
MosaicML Cloud (Databricks)
WaitlistBest for Enterprises pre-training custom LLMs on proprietary data securely.
GPUs: H100, A100
Compare 17+ verified AI infrastructure providers with data centers in EU. Find the best pricing for H100, A100, and RTX GPU clusters — and get matched within 24 hours.
EU has emerged as one of the most competitive markets for AI and GPU cloud computing infrastructure. With 17 providers operating in the region, businesses and researchers have access to a diverse range of GPU configurations — from cost-effective RTX 4090 setups ideal for inference workloads, to bare-metal H100 NVLink clusters built for large-scale model training.
Whether you're training a large language model, running real-time inference at scale, or building a GPU-accelerated data pipeline, providers in EU offer competitive pricing, low-latency connectivity, and enterprise-grade SLAs. Many providers in this region offer hourly, monthly, and reserved instance pricing — ensuring flexibility for startups and enterprises alike.
GPU pricing in EU is broadly in line with global averages, though local providers often undercut hyperscalers by 20–40%. Expect to pay $0.50–$2.00/hr for mid-range GPUs (RTX 4090, A6000) and $2.00–$8.00+/hr for premium H100 and A100 instances. Reserved and committed-use discounts of 30–60% are commonly available.
Demand for GPU compute in EU is growing rapidly, driven by the explosion of generative AI, LLM fine-tuning projects, and computer vision applications. Providers in this region have been expanding capacity to meet demand, but high-end H100 instances can still have waitlists — so it's worth securing capacity in advance.

Best for Enterprises pre-training custom LLMs on proprietary data securely.
GPUs: H100, A100

Best for Governments and top-tier research institutions requiring true supercomputing architectures for AI.
GPUs: H100, Cray Supercomputing

Best for Developers deploying containerized AI inference APIs without managing servers.
GPUs: L40S, A100, RTX 4000

Best for Engineering teams looking to deploy complex, multi-model inference pipelines without managing Kubernetes clusters.
GPUs: A100, L4, T4

Best for Enterprises and government agencies requiring highly secure, full-stack infrastructure for computer vision and unstructured data modeling.
GPUs: Managed Infrastructure

Best for Enterprise teams prioritizing rapid AI deployment, AutoML, and strict model governance.
GPUs: A10G, T4, Managed Cloud GPUs

GPUs: H100, A100, H200

GPUs: H100, A100, RTX 4090, RTX 3090

Best for Teams running massive LLM inference utilizing Apple's unified memory, or developing iOS-native AI applications.
GPUs: Apple Silicon (M2/M3/M4 Ultra)

Best for Organizations looking to rapidly deploy generative AI and RAG applications using a fully managed platform.
GPUs: A100, T4, Managed Clusters

Best for Researchers and enterprise teams tackling massive, intractable optimization and logistical ML problems.
GPUs: Quantum Annealer (Advantage System)

Best for Established AI businesses needing long-term, dedicated bare-metal servers with massive global bandwidth capacity.
GPUs: A100, RTX A6000, Tesla T4

Best for Enterprise IT requiring automated, isolated bare-metal servers with high bandwidth.
GPUs: A100, RTX A6000, L40S

Best for Researchers and teams running highly sparse machine learning models that struggle on GPUs.
GPUs: Bow IPU

Best for Global deployments utilizing alternative AI hardware like Ascend processors.
GPUs: Ascend 910, V100

Best for Mid-sized enterprises running VMware environments needing secure, localized vGPU access for AI.
GPUs: vGPU (NVIDIA T4, A40)

Best for Teams needing powerful virtual GPU desktops for visualization and prototyping.
GPUs: RTX A5000, T4, A40
There are currently 17 verified GPU cloud providers with infrastructure in EU listed on ComputeStacker. These include providers offering H100, A100, and other high-performance GPUs for AI training and inference workloads.
GPU cloud pricing in EU varies by GPU type and configuration. Entry-level GPUs (RTX 4090, A6000) start from around $0.50–$2/hr, while enterprise-grade H100 and A100 clusters range from $2–$8/hr per GPU. Use our comparison tool to find the best rates.
EU has a growing AI infrastructure ecosystem with competitive pricing, reliable connectivity, and proximity to enterprise customers. Several tier-1 data centers operate in the region, making it a strong choice for latency-sensitive AI applications.
Yes. Use the "Get a Quote" button to submit your requirements. ComputeStacker will match you with providers available in EU within 24 hours — no commitment required.