GPU Cloud Providers
Compare different GPU cloud providers to find the best fit for your needs.
Amazon AWS
AWS provides a comprehensive suite of cloud computing services, including compute, storage, and GPU solutions for diverse workloads.
RunPod
RunPod provides cost-effective GPU rentals with a simple interface and powerful features for AI and ML workloads.
Google Cloud
GCP provides powerful GPU instances with flexible pricing and integration with Google's AI and machine learning tools. It's a major cloud provider known for its innovation in Kubernetes, AI/ML, and data analytics.
Microsoft Azure
Azure provides comprehensive cloud computing services with strong enterprise integration, advanced AI capabilities, and a wide range of GPU options for machine learning, visualization, and high-performance computing workloads.
IBM Cloud
IBM Cloud provides GPU instances optimized for AI and data-intensive workloads, with a focus on enterprise solutions.
Oracle Cloud
Oracle Cloud offers GPU instances with a focus on high-performance computing and enterprise applications.
CoreWeave
CoreWeave is a specialized cloud provider offering GPU-accelerated infrastructure for compute-intensive workloads such as machine learning, VFX rendering, and batch processing. They provide a Kubernetes-native platform with a wide range of NVIDIA GPUs, delivering high performance at competitive prices.
Vast.ai
Vast.ai is a marketplace for cloud GPU rental, connecting users to a network of GPU providers. It offers significant cost savings compared to traditional cloud services, with both on-demand and interruptible pricing models, real-time bidding, and Docker-based deployments.
Lambda Labs
Lambda Labs is an AI compute platform offering GPU cloud services, specializing in on-demand NVIDIA GPUs for AI training, fine-tuning, and inference. They provide a range of GPU instances, including access to the latest NVIDIA H100 and H200 Tensor Core GPUs.
Fluidstack
FluidStack is a GPU cloud platform that aggregates underutilized GPUs from data centers worldwide, offering affordable and scalable computing solutions for AI training, machine learning, and rendering. They provide on-demand access to high-performance NVIDIA GPUs, including H100 and A100 models, with fully managed Kubernetes and SLURM environments.
Genesis Cloud
Genesis Cloud is a best-in-class AI cloud provider offering GPU solutions at scale for EnterpriseAI, GenAI, ML workloads, and rendering. They focus on providing NVIDIA-based architecture with superior cost-efficiency and performance.
Datacrunch
DataCrunch.io is a Finnish cloud service provider specializing in AI and machine learning infrastructure. They offer dedicated GPU servers, fully-managed services, and on-demand access to high-performance computing resources, including advanced NVIDIA GPUs like the A100 and H200.
Hyperstack
Hyperstack provides GPU cloud solutions with a focus on AI and machine learning. As an NVIDIA Preferred NCP Partner, they own, operate, and optimise everything from the servers and network to the platform itself, offering enterprise-level GPU-acceleration.
The Cloud Minders
The Cloud Minders (TCM) offers supercompute-as-a-service, specializing in AI training and inference. They provide purpose-built AI clouds with the latest NVIDIA GPUs and industry-leading CPUs, aiming to offer more flexibility than hyperscalers and more long-term viability than GPU marketplaces. They emphasize a partnership approach, working closely with clients to optimize their AI infrastructure.Choosing a Cloud Provider
For Enterprise Users
Enterprise users should consider providers like AWS, GCP, or Azure for their comprehensive service offerings, strong security compliance, and global infrastructure. These providers offer enterprise-grade support, robust SLAs, and deep integration with existing business tools.
For AI Researchers
Researchers might prefer specialized providers like Lambda Labs or Vast.ai for their focus on ML workloads, competitive pricing, and access to specific GPU models. These providers often offer simpler interfaces and better price-to-performance ratios.
For Startups
Startups should consider providers like RunPod or CoreWeave for their flexible pricing, pay-as-you-go models, and lower entry barriers. These providers often offer good documentation and community support for quick deployment.
For Cost Optimization
For cost-sensitive workloads, consider using spot instances from major providers or specialized services like Vast.ai and Fluidstack. These options can offer significant savings, though they may require more careful workflow management.