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IO.NET vs Cerebrium: GPU Compute Price Comparison

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for IO.NET and Cerebrium. Updated July 2026.

Provider Overview

Provider type
Marketplace
Specialist
Founded
2023
2022
Headquarters
San Francisco, CA
Cape Town, South Africa
Billing model
On-demand
Per-second usage
Min commitment
None
None
Support tier
Community
Standard
Regions
1 regions
2 regions

Strengths & Best For

IO.NET

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.

Strengths
  • Very low prices on H100 and A100
  • Large pool of available GPUs
  • Decentralized resilience
  • Crypto-native billing
Best For
Batch inferenceCost-sensitive trainingCrypto-native teams
Visit IO.NET
Cerebrium

Cerebrium is a serverless ML infrastructure platform that deploys H100, A100, and T4 GPU workloads in seconds using custom containers, enabling real-time LLM inference and fine-tuned model serving without managing any infrastructure. Per-second billing and fast cold starts make it highly cost-efficient for bursty AI inference APIs and model deployment pipelines. A top choice for ML teams that want to ship production inference endpoints quickly with minimal DevOps overhead.

Strengths
  • Serverless deployment
  • Fast cold starts
  • Custom containers
  • Simple pricing
Best For
Real-time inference APIsModel deploymentServerless AI
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Live GPU Pricing

No live pricing data available for these providers right now. View all live GPU prices →

Region Coverage

Popular Comparisons

IO.NETmarketplace 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.

Cerebriumspecialist provider

Cerebrium is a serverless ML infrastructure platform that deploys H100, A100, and T4 GPU workloads in seconds using custom containers, enabling real-time LLM inference and fine-tuned model serving without managing any infrastructure. Per-second billing and fast cold starts make it highly cost-efficient for bursty AI inference APIs and model deployment pipelines. A top choice for ML teams that want to ship production inference endpoints quickly with minimal DevOps overhead.

Billing model comparison

IO.NET uses a On-demand billing model with a minimum commitment of None. Cerebrium uses Per-second usage 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. Cerebrium is best suited for: Real-time inference APIs, Model deployment, Serverless AI. Its key strengths are serverless deployment, fast cold starts, custom containers. 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). Cerebrium offers Standard support across 2 regions (US, EU). Cerebrium's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.

Provider background: IO.NET vs Cerebrium

IO.NET was founded in 2023 and is headquartered in San Francisco, CA. Cerebrium was founded in 2022 and is headquartered in Cape Town, South Africa. Cerebrium 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.