AI Compute Providers

Browse verified GPU cloud and AI infrastructure providers worldwide.

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Civo

Best for Kubernetes-native AI applications, Developer deployments

A100L40SA4000📍 UK, US
from$0.20/ hr 8.8/10
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Crusoe Cloud

Best for Environmentally conscious organizations, AI Training

H100A100 80GBL40S📍 US
from$1.50/ hr 8.9/10
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OVHcloud

Best for European data compliance, large bare metal deployments

H100A100V100s📍 Global
from$0.80/ hr 8.7/10
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Anyscale

Best for Distributed Computing, Ray workload scaling, LLM hosting

H100A100A10G📍 US East, US West
from$0.50/ hr 9.0/10
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Together AI

Best for Finetuning Open Source Models, Serverless inference endpoints

H100A100RTX A6000📍 US, EU
from$0.20/ hr 9.3/10
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DataCrunch

Best for European Startups, Eco-friendly Compute, Cost-effective Training

A100 80GBV100RTX A6000📍 EU (Finland, Germany)
from$0.35/ hr 8.8/10
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MonsterAPI

Best for No-code Finetuning, AI Application Developers, Quick Prototyping

A100RTX A6000RTX 3090📍 Global (Decentralized + Core)
from$0.10/ hr 8.7/10
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OctoAI

Best for Production AI Model Serving, Custom Model Inference

H100A100📍 US East, US West
from$0.20/ hr 9.2/10
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TensorDock

Best for Budget Compute, Side Projects, Decentralized Rendering

RTX 4090RTX 3090A100📍 Global Decentralized Market
from$0.10/ hr 8.9/10
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DeepInfra

Best for LLM Serverless APIs, Fast Image Generation, Voice AI

H100A100RTX A6000📍 US East, US West
from$0.15/ hr 9.3/10
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Scaleway

Best for European startups, Managed Kubernetes with GPUs, Green Cloud

H100A100L4📍 EU (France, Netherlands
from$0.90/ hr 8.6/10
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Vultr

Best for Edge AI, Application Developers requiring unified infrastructure, Web Apps + AI

H100A100 80GBA40📍 Global (30+ Data Centers)
from$0.20/ hr 8.8/10
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Compare Top GPU Cloud & AI Compute Providers

Choosing the right GPU cloud provider is critical for controlling your machine learning budgets. Our directory allows you to immediately compare verified AI infrastructure costs for NVIDIA H100, A100, L40S, and other high-end accelerators.

Some providers specialize in deeply discounted spot instances for interruptible tasks, while others deliver tier-1 dedicated bare-metal servers designed for multi-node LLM training clusters.

Filtering by region allows you to optimize data gravity and latency, ensuring your data storage and GPU compute remain geographically close.

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