Top Cloud GPU Providers in 2025: Find Your Cloud Partner

According to Goldman Sachs Economic Research, the global investment in AI will reach $200 billion by next year. Yet, as companies deploy advanced AI models for large-scale deep learning, complex data analytics or real-time inference, they face tough choices. The need for high-performance and flexible cloud solutions is clear but with so many options and the high costs involved, choosing the right cloud provider is imperative to lead in this market.

In this blog, we’ll break down the leading cloud GPU providers, their offerings, pricing and key features to help you find the best solution to drive innovation and scalability in your business.

1. Hyperstack

Hyperstack is a GPU-as-a-Service platform by NexGen Cloud for users who need high-performance, reliable and flexible infrastructure. With Hyperstack, you can access an array of NVIDIA GPUs for demanding workloads, including the powerful NVIDIA H100 and NVIDIA A100. Our platform provides stock transparency so you can view real-time GPU availability anytime.

Key Features and Benefits of Hyperstack

We don’t just offer instant access to high-end GPUs but also support your AI projects with our innovative features.

• Scale with NVLink: NVLink options are available for the NVIDIA A100 and NVIDIA  H100 GPUs on Hyperstack so you can easily scale your projects while maintaining high data throughput.
• Manage Costs: We understand that using powerful GPUs is expensive, so we offer a VM Hibernation option where you can pause your workloads when not in use. This way you manage your costs more effectively.
• Easy to Deploy: With our 1-click deployment option, setting up and deploying your workloads is fast and easy.
• High-Performance Storage: You can choose from NVMe block storage options to enhance the performance of your workloads.
• Low Latency: We recently introduced high-speed networking options up to 350Gbps for our VMs (NVIDIA A100, NVIDIA H100 PCIe and NVIDIA H100 SXM) to reduce latency and increase throughput. This is ideal for AI inference and data analytics workloads.
• Manage Kubernetes: You can easily deploy and manage Kubernetes clusters with Hyperstack’s AI-optimised container orchestration system, designed to deliver exceptional performance and efficient resource use for scalable AI applications.
• Sustainable Solution: We operate as a Green Cloud in Europe and North America so you get an eco-friendly solution for high-performance workloads.

Flexible Pricing Plans for Every Budget

You really thought we’d stop there? We want to power your AI projects, not empty your pockets. That’s why we offer a clear and flexible pay-as-you-go model with minute-by-minute billing, so you only pay for what you use. The NVIDIA H100 NVLink costs just $1.95/hour, while the NVIDIA A100 NVLink is priced at $1.40/hour—no hidden fees, no surprises. Our reservation options allow you to lock in lower prices for larger projects by securing GPUs in advance. We are all about providing the most cost-effective solution for your AI needs.

Best Use Cases for Hyperstack GPUs

We know that workloads can be diverse, so we don't limit ourselves to specific use cases. Hyperstack allows you to deploy any workload in the cloud, including

AI Training, Fine-Tuning and Inference

If you're looking to train or fine-tune your AI models at scale, Hyperstack’s high-performance GPUs like the NVIDIA H100 are designed to deliver rapid training times and seamless inference. You can choose the high-speed networking option for low latency, high-throughput performance and NVMe block storage to speed up data access and processing. 

Machine Learning

For large-scale ML tasks, Hyperstack provides scalable GPU solutions that ensure smooth model training and execution. With features like NVLink, high-speed networking up to 350Gbps and NVMe block storage, you can process vast datasets with minimal latency and faster data throughput, making your machine-learning workflows more efficient and reliable.

Large Language Models (LLMs)

When working with LLMs, Hyperstack offers specialised cloud GPUs for LLMs like the NVIDIA H100 to boost performance in processing complex models. You can choose the NVLink option and NVMe block storage to handle intensive computing requirements and large datasets efficiently. We are all up for experimenting with advanced LLMs, so you get open-source model support to prevent vendor lock-ins. 

Want to get started with the latest LLMs on Hyperstack? Check out our tutorials below:

• Deploying and Using Qwen 2.5 Coder 32B Instruct on Hyperstack
• Deploying and Using Granite 3.0 8B on Hyperstack
• Deploying and Using Llama-3.1 Nemotron 70B on Hyperstack
• Deploying and Using Llama 3.2 11B on Hyperstack
• Deploying and Using Qwen2-72B on Hyperstack

High-Performance Computing (HPC)

For high-performance computing workloads, Hyperstack provides the ideal infrastructure with powerful GPUs and high-speed networking for efficient processing of computationally demanding tasks. You may want to use the NVMe block storage for rapid data retrieval and smooth workflow execution to make complex simulations and scientific calculations faster and more accurate.

Rendering

Hyperstack’s GPU-powered cloud platform is perfect for rendering projects that require high computational power and speed. Whether you're rendering complex graphics or animations, NVMe block storage ensures quick access to large files, while high-speed networking delivers low-latency, high-throughput performance to help you complete your rendering projects faster.

Have you tried our NVIDIA RTX A6000 yet? Get Instant Access Today at Just $0.50 per Hour. 

2. Lambda Labs

Lambda Labs provides a cloud platform designed to help AI developers requiring powerful hardware for intensive model training and inference. This platform offers access to the NVIDIA’s latest GPUs including the NVIDIA H100 Tensor Core and NVIDIA H200 which supports advanced AI and ML tasks. 

Key Features and Benefits

• 1-Click Clusters: Rapid deployment of GPU clusters without long-term commitments.
• Quantum-2 InfiniBand Networking: High-speed networking that facilitates low-latency communication.
• Lambda Stack: A pre-installed ML environment that simplifies setup and deployment.

What Are the Pricing Options? 

Lambda Labs' pricing starts at $2.49 per hour for the NVIDIA H100 PCIe. Custom pricing options are also available for reserved instances, providing cost savings for users who plan to commit to specific resources.

Ideal Use Cases

• Training large language models (LLMs)
• AI inference
• Generative AI model development
• Enterprise AI applications

3. Paperspace (DigitalOcean)

Paperspace, now a part of DigitalOcean is a cloud platform offering massive speed and scalability. With NVIDIA H100, NVIDIA RTX 6000 and NVIDIA A6000 GPUs, Paperspace supports the full lifecycle of AI model development, from concept to production. 

Key Features and Benefits 

• Flexible Scaling: Expand your resources as needed with no runtime limits.
• Pre-configured Templates: You can start training in seconds with their pre-configured templates. 
• Automatic Versioning: Get full reproducibility and version control across development stages.

What Are the Pricing Options? 

Pricing for Paperspace's NVIDIA H100 GPU starts at $2.24  per hour and the NVIDIA A100 for just $1.15 per hour.

Ideal Use Cases

• AI model development
• Training and deployment of ML models
• HPC applications

4. Nebius

Nebius provides a versatile cloud platform with GPU-accelerated instances for high-performance AI and deep learning. You can access NVIDIA GPUs like the NVIDIA H100, NVIDIA A100 and NVIDIA L40, with support for InfiniBand networking. Nebius is well-suited for scalable deployments. 

Key Features and Benefits

• Flexible Scaling: You can adjust resources easily, from a single GPU to massive clusters.
• High-Speed Networking: Nebuius uses InfiniBand for low latency and high-throughput performance.
• Comprehensive Management Options: You can manage your infrastructure with Terraform, API and CLI.

What Are the Pricing Options? 

Nebius offers on-demand and reservation options with the NVIDIA H100 starting from $2.00/ hour.

Ideal Use Cases

• Artificial intelligence and ML projects
• Deep learning
• HPC environments

5. Runpod

Runpod is a cloud platform tailored for AI and machine learning, providing powerful GPUs and rapid deployment features. With a focus on serverless architecture, Runpod offers an efficient, low-latency platform ideal for dynamic workloads. 

Key Features and Benefits 

• Serverless GPU Scaling: Runpod offers auto-scaling that reduces setup times to milliseconds.
• Custom Container Support: You can deploy custom environments effortlessly.
• Real-Time Analytics: Get to monitor GPU usage and performance metrics.

What Are the Pricing Options?

Runpod’s pricing starts at $0.17 per hour for NVIDIA RTX A4000 and $1.19 per hour for NVIDIA A100 PCIe, with higher-end options like MI300X priced at $3.49 per hour.

Ideal Use Cases

• AI training
• AI inference for real-time applications
• Academic research
• Startups and enterprises seeking flexible cloud options

6. Vast.ai

Vast.ai is a cost-effective choice for developers seeking affordable GPU rental options. With support for various GPUs, Vast.ai allows users to control pricing through a real-time bidding system and offers flexible options for both on-demand and interruptible instances.

Key Features and Benefits 

• Real-Time Bidding: Choose interruptible or on-demand pricing for significant savings.
• Quick Setup: Get docker-based container deployment to streamline workflow.
• Enhanced Search Tools: Use the CLI or web interface to find and launch instances easily.

What Are the Pricing Options? 

Prices at Vast.ai are determined per GPU. For multi-GPU instances, the total price is divided by the number of GPUs in the instance.

Ideal Use Cases

• AI and ML projects
• Deep learning tasks
• High-performance computing

7. Genesis Cloud

Genesis Cloud offers high-performance GPU cloud services aimed at accelerating enterprise AI, machine learning, and rendering tasks. Leveraging the latest NVIDIA architecture, it supports large-scale training with impressive performance gains and cost reductions. 

Key Features and Benefits 

• High-Performance GPU Options: You get access to the latest NVIDIA HGX H100 and GB200 NVL72.
• High-performance: Genesis Cloud offers 35x More performance for LLMs, GenAI, large multi-node training.
• EU Sovereign Cloud: They ensure data compliance for AI workloads with EU regulations.

What Are the Pricing Options? 

Genesis Cloud's pricing starts at $2.00 per hour for NVIDIA HGX H100 GPUs, which provides excellent performance for LLMs and generative AI while keeping costs budget-friendly.

Ideal Use Cases

• Large language models (LLMs) and generative AI
• Machine learning
• High-performance computing (HPC)
• Enterprise AI

8. Vultr

Vultr is a global cloud infrastructure provider that supports AI and ML workloads with a range of affordable GPU options, including NVIDIA GH200, NVIDIA H100 and NVIDIA A100. With 32 data centres worldwide, Vultr enables rapid deployment and global reach. 

Key Features and Benefits 

• Affordable Cloud GPUs: Starting at $0.123 per hour, suitable for budget-conscious users.
• Flexible Deployment Options: Scalable instances that adapt to various AI/ML workloads.
• Global Reach: Extensive global network for reliable access and deployment.

What Are the Pricing Options? 

Vultr’s cloud GPUs are competitively priced, with NVIDIA L40 GPUs starting at just $1.671 per hour, with higher-end options like NVIDIA H100 available at $2.30 per hour.

Ideal Use Cases

• AI and ML applications
• HPC
• Media rendering
• Geographic data processing due to a wide data center reach

9. Gcore

Gcore offers a robust global infrastructure for AI and cloud services, with over 180 CDN points and 50+ cloud locations. The platform emphasises security and performance, making it suitable for a variety of demanding applications. 

Key Features and Benefits 

• Global CDN Network: Over 180 CDN locations for low-latency delivery.
• Advanced Security: Includes DDoS protection and edge security.
• Scalable Infrastructure: Easily handle dynamic workloads with minimal latency.

What Are the Pricing Options? 

Gcore provides custom pricing based on customer requirements, allowing users to build a plan tailored to specific needs. This flexibility suits both small projects and large-scale deployments.

Ideal Use Cases

• AI and ML projects requiring global reach
• Content delivery and streaming
• Secure enterprise applications

10. OVHcloud

OVHcloud delivers a comprehensive set of services for AI, ML, and high-performance computing. The platform’s partnership with NVIDIA allows it to provide powerful GPUs like the NVIDIA A100, NVIDIA V100 and T4 at competitive prices. 

Key Features and Benefits 

• Dedicated Cloud Resources: High-performance GPUs and CPUs dedicated to ML.
• ISO and SOC Certified: Provides an ISO-compliant infrastructure that meets stringent security standards.
• Hybrid Solutions: On-premises and cloud integration for maximum flexibility.

What Are the Pricing Options? 

OVHcloud’s pricing is highly competitive, with rates starting at $2.99 per hour for NVIDIA H100 GPUs, making it a suitable choice for enterprises needing dedicated resources.

Ideal Use Cases

• Machine learning
• High-performance computing
• Security-conscious enterprise applications

Conclusion

Choosing the right cloud GPU provider depends on your needs, budget, and performance requirements. Each cloud provider offers distinct advantages, whether cost-effective solutions for small-scale projects or powerful GPUs designed for AI and ML workloads. Our balanced approach to providing advanced GPUs with high-performing features ensures you deploy your workloads at their level best. Get started today and enjoy all the benefits Hyperstack has to offer. See our Quick Start demo video below to get started!

FAQs

What GPUs does Hyperstack offer?

Hyperstack provides NVIDIA H100, A100, and RTX A6000 GPUs for various workloads.

How does Hyperstack help manage GPU costs?

Hyperstack offers minute-by-minute billing, hibernation, and reservation options.

What networking options are available on Hyperstack?

Hyperstack supports high-speed networking up to 350Gbps for low-latency AI workloads.

Can I use Kubernetes with Hyperstack?

Yes, Hyperstack allows easy deployment and management of Kubernetes clusters.

What storage options does Hyperstack provide?

Hyperstack offers NVMe block storage for high-performance data access.