for AI/ML inference tasks.

Headquartered
USA
Compute Trust Index
7.9
Company Type
Private
Founders
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Bob S.
GPU types
Distributed RTX 20/30/40 series from idle PCs.
Supported workflows
ML inference, gaming server workloads, content rendering.
Best for
Gamers
  • Distributed GPU supply from gamers worldwide
  • Network-level workload scheduling
  • Transparent consumer-grade node specs
  • Free-to-join compute sharing
  • Strong community growth & engagement
  • Significant cost savings (up to 90%)
  • Proof-of-compute trust metrics
  • Gamified dashboard for contributors
  • Webhooks and API support
  • Job replication for redundancy
BlackSkye FAQ

Frequently Asked Questions

General What is BlackSkye?
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BlackSkye is a decentralized GPU marketplace that helps you run AI and rendering jobs on high-performance nodes — with real-time pricing, live benchmarks, and trust scores built in. Think: Expedia for compute.
Comparison How is this different from AWS, GCP, or other clouds?
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We focus on transparency and price-performance, not opaque pricing models. You pay per job, not per VM — and see live data before you run. Plus, we include indie and idle providers not available on major clouds.
Workloads What kinds of jobs can I run on BlackSkye?
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BlackSkye supports a range of GPU-heavy workloads like:

• AI training (e.g., LLaMA, LoRA, DreamBooth)
• Inference at scale (e.g., chatbots, image generation)
• Rendering (Blender, Octane, Unreal Engine)
• Custom ML pipelines and Dockerized tasks
Security Is it safe to run my job on third-party nodes?
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Yes. We vet all providers and assign trust scores based on uptime, job success rate, and user reviews. You can also select privacy tiers like hybrid or fully isolated environments for sensitive work.
Pricing How much does it cost to use BlackSkye?
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You only pay for what you use. Pricing is dynamic and visible up front — no hidden fees, no devops overhead. Most users report savings of 30–70% compared to traditional cloud platforms.