Bubl Cloud
Bubl Cloud
GPU power inside your data vault

GPU power.
Your vault.
Zero compromise.

Dedicated GPUs attached directly to your Data Vault.

Run AI training, inference, and heavy computation without your data ever leaving your sovereign environment. From efficient inference to enterprise-scale processing, GPU power that respects your data boundaries.

What is a dedicated GPU?

Most cloud GPU providers work the same way: you send your data to their infrastructure, their GPU processes it, and results come back. Your sensitive data travels outside your environment every single time.

Bubl Cloud works differently. A dedicated GPU attaches directly to your Data Vault. The GPU comes to your data. Your models, your training runs, and your inference workloads are all processed inside your encrypted sovereign environment. Nothing leaves. Nothing is exposed. The compute power is dedicated exclusively to your vault, shared with no one.

You choose the GPU tier that matches your workload. We activate it and attach it to your vault. From that point it is yours.

GPU options

All GPUs attach directly to your Data Vault. Dedicated hardware, no shared pools, no other tenants.

Save 17% vs monthly
Entry level
NVIDIA L4
€600
per GPU / month
billed annually
Ideal for
AI inference Local LLM serving Document analysis Image classification NLP workloads Light model serving
Example: Your team uses the Secure AI Suite and wants to run a local LLM inside the vault for document Q&A without sending queries to external AI providers. The L4 handles this comfortably for small to medium teams.
Mid range
NVIDIA L40S
€1,000
per GPU / month
billed annually
Ideal for
Model fine-tuning Multi-app inference Document pipelines Image generation Medium LLMs AI development
Example: Your organisation wants to fine-tune a language model on your internal knowledge base so it answers questions specific to your domain. The L40S runs this inside your vault without exposing your training data.
Enterprise
NVIDIA H100
€2,350
per GPU / month
billed annually
Ideal for
Large LLM fine-tuning High-throughput inference Custom model training Multi-model pipelines Production AI systems Sensitive data training
Example: A legal or financial organisation training a custom AI model exclusively on internal documents and contracts, without that data ever touching an external provider. The H100 runs the full training cycle inside the vault.
Maximum performance
NVIDIA H200
€2,600
per GPU / month
billed annually
Ideal for
Frontier AI models High-volume production Multi-model orchestration Large-scale inference AI R&D Maximum throughput
Example: Running a full Secure AI Suite deployment for a large organisation where hundreds of users simultaneously query a local LLM, generate documents, and process data. The H200 serves all of this reliably from a single sovereign environment.

Need more than one GPU?

You are not limited to a single GPU. Attach multiple GPUs of the same or different tiers to your vault. A development setup might use an L4 for inference while an L40S handles fine-tuning in parallel. A production deployment might run two H100s for high-throughput inference. We configure the right combination for your requirements.

How it works

1

Choose your GPU

Select the tier that matches your workload. If you are unsure, our solutions team will help you scope the right configuration.

2

We activate and attach

Our team provisions your dedicated GPU and attaches it directly to your Data Vault. No shared infrastructure. No other tenants on the same hardware.

3

Process sovereignly

Your AI workloads run with full GPU acceleration inside your vault. Data never leaves. Results stay under your control.

Works with every Bubl Cloud product

Your GPU does not operate in isolation. It powers the applications, suites, and tools already running inside your vault.

Secure AI Suite

Add GPU power to your local LLM deployment. Faster inference, larger models, more concurrent users, all inside your encrypted environment without sending queries to external AI providers.

Sovereign Office Suite

Accelerate AI-assisted document processing, intelligent archiving with Paperless-ngx, and automated classification workflows across your entire workspace.

Hosting

Any containerized application running in your vault can use GPU resources. AI inference servers, custom models, and data processing pipelines all benefit from dedicated compute attached to the same environment.

Your own workloads

Training, fine-tuning, inference, data processing. If it needs a GPU and it handles sensitive data, it belongs inside your vault. PyTorch, TensorFlow, Hugging Face and all major frameworks work natively.

Fully managed. Fully dedicated.

Your GPU is dedicated to your vault and managed by Bubl Cloud. You get the performance without the operational burden.

Dedicated hardware
No shared GPU pools. Your GPU is allocated exclusively to your vault. Consistent performance, no noisy neighbours.
Fully managed
Driver updates, monitoring, and infrastructure management handled by us. You focus on your AI workload, not the hardware underneath it.
Sovereign by design
Your data never travels to the GPU. The GPU attaches to your vault. Processing happens where your data already lives.
ISO 27001 certified
The same security posture as your Data Vault. GDPR compliant. European datacenters owned by European companies.

Common questions

With other providers, you send your data to their GPUs. With Bubl Cloud, the GPU attaches to your vault where your data already lives. Your data never travels to external infrastructure. This is the reverse data model applied to compute.
Yes. You can attach multiple GPUs of the same or different tiers to your vault. We will configure the right setup based on your workload requirements.
GPU provisioning and attachment typically takes one to three business days depending on the tier. H100 and H200 configurations may require advance reservation for immediate availability.
Monthly billing. No long-term contract required.
Yes. Contact our team to adjust your configuration. Changes take effect at the next billing cycle or sooner depending on availability.
Yes. The GPU is directly accessible, so PyTorch, TensorFlow, Hugging Face and all major frameworks work natively inside the vault environment.
Technical support for GPU access and integration is included. For AI development assistance, our partner Synthwave Solutions offers implementation services.

Ready to add GPU power to your vault?

Tell us about your workload and we will recommend the right configuration.