High-Performance GPU as a Service
Empower Your AI & ML Projects with Enterprise-Grade GPU Infrastructure
Empower your most demanding computational projects with Cloud Acropolis GPU Services. Whether you are training massive neural networks or deploying agile AI applications, our infrastructure provides the raw power and scalability you need to innovate without the capital expense of hardware.
We offer two distinct tiers tailored to your specific workload requirements:
Dedicated Bare Metal GPU Servers
Heavy-Duty Workloads
For enterprises requiring ultimate performance and zero resource contention, our Dedicated Bare Metal servers offer a high-density GPU environment.
- Configuration: Up to 4x NVIDIA V100 or A100 GPUs per physical machine
- Best For: Large-scale Deep Learning training, complex 3D rendering, scientific simulations, big data analytics
- Key Advantage: Full control over hardware stack with 100% dedicated resources, ensuring maximum throughput and lowest latency
Email us your needed configuration to [email protected] and we will send you a quote within 48 hours
GPU-Accelerated Virtual Machines
AI & LLM Deployment
Our GPU-attached VMs offer the perfect balance of flexibility and power, allowing you to scale your AI capabilities quickly and efficiently.
- Configuration: Up to 2x NVIDIA V100 or A100 GPUs per VM
- Best For: Running Large Language Models (LLMs), AI inference, internal generative AI tools, specialized software development
- Key Advantage: Rapid provisioning and cost-effective scaling. Ideal for processing AI workloads internally within a secure, isolated virtual environment
Email us your needed configuration to [email protected] and we will send you a quote within 48 hours
Why Choose Cloud Acropolis for GPUaaS?
Enterprise-Grade Hardware
Access industry-leading NVIDIA V100 and A100 Tensor Core GPUs for maximum AI/ML performance.
Data Sovereignty
Process your sensitive AI workloads internally on our secure infrastructure within the EU.
Scalability
Start with a single VM and transition to dedicated clusters as your data needs grow.
Local Support
Benefit from Cloud Acropolis's expertise in high-availability hosting and cloud management.
Feature Comparison
| Feature | Dedicated Bare Metal Server | GPU-Accelerated VM |
|---|---|---|
| GPU Models | NVIDIA V100 / A100 | NVIDIA V100 / A100 |
| Max GPUs | Up to 4 GPUs | Up to 2 GPUs |
| Environment | Physical (Single-tenant) | Virtualized (Shared Host) |
| Performance | Maximum; no virtualization overhead | High; optimized for agility |
| Best Use Case | Massive training & 3D rendering | LLM Inference & Internal AI tools |
| Control | Full hardware/BIOS access | OS-level control |
Which One is Right for You?
Choose Dedicated Bare Metal if:
-
You are running long-term, high-intensity training sessions where every second of compute time matters
-
You need to utilize the maximum memory bandwidth of 4 interconnected GPUs
-
You require a "quiet neighborhood" with no other users sharing the physical hardware
Choose GPU VMs if:
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You are deploying Large Language Models (LLMs) for internal company use
-
You need to quickly spin up an environment for testing or short-term AI inference projects
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You want a cost-effective way to integrate AI acceleration into your existing cloud architecture
Ready to Accelerate Your Innovation?
Contact our team today to find the right GPU configuration for your project.
Related Services
LLM as a Service
Deploy and run large language models with our managed LLM infrastructure.
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