Find the best GPU clusters for your workloads
Stonehold monitors Europe’s GPU clouds in real-time and tells your team exactly where to train, tune, and deploy — based on price, availability, reliability, power source, and sovereignty needs. You focus on models. We worry about where they should run.
Trusted by AI teams that need predictable training, tuning & inference
Verified
Verified European Compute
Stonehold sources GPU capacity from vetted European data-centres and renewable-powered clusters.
Affordable
Renewable
Compliant
Choosing GPU providers shouldn’t feel like guesswork.
Europe’s GPU clouds vary wildly in cost, availability, and reliability and most teams don’t have the time to track them all.
Real availability is hidden
EU GPU clouds advertise H100s, but actual stock, start-times, and stability differ wildly.
Real availability is hidden
EU GPU clouds advertise H100s, but actual stock, start-times, and stability differ wildly.
Unpredictably across regions and providers
An H100 can be €3/hr in Finland and €8/hr in Frankfurt — and this changes week to week.
Unpredictably across regions and providers
An H100 can be €3/hr in Finland and €8/hr in Frankfurt — and this changes week to week.
Takes weeks to validate providers
Queue depth, network performance, cluster stability, spot interruptions — all require real testing.
Takes weeks to validate providers
Queue depth, network performance, cluster stability, spot interruptions — all require real testing.
Workload break
Training runs fail. Tuning pipelines stall. Inference slows under regional saturation when capacity tightens or clusters fluctuate.
Workload break
Training runs fail. Tuning pipelines stall. Inference slows under regional saturation when capacity tightens or clusters fluctuate.
Sovereignty and compliance
EU-only, UK-only, or regulated workloads can’t just “use any cloud.”
Sovereignty and compliance
EU-only, UK-only, or regulated workloads can’t just “use any cloud.”
Styaing up-to-date
Curent and new providers are constantly changing, it's difficult to know where to go.
Styaing up-to-date
Curent and new providers are constantly changing, it's difficult to know where to go.
Effortless Deployment
Choose the right GPUs and regions with confidence.
We analyse pricing, availability, reliability, energy mix, and regional constraints across GPU providers — then guide you to the best setup for your training, tuning, or inference workloads.
Better Decisions
See which GPU provider, region, and instance class makes sense right now based on cost, stability, and job type.
Better Decisions
See which GPU provider, region, and instance class makes sense right now based on cost, stability, and job type.
Energy & Sustainability Insights
Compare hydro, wind, nuclear, and mixed-power regions to match your carbon or sustainability goals.
Energy & Sustainability Insights
Compare hydro, wind, nuclear, and mixed-power regions to match your carbon or sustainability goals.
Flexibility Across Providers
Know when prices shift or capacity tightens.
Flexibility Across Providers
Know when prices shift or capacity tightens.
EU Data Sovereignty
Know exactly which providers and regions meet your data residency or GDPR requirements.
EU Data Sovereignty
Know exactly which providers and regions meet your data residency or GDPR requirements.
Cost Optimisation
Multi-Region Strategy
Workload Guidance
Cluster Stability
Cost Optimisation
Multi-Region Strategy
Workload Guidance
Cluster Stability
Cost Optimisation
Multi-Region Strategy
Workload Guidance
Cluster Stability
Energy Mix Analysis
Sovereignty Mapping
Provider Comparison
Expert Insight
Energy Mix Analysis
Sovereignty Mapping
Provider Comparison
Expert Insight
Energy Mix Analysis
Sovereignty Mapping
Provider Comparison
Expert Insight
Provider-Agnostic
Faster, Smarter Workflows
Data-Driven
How it works.
Here’s how we make it simple.
Tell us your workloads and constraints
Training or inference? Model size? EU-only? Price cap? Latency target?
Tell us your workloads and constraints
Training or inference? Model size? EU-only? Price cap? Latency target?
We map your best-fit GPU providers
We evaluate dozens of providers and regions across real-world pricing, cluster stability, queue times, network performance, power grid characteristics, and sovereignty requirements.
We map your best-fit GPU providers
We evaluate dozens of providers and regions across real-world pricing, cluster stability, queue times, network performance, power grid characteristics, and sovereignty requirements.
You run workloads on your chosen cloud(s)
You maintain full control.
You run workloads on your chosen cloud(s)
You maintain full control.
We continuously monitor and advise
If capacity tightens, prices shift, or better options appear, you get alerts.
We continuously monitor and advise
If capacity tightens, prices shift, or better options appear, you get alerts.
Transparent Pricing, No Surprises
Competitive rates, verified energy sources.
The rates shown are indicative of common deployment configurations.
H100
€3.20
/hr
GPU Type: NVIDIA H100
Training / fine-tuning
Source: 100% renewable
Region: Sweden (hydro)
A100
Popular
€1.60
/hr
GPU Type: NVIDIA A100
Balanced price / performance
Source: 90% renewable
Region: Finland
H100
€3.20
/hr
GPU Type: NVIDIA H100
Training / fine-tuning
Source: 100% renewable
Region: Sweden (hydro)
A100
Popular
€1.60
/hr
GPU Type: NVIDIA A100
Balanced price / performance
Source: 90% renewable
Region: Finland
Your Queries, Simplified
FAQs
Find quick answers to the most common questions about Stonehold Compute
Do you provide the GPUs Directly?
No — Stonehold is provider-agnostic. We don’t resell or rent GPUs. We help you choose the best GPU cloud for your workload based on real data on pricing, availability, reliability, and region constraints.
How do you know which GPU providers are best for me?
We continuously track public and partner data across leading EU/UK GPU providers — including pricing, queue depth, reliability patterns, network performance, energy mix, and sovereignty requirements. This gives you real-time guidance rather than guesswork.
Do I need to switch providers to use Stonehold?
No. You keep your current accounts and run workloads as normal. We help you understand whether you’re on the best setup — and when there’s a better option, we explain why and how to move.
How does Stonehold save teams time or money?
Most AI teams waste weeks testing GPU clouds, comparing costs, and dealing with unstable clusters. Stonehold eliminates this by providing clear recommendations on where to train, tune, or deploy — often reducing compute spend by 20–40% and improving job stability.
Who is Stonehold designed for?
Mid-scale AI teams in Europe and the UK — including applied AI labs, ML infra teams, agent startups, robotics groups, and regulated enterprises — who need reliable GPU access without committing to a single cloud provider.
Feel free to mail us for any enquiries : hello@stoneholdai.com
Your Queries, Simplified
FAQs
Find quick answers to the most common questions about Stonehold Compute
Do you provide the GPUs Directly?
How do you know which GPU providers are best for me?
Do I need to switch providers to use Stonehold?
How does Stonehold save teams time or money?
Who is Stonehold designed for?
Feel free to mail us for any enquiries : hello@stoneholdai.com
Your Queries, Simplified
FAQs
Find quick answers to the most common questions about Stonehold Compute
Do you provide the GPUs Directly?
No — Stonehold is provider-agnostic. We don’t resell or rent GPUs. We help you choose the best GPU cloud for your workload based on real data on pricing, availability, reliability, and region constraints.
How do you know which GPU providers are best for me?
We continuously track public and partner data across leading EU/UK GPU providers — including pricing, queue depth, reliability patterns, network performance, energy mix, and sovereignty requirements. This gives you real-time guidance rather than guesswork.
Do I need to switch providers to use Stonehold?
No. You keep your current accounts and run workloads as normal. We help you understand whether you’re on the best setup — and when there’s a better option, we explain why and how to move.
How does Stonehold save teams time or money?
Most AI teams waste weeks testing GPU clouds, comparing costs, and dealing with unstable clusters. Stonehold eliminates this by providing clear recommendations on where to train, tune, or deploy — often reducing compute spend by 20–40% and improving job stability.
Who is Stonehold designed for?
Mid-scale AI teams in Europe and the UK — including applied AI labs, ML infra teams, agent startups, robotics groups, and regulated enterprises — who need reliable GPU access without committing to a single cloud provider.
Feel free to mail us for any enquiries : hello@stoneholdai.com
Trusted Providers
Stop losing time comparing clouds.
Stop wasting time comparing clouds.
Get the clarity your team deserves.