Cloud GPU-powered compute and Kubernetes

High-performance NVIDIA GPUs for machine learning and generative AI.

  • Unbeatable pricing from just $0.79 per GPU/h
  • The latest NVIDIA GPUs including H100, H200, A100 and L40S
  • Support for compute and Kubernetes

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Instant, affordable access to GPU clusters

Fast, Scalable Training

Fast, Scalable Training

Train AI models with high-performance infrastructure that scales effortlessly. Simplified setup ensures rapid deployment and accelerated results.

Real-Time Inference

Real-Time Inference

Achieve instant, accurate AI inference with low-latency architecture, enabling seamless decision-making and optimized user experiences.

Accelerated Data Processing

Accelerated Data Processing

Accelerate complex computations and data transformations with powerful computing capabilities. Process raw data efficiently for faster insights.

Built for Performance and Scale

Built for Performance and Scale

Our platform is built for high performance and scalability, delivering the speed and capacity to handle any workload effortlessly. You can even combine our GPUs with Kubernetes for even more power and flexibility, allowing for seamless scaling without the complexity.

UK Sovereignty Guaranteed

UK Sovereignty Guaranteed

Your data remains securely within UK borders at all times, ensuring it is never transferred internationally or subjected to foreign laws. We guarantee full compliance with UK regulations, offering complete data sovereignty, security, and peace of mind.

Sustainability at Our Core

Sustainability at Our Core

We use 100% renewable energy to power our GPU offerings, we are committed to sustainability while driving innovation. Our environmentally conscious infrastructure reduces your carbon footprint and supports your growth with cutting-edge technology.

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Maximum GPU power at the lowest possible price

Industry-leading on-demand and standard pricing you won't find anywhere else.

Model Status From price On-demand price
A100 40GB In stock now $0.79 per GPU/h $1.29 per GPU/h
A100 80GB In stock now $1.49 per GPU/h $1.99 per GPU/h
L40S In stock now $0.99 per GPU/h $1.49 per GPU/h
H100 PCI In stock now $1.99 per GPU/h $2.49 per GPU/h
H100 SXM In stock now $2.49 per GPU/h $2.99 per GPU/h
GH200 Reserve now Price on request Price on request
H200 Reserve now Price on request Price on request

For full details on pricing and the savings you can make see our pricing page here.

Accelerate your AI and ML projects

From single GPU Compute Instances to scalable GPU Kubernetes cluster.

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GPU Kubernetes clusters

The adaptability of Kubernetes meets GPU firepower. Designed for vast datasets and intricate models. Offering easy scalability and ROI by supporting multiple GPUs efficiently.

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GPU Compute instances

Compute instances powered by our NVIDIA GPUs. Perfect for individual workloads and experiments, machine learning model testing, and graphics rendering.


Frequently Asked Questions


How to choose the right GPU?

Choosing the right GPU among the NVIDIA L40S, H100, and GH200 Grace Hopper depends on your specific needs and your use case:

  • NVIDIA A100: Delivering unmatched AI and graphics performance with cutting-edge technology, the NVIDIA A100 is the pinnacle of innovation for demanding workloads in AI, data analytics, and scientific computing.
  • NVIDIA L40S: Ideal for those who need a balanced blend of AI and graphics performance. Powered by the NVIDIA Ada Lovelace architecture with 48 GB GDDR6 memory, it's particularly well-suited for tasks that require both intricate AI computations and advanced graphics processing, like 3D graphics, rendering, and large language model training.
  • NVIDIA H100: Best suited for intensive AI training and inference tasks. It offers options of 4GB or 80GB HBM2e memory and is equipped with fourth-generation Tensor Cores, making it a superior choice for developing and deploying large AI models like chatbots and recommendation engines. The H100 is also designed for scalable multi-GPU systems, ensuring high performance and robust security for data center operations.
  • NVIDIA GH200 Grace Hopper™ Superchip: The go-to choice for cutting-edge AI and high-performance computing (HPC) workloads. It features an integrated CPU-GPU architecture with a high-bandwidth NVLink C2C interconnect, enhancing performance for AI and HPC tasks. With its 72-core Grace CPU, H100 Tensor Core GPU, and up to 624GB of memory, it's tailored for generative AI, large-scale AI inference, or scientific computing that demands the highest level of memory and processing power.

Your choice should be based on the specific balance of AI, graphics, and HPC needs in your projects, considering factors like memory requirements, processing power, and the nature of the tasks (AI training/inference, graphics rendering, HPC tasks, etc.).


Are your GPU products climate-friendly?

At Civo, we are dedicated to providing climate-friendly GPU products. Our sustainable cloud solution, powered by 100% renewable energy, runs on Deep Green's carbon-neutral data center. We effectively capture 90% of the heat generated by our servers, repurposing it for community-based projects, thus reducing our carbon footprint and contributing to a sustainable future.

As the exclusive cloud partner of Deep Green, we offer state-of-the-art GPU-powered servers that align with environmental responsibility. We believe in making sustainability accessible; hence, we've maintained competitive pricing across all regions to encourage more businesses to adopt eco-friendly computing solutions.


Can I scale these GPUs for larger projects?

Yes, the NVIDIA L40S, H100, and H200 Grace Hopper GPUs can be scaled for larger projects. These GPUs are designed with scalability in mind, allowing them to be integrated into multi-GPU systems. This capability is crucial for handling more complex or larger-scale computational tasks, such as extensive AI training, large language model processing, or high-performance computing. By leveraging scalable architectures and technologies, these GPUs can work in tandem, providing increased processing power, memory bandwidth, and efficiency necessary for handling the demands of expansive and resource-intensive projects.


What are the use cases for Civo Cloud GPUs?

Leverage the power of NVIDIA GPUs to excel in a variety of projects. Whether you need single GPU instances for tasks like AI model training and high-performance computing, or scalable GPU Kubernetes clusters for handling complex machine learning models and large datasets, Civo Cloud GPUs offer unparalleled performance and versatility.


How do I get started with Civo Cloud GPUs?

For new users, sign up and receive $250 in free credits. Existing users can simply launch their Cloud GPU via the dashboard or CLI.


How do I integrate Cloud GPUs into my existing workflow?

Civo offers plug-and-play integration and easy configuration, ensuring users familiar with our existing instance services feel right at home. With our setup, it's effortless to scale from startup to hyperscale without any vendor lock-in.


Do you offer discounted rates for longer-term commitments in addition to on-demand pricing?

Yes, alongside our flexible on-demand hourly pricing, we offer discounted rates for longer-term commitments to help you save as you scale.

Here's a breakdown of our options

  • On-demand:
  • 6-month commitment
  • 12-month commitment
  • 24-month commitment
  • 36-month commitment

For full details on pricing and the savings you can make, please see https://www.civo.com/pricing#nvidia-gpus.


What certifications and compliance standards does Civo adhere to?

Civo is certified with CE and CE+ marks, ensuring compliance with European safety, health, and environmental protection standards. We are also ISO 27001 certified, signifying our commitment to rigorous information security management practices. Additionally, we adhere to SOC 2 standards, focusing on trust principles like security, availability, and confidentiality, ensuring that our services align with recognized best practices for protecting your data and operations.