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
- Marketplace model — hardware quality varies by host
- No enterprise SLAs or uptime guarantees
- Not suitable for compliance-sensitive workloads
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Modal is a serverless GPU cloud purpose-built for AI workloads, offering per-second billing with zero idle cost. GPU catalog: B300, B200, H200 SXM, H100 SXM5, RTX PRO 6000, A100 80GB, A100 40GB, L40S, A10, L4, T4. Starter and Team plans include free monthly compute credits. Multi-node training up to 128 B200s with 3,200 Gbps InfiniBand. Python-native SDK. SOC 2 and HIPAA compliant.
- B300, B200, H200 — competitive Blackwell/Hopper pricing
- Per-second billing with zero idle cost — no minimum hours
- Multi-node training up to 128 B200s with 3,200 Gbps InfiniBand
- Python-native SDK — no infra management
- Starter and Team plans include free monthly compute credits
- SOC 2, HIPAA, data residency controls
- Less control over underlying infrastructure vs raw VMs
- Pricing can be unpredictable for sustained high-throughput workloads
- Smaller GPU catalog than dedicated cluster providers
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Key differences
IO.NET
Decentralized GPU network — access idle GPUs at below-market rates
Modal
B300, B200, H200, H100 — serverless GPU, per-second billing