H100 GPU for AI workloads
Run large-scale AI training and inference on H100 GPUs with scalable compute and Kubernetes
AI development, simplified
Build and scale AI workloads on NVIDIA H100 GPUs without the complexity or cost barriers.
Deploy H100 GPUs through flexible compute or Kubernetes, with fast provisioning and predictable performance. Run training, inference, and large-scale models with the power of a full ML ecosystem, all on infrastructure that scales with you.
Everything to move you forward, nothing to slow you down.
Clients
Bright minds build with Civo
Pricing
Great power. No great cost.
We believe brilliant minds should have access to brilliant tools, without the baffling price tags.
Simple, transparent pricing means you can scale without fear.
Build AI faster
Accelerate your AI journey with Civo
When you're ready to build with the industry's most powerful GPU, you need infrastructure that keeps up. We get you to the NVIDIA H100 fast, so you can focus on what you do best: groundbreaking AI. We manage the cloud so you can manage the breakthroughs.
01
Stop configuring. Start creating.
Let your team be brilliant. Our fully managed platform removes the burden of setup and maintenance, freeing your data scientists and developers to actually build. Deploy models, run experiments, and iterate at the speed of thought.
02
Pay for performance
Don't pay for GPUs sitting still. With Civo, every hour your H100 is running is an hour of value: training, inference, and data processing. Our transparent, on-demand pricing means you can scale your ambition without inflating your budget. This is compute without the cost surprises.
Get started today
NVIDIA H100 GPUs are in stock and ready for deployment. Contact our sales team to secure yours.
NVIDIA H100 specifications
Take an in-depth look
Trusted by top-tier teams worldwide
Serious power for serious workloads
We’re trusted by ambitious startups and major enterprises around the world to deliver scalable, sustainable infrastructure without the hidden costs or headaches of hyperscalers.
Regent Lee
Professor of Interdisciplinary Innovations
"Civo gives us the flexibility and performance we need to train our AI models at scale... a powerful example of how secure, sovereign infrastructure can enable positive change in healthcare."
Daniel Miodovnik
Chief Operating Officer
"We're using Civo's GPUs to develop world-leading AI models to discover new materials and develop hardware solutions to the biggest challenges in data centres."
James Faure
Co-Founder & CEO
"Our experience with Civo has been outstanding. We're treated as a customer, not just a consumer, with a highly innovative and customer-centric service."
Anuraag Gutgutia
Founder
"The dedication and expertise of Civo's support team have been standout. They've been instrumental in helping us navigate any challenges, always with a focus on our long-term success."
Regent Lee
Professor of Interdisciplinary Innovations
"Civo gives us the flexibility and performance we need to train our AI models at scale... a powerful example of how secure, sovereign infrastructure can enable positive change in healthcare."
Resources
Built for insight and innovation
This GPU really is FASTER
Inside Civo’s launch of NVIDIA Blackwell B200 cloud compute
This GPU really is FASTER
AI startup on a budget?
How to master GPU computing without overspending
AI startup on a budget?
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No lock-ins. No let-downs.
Run AI Cloud workloads and save over 50% compared to the big 3 hyperscalers with Civo.
FAQs
Frequently asked questions
Find out more about H100 GPU at Civo and how it can help you.
The NVIDIA H100 is designed for cutting-edge AI and high-performance computing (HPC) workloads. It excels in large-scale deep learning training, AI model inference, high-performance data analytics, and scientific computing. With its Transformer Engine and high-bandwidth memory, the H100 is particularly well-suited for training and fine-tuning large language models (LLMs), generative AI applications, and complex simulations.
Have doubts? Check our comparison of NVIDIA’s Next-Gen GPUs.