Provider Overview
Strengths & Best For
IO.NET is a decentralized GPU network aggregating idle compute from data centers, crypto miners, and consumer hardware — including H100 and A100 — at prices typically well below traditional on-demand GPU cloud providers. The marketplace model enables batch AI inference, LLM training, and distributed workloads at dramatically reduced cost for teams comfortable with variable hardware reliability. A compelling option for crypto-native teams and cost-sensitive developers who can tolerate the trade-offs of a decentralized GPU network.
- Very low prices on H100 and A100
- Large pool of available GPUs
- Decentralized resilience
- Crypto-native billing
SwissGPU provides H100 and A100 GPU cloud compute from Switzerland with strict Swiss privacy law compliance and GDPR data sovereignty, making it the premium on-demand GPU cloud for regulated industries and privacy-sensitive AI workloads. Swiss infrastructure and stable, privacy-first operations make it a trusted choice for financial services, healthcare, and legal sectors that need GPU compute within Swiss jurisdiction. A top option for Swiss and EU enterprises that require the highest level of data privacy for AI training and inference.
- Swiss data sovereignty
- Privacy-first
- EU compliance
- Stable infrastructure
Live GPU Pricing
Region Coverage
Popular Comparisons
IO.NET — marketplace provider
IO.NET is a decentralized GPU network aggregating idle compute from data centers, crypto miners, and consumer hardware — including H100 and A100 — at prices typically well below traditional on-demand GPU cloud providers. The marketplace model enables batch AI inference, LLM training, and distributed workloads at dramatically reduced cost for teams comfortable with variable hardware reliability. A compelling option for crypto-native teams and cost-sensitive developers who can tolerate the trade-offs of a decentralized GPU network.
SwissGPU — specialist provider
SwissGPU provides H100 and A100 GPU cloud compute from Switzerland with strict Swiss privacy law compliance and GDPR data sovereignty, making it the premium on-demand GPU cloud for regulated industries and privacy-sensitive AI workloads. Swiss infrastructure and stable, privacy-first operations make it a trusted choice for financial services, healthcare, and legal sectors that need GPU compute within Swiss jurisdiction. A top option for Swiss and EU enterprises that require the highest level of data privacy for AI training and inference.
Billing model comparison
IO.NET uses a On-demand billing model with a minimum commitment of None. SwissGPU uses On-demand billing with a None minimum. Both providers offer flexible billing options — compare the live pricing table above to find the best rate for your specific GPU model and workload duration.
Which workloads each provider suits best
IO.NET is best suited for: Batch inference, Cost-sensitive training, Crypto-native teams. Its key strengths are very low prices on h100 and a100, large pool of available gpus, decentralized resilience. SwissGPU is best suited for: Privacy-sensitive AI, Swiss/EU enterprises, Regulated industries. Its key strengths are swiss data sovereignty, privacy-first, eu compliance. Marketplace providers aggregate GPU supply from multiple sources, often offering the lowest spot rates but with more variable availability and less predictable performance compared to dedicated providers.
Support tiers and region coverage
IO.NET offers Community support across 1 region (Various). SwissGPU offers Standard support across 1 region (CH). Both providers have comparable region coverage — choose based on which specific regions overlap with your user base or data residency requirements.
Provider background: IO.NET vs SwissGPU
IO.NET was founded in 2023 and is headquartered in San Francisco, CA. SwissGPU was founded in 2022 and is headquartered in Zurich, Switzerland. SwissGPU has 1 years more operational history than IO.NET, which may matter for teams evaluating provider stability and long-term contract risk. Use the live pricing table above to compare current on-demand and spot rates for specific GPU models, and the region map to verify coverage in your target geography.