{"id":151502,"date":"2026-09-14T08:01:52","date_gmt":"2026-09-14T08:01:52","guid":{"rendered":"\/ng\/tutorials\/best-gpu-cloud-providers"},"modified":"2026-09-14T08:01:52","modified_gmt":"2026-09-14T08:01:52","slug":"best-gpu-cloud-providers","status":"publish","type":"post","link":"\/ng\/tutorials\/best-gpu-cloud-providers\/","title":{"rendered":"10 best GPU cloud providers for AI and machine learning"},"content":{"rendered":"

The best GPU cloud providers include Hostinger<\/strong> for straightforward NVIDIA GPU access with full root control; RunPod<\/strong> and Modal<\/strong> for serverless GPU workloads; Vast.ai<\/strong> for lower-cost, marketplace-based rentals; and CoreWeave<\/strong> for larger multi-GPU deployments. <\/p>

The right choice depends on the GPU hardware you need, how you want to deploy your workload, and how much infrastructure you want to manage.<\/p>

We compared 10 leading GPU cloud providers<\/strong> based on their available GPUs, deployment options, pricing, scalability, and suitability for different workloads. <\/p>

Here’s a quick overview:<\/p>

Provider<\/strong><\/p><\/td>

Available GPUs<\/strong><\/p><\/td>

Best for<\/strong><\/p><\/td><\/tr>

Hostinger<\/strong><\/p><\/td>

RTX 4090, RTX PRO 6000, L40S, A100, B200<\/span><\/p><\/td>

Straightforward GPU servers with root access<\/span><\/p><\/td><\/tr>

RunPod<\/strong><\/p><\/td>

30+ models, including A40, A100, H100, H200, B200, B300<\/span><\/p><\/td>

Flexible AI development and serverless inference<\/span><\/p><\/td><\/tr>

Vast.ai<\/strong><\/p><\/td>

68+ types, including RTX 3090, RTX 4090, RTX 5090, H100, H200, B200<\/span><\/p><\/td>

Finding low-cost GPU capacity<\/span><\/p><\/td><\/tr>

Lambda<\/strong><\/p><\/td>

V100, A100, H100, B200<\/span><\/p><\/td>

ML training and fine-tuning<\/span><\/p><\/td><\/tr>

CoreWeave<\/strong><\/p><\/td>

L40, L40S, A100, H100, H200, B200, and more<\/span><\/p><\/td>

Large multi-GPU AI workloads<\/span><\/p><\/td><\/tr>

Modal<\/strong><\/p><\/td>

T4, L4, A10, L40S, A100, H100, H200, B200, B300<\/span><\/p><\/td>

Serverless inference and batch workloads<\/span><\/p><\/td><\/tr>

Google Cloud<\/strong><\/p><\/td>

L4, A100, H100, H200, B200, RTX PRO 6000<\/span><\/p><\/td>

GPU workloads already using Google Cloud<\/span><\/p><\/td><\/tr>

AWS<\/strong><\/p><\/td>

L4, L40S, A100, H100, H200, B200, B300<\/span><\/p><\/td>

Distributed GPU workloads within AWS<\/span><\/p><\/td><\/tr>

Microsoft Azure<\/strong><\/p><\/td>

A10, T4, A100, H100, H200, RTX PRO 6000<\/span><\/p><\/td>

GPU workloads within Azure<\/span><\/p><\/td><\/tr>

Nebius<\/strong><\/p><\/td>

L40S, RTX PRO 6000, H100, H200, B200, B300<\/span><\/p><\/td>

Scaling from individual GPU VMs to AI clusters<\/span><\/p><\/td><\/tr><\/tbody><\/table><\/figure>

1. Hostinger – best for flexible GPU infrastructure without hyperscaler complexity<\/h2>
\"Hostinger