QuantaCloud vs Shadeform: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for QuantaCloud and Shadeform. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
QuantaCloud provides bare-metal A100, H100, H200, and B300 GPU clusters with InfiniBand interconnect and no virtualization overhead, purpose-built for large-scale LLM training and multi-node distributed AI workloads. Reserved and cluster configurations are available for organizations that need dedicated GPU infrastructure with consistent performance for long-running training runs. A specialist bare-metal GPU cloud for AI labs and enterprises that need maximum cluster performance for frontier model training.
- Bare-metal performance
- InfiniBand networking
- Large cluster configs
- H200 and B300 availability
- Bare-metal focused — requires more infrastructure management
- Limited self-service tooling
- Smaller ecosystem vs cloud providers
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Shadeform is a GPU cloud aggregator that provisions H100, A100, RTX 4090, and many other GPU types across 30+ underlying cloud providers through a single unified API, automatically routing to the cheapest available instance matching your requirements. On-demand and spot GPU rental options are surfaced from the entire provider network, giving teams multi-cloud flexibility without managing multiple accounts. A fast way to find and launch low-cost GPUs for AI training or inference workloads.
- 30+ provider network via single API
- Automatic cheapest-price routing
- Wide GPU selection across providers
- Multi-cloud flexibility without multiple accounts
- Aggregator — pricing and availability depends on underlying providers
- No direct infrastructure control
- Limited enterprise features
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Key differences
QuantaCloud
Bare-metal GPU cloud with A100, H100, and H200 clusters
Shadeform
GPU cloud aggregator — launch GPUs across 30+ providers via one API