Nvidia GPUs
Deploy Carbon-Negative AI on EU-Sovereign Cloud
NVIDIA RTX 6000 Blackwell, H100, A100, A30 GPUs available now. Deploy using IaC & Kubernetes-native orchestration on carbon-negative GPU infrastructure in Amsterdam. Start for just €0.85/hour.
H100, A100, A30, RTX 6000 Blackwell
Carbon-Negative
From €0.85/hour
A30 single GPU
Amsterdam, NL
EU-sovereign
K8s Native
Gardener orchestration
Quick Start
Deploy Your First GPU Instance
Get your first GPU instance running in minutes:
Step 1: List Available GPU Flavors
openstack flavor list --long | grep gpuStep 2: Create GPU Instance
openstack server create \
--flavor ec2.large.gpu.a30.1 \
--image "Ubuntu 22.04 LTS" \
--key-name my-key \
--network private \
my-gpu-instanceNote: Instance will take a minute to boot
Step 3: Verify GPU Access
Once your instance is running, SSH in and verify:
ssh ubuntu@<ip-address>
nvidia-smiYour GPU is now ready for AI/ML workloads. Check out our guides, repos, and images below for deploying OpenClaw, Jupyeter all-in-one, or private LLMs.
GPU Pricing
Transparent GPU Pricing
GPU instances with powerful NVIDIA H100, A100, A30, and RTX 6000 Blackwell GPUs. Built for enterprise workloads and great for machine learning, HPC, rendering, and other compute intensive workloads. Available in VMs with 1, 2, 4, or 8 GPUs. RTX 6000 Blackwell available in 1, 2, or 4 GPU configurations. Price includes VM.
All Prices excl. VAT
GPU Lineup
Enterprise NVIDIA GPUs for Every Workload
From cost-effective A30 for inference to powerful RTX 6000 Blackwell with 96GB memory per GPU. H100, A100, A30 available now. Choose flexible hourly or committed pricing.
RTX 6000 Blackwell (96GB)
Next-gen GPU. 96GB GDDR7 per GPU. 1-4 GPU configs. From €2.35/hour.
NVIDIA H100 (80GB)
Flagship datacenter GPU. 700W TDP. Perfect for LLM training and large-scale inference.
NVIDIA A100 (80GB)
Proven workhorse. 300W TDP. 1-8 GPU configurations. Ideal for ML training and HPC.
NVIDIA A30 (24GB)
Cost-effective inference. 165W TDP. 1-8 GPU configurations. Perfect for production inference workloads.
GPU Comparison
Compare NVIDIA GPUs
Choose the right GPU for your workload and budget.
Open Code on Leafcloud using Terraform
Deploy any AI model you want with our community-driven Terraform module. Infrastructure as code made simple—provision your GPU workloads on Leafcloud in minutes. Open source, vendor-agnostic, and built with contributions from the community.
Carbon Reducing
Calculate Your Yearly Emissions Reduction
Our compute heavy machines are housed in apartment complexes and care homes. That means your workload reduces emissions for heating shower water by replacing natural gas use. With the heat from your workload people get a hot shower! Find out by how much you can reduce emissions
EU-Sovereign GPU Infrastructure
Amsterdam Datacenter with HAVEN+ Compatibility
Dutch-owned GPU infrastructure in Amsterdam. Your AI workloads and model weights stay under EU jurisdiction. ISO 27001 & SOC2 certified.
No US CLOUD Act
Unlike AWS, Azure, GCP—not subject to US data access laws.
GDPR Native
All data stays in Netherlands. Full compliance guaranteed.
Kubernetes Ready
Deploy GPU clusters with Gardener in minutes.
GPU Pricing Comparison
Compare On-Demand GPU Pricing Across Providers
Transparent on-demand pricing comparison for H100, A100, A30, and RTX 6000 Blackwell across major cloud GPU providers. Leafcloud offers competitive EU-sovereign GPU hosting and unbeatable sustainability.
| Provider | Region | ||||
|---|---|---|---|---|---|
RunPod Bare GPU pricing | $1.89 | $2.39 | $1.39 | N/A | global-pool |
Leafcloud Full VM included | €2.76 | €4.12 | €1.61 | €0.60 | ams-1 (Amsterdam) |
AWS P5/P4d instances | $3.36 | $11.56 | N/A | N/A | us-east-1 / eu-central-1 |
Lambda Labs On-demand instances | N/A | $3.29 | N/A | N/A | us-west-2 |
Azure NC H100/A100 series | N/A | $10.12 | $3.67 | N/A | westeurope |
Tutorials
Get started
use our step-by-step guides and pre-built images to get started in no time
Orchestration
Vendor Agnostic Solutions
Use Kubernetes and other common orchestration solutions
IaaS
Built on OpenStack
OpenStack provides a stable, scalable platform with robust fault tolerance and mitigating risks through its vendor-neutral, community-driven ecosystem.
IaC solutions
Terraform & Ansible
Ansible simplifies orchestration with its agentless, open-source framework, making it easy to automate complex workflows using YAML configurations. Terraform’s open-source, declarative approach enables seamless infrastructure provisioning and management across multi-cloud environments with clear, reusable code
Kubernetes
Gardener Managed Kubernetes
Gardener is great for managing GPU tasks in Kubernetes. Scale resources easily, automate task management, and optimize how GPUs are used across different computing nodes using the Nvidia operator.
About Leafcloud
Helping Forward Thinkers Succeed
We empower businesses to grow sustainably, stay secure, and maintain control. Whether your focus is on the environment, avoiding vendor lock-in, or data sovereignty, we’re here to help you succeed.
Sustainable Innovation
We transform existing buildings into energy-efficient Leaf sites, reusing residual heat to warm urban buildings and provide free hot showers. No new data centers, no carbon credits—just real impact. Lower costs for you, less waste for the planet.
European Standards
We prioritize your data privacy with GDPR compliance, ISO 27001, and SOC2 certifications. Your data stays protected and sovereign—right where it belongs.
Open-Source Freedom
Built on OpenStack open-source technology, we provide flexible APIs and industry standards. Enjoy seamless multi-cloud integration without the risk of vendor lock-in, so you stay in control.
Any Questions?
How do I start a Leafcloud GPU instance?
Starting a Leafcloud GPU instance is straightforward with multiple deployment methods to match your workflow.
Dashboard (OpenStack Horizon): Sign up at leaf.cloud/signup and ensure you tick "Enable GPU" during registration. Once approved, log into the OpenStack dashboard, navigate to Compute > Instances > Launch Instance, and select a GPU flavor (eg1.a30x1.V8-32 for single A30, eg1.h100x1.V24_96 for H100). Choose your image, configure networking, and launch. Full GPU access in minutes.
OpenStack CLI: Install the OpenStack CLI client and authenticate with your credentials. Use openstack flavor list | grep eg1 to view GPU flavors, then openstack server create --flavor eg1.a30x1.V8-32 --image ubuntu-22.04 --network your-network gpu-instance to launch via command line.
Terraform: Use our community-driven Terraform module at github.com/leafcloudhq/tf-leafcloud-opencode. Infrastructure as code makes GPU provisioning reproducible and version-controlled. Perfect for CI/CD pipelines and team environments.
Kubernetes (Gardener): Deploy GPU-enabled Kubernetes clusters via dashboard.gardener.leaf.cloud. Select GPU node pools with H100, A100, or A30 workers. Kubernetes-native GPU scheduling with auto-scaling and hibernation support. See our guide at /blog/provision-gpus-using-gardener-kubernetes/.
How do I start a private LLM?
You can find a step-by-step guide in our documentation here.
Which frameworks can I use with Leafcloud GPUs?
Most frameworks are supported. For more information on Leafcloud GPUs, visit our GPU page.
Which GPUs does Leafcloud offer?
Leafcloud offers NVIDIA H100, A100, A30, and RTX 6000 Blackwell GPUs in Amsterdam.
NVIDIA H100 (80GB HBM3): Flagship datacenter GPU with 700W TDP. Perfect for large language model training, multi-modal AI, and high-performance inference. Available in 1x GPU configuration. Starting at €3.45/hour.
NVIDIA A100 (80GB HBM2e): Proven workhorse for ML training and HPC workloads. 300W TDP with exceptional performance-per-watt. Available in 1x, 2x, 4x, and 8x GPU configurations for scaling. Starting at €2.15/hour.
NVIDIA A30 (24GB HBM2): Cost-effective inference GPU. 165W TDP makes it ideal for production inference workloads and smaller models. Available in 1x, 2x, 4x, and 8x GPU configurations. Starting at €0.85/hour.
RTX 6000 Blackwell (96GB GDDR7): Next-generation Blackwell architecture with 96GB GDDR7 memory per GPU. Available now. Built for running large language models efficiently with exceptional memory bandwidth. Available in 1x, 2x, and 4x GPU configurations (Pro, Duo Pro, Quad Pro). Ideal for inference workloads and model deployment. Starting from €2.35/hour with commitment (€2.76/hour on-demand), VM included.
All GPUs support Kubernetes orchestration via Gardener, OpenStack provisioning, and Terraform deployment. Flexible pricing with hourly on-demand rates and commitment discounts available for 6, 12, and 36-month terms.
Why are Leafcloud GPUs more affordable than traditional providers?
Leafcloud GPUs are more affordable due to our innovative heat reuse infrastructure and efficient Dutch operations—without compromising on performance or reliability.
Heat Reuse Technology: We capture waste heat from GPU workloads and redirect it to warm residential buildings. This eliminates expensive cooling infrastructure costs that hyperscalers pass on to customers. GPUs generate significant heat (165W-700W per card), and traditional datacenters spend heavily on cooling systems. We turn that expense into a community benefit.
No US Markup: Unlike AWS, Azure, or GCP, Leafcloud is Dutch-owned with no US parent company overhead. Hyperscaler EU regions typically charge 20-40% more than their US regions for VMs and GPUs due to regulatory compliance, data sovereignty requirements, and corporate structure costs. We operate locally without these markups.
Transparent Pricing: No hidden fees, egress charges, or surprise costs. What you see is what you pay. Our pricing is fetched live from pricing.leaf.cloud and includes straightforward hourly rates with discounts for committed usage.
Efficient Operations: Smaller scale allows us to optimize for cost efficiency rather than maximizing profit margins. We pass savings directly to customers while maintaining ISO 27001 & SOC2 certifications.
Amsterdam Location: Operating in the Netherlands with direct access to renewable energy and efficient infrastructure keeps operational costs low. Our climate-positive model reduces carbon footprint while reducing costs—a true win-win for organizations seeking sustainable GPU compute.
Start Your Sustainable Cloud Journey
Our Amsterdam-based team is here to help. Whether you need guidance on comparing GPUs, OpenStack configuration, or just want to discuss your infrastructure needs—reach us via email or plan a call.
