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Shadeform vs Prime Intellect: GPU Compute Price Comparison

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Shadeform and Prime Intellect. Updated July 2026.

Provider Overview

Provider type
Marketplace
Marketplace
Founded
2023
2024
Headquarters
San Francisco, CA
San Francisco, CA
Billing model
On-demand, Spot
On-demand, Reserved
Min commitment
None
None
Support tier
Community → Enterprise
Community
Regions
4 regions
2 regions

Strengths & Best For

Shadeform

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. The fastest way to find and launch the lowest-cost GPU for any AI training or inference workload.

Strengths
  • 30+ provider network
  • Single API
  • Automatic cheapest-price routing
  • Wide GPU selection
Best For
Teams wanting multi-cloud flexibilityCost-optimized provisioningSpot-tolerant workloads
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Prime Intellect

Prime Intellect is a decentralized compute platform purpose-built for large-scale distributed AI training, enabling teams to rent H100 and A100 clusters aggregated from data centers globally. Known in the open-source AI community for powering collaborative training runs of frontier open-weight models, Prime Intellect offers competitive cluster pricing with a focus on high-bandwidth interconnects for distributed workloads. Its PRIME protocol coordinates compute across providers, making it a unique option for teams running multi-node training jobs that benefit from flexible, aggregated GPU capacity.

Strengths
  • Decentralized multi-provider H100 clusters
  • Strong open-source AI community adoption
  • Competitive pricing for large distributed training runs
  • PRIME protocol for coordinated cross-datacenter compute
Best For
Large-scale distributed LLM pre-trainingOpen-source AI research collaborationsTeams needing flexible multi-node GPU clustersCost-sensitive frontier model training
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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

Shadeformmarketplace provider

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. The fastest way to find and launch the lowest-cost GPU for any AI training or inference workload.

Prime Intellectmarketplace provider

Prime Intellect is a decentralized compute platform purpose-built for large-scale distributed AI training, enabling teams to rent H100 and A100 clusters aggregated from data centers globally. Known in the open-source AI community for powering collaborative training runs of frontier open-weight models, Prime Intellect offers competitive cluster pricing with a focus on high-bandwidth interconnects for distributed workloads. Its PRIME protocol coordinates compute across providers, making it a unique option for teams running multi-node training jobs that benefit from flexible, aggregated GPU capacity.

Billing model comparison

Shadeform uses a On-demand, Spot billing model with a minimum commitment of None. Prime Intellect uses On-demand, Reserved 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

Shadeform is best suited for: Teams wanting multi-cloud flexibility, Cost-optimized provisioning, Spot-tolerant workloads. Its key strengths are 30+ provider network, single api, automatic cheapest-price routing. Prime Intellect is best suited for: Large-scale distributed LLM pre-training, Open-source AI research collaborations, Teams needing flexible multi-node GPU clusters, Cost-sensitive frontier model training. Its key strengths are decentralized multi-provider h100 clusters, strong open-source ai community adoption, competitive pricing for large distributed training runs. 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

Shadeform offers Community → Enterprise support across 4 regions (US, EU, APAC and 1 more). Prime Intellect offers Community support across 2 regions (US, EU). Shadeform's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.

Provider background: Shadeform vs Prime Intellect

Shadeform was founded in 2023 and is headquartered in San Francisco, CA. Prime Intellect was founded in 2024 and is headquartered in San Francisco, CA. Shadeform has 1 years more operational history than Prime Intellect, 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.