hero mobile products 79 - Private Cloud GPUs
hero products 79 - Private Cloud GPUs

Dedicated GPU performance inside your secure Private Cloud

Get the raw power you need for AI and high-performance computing, without compromising on security or data control.

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Mikko, Head of Cloud Architecture

  • Perfect for AI/ML & Media

    Power through demanding AI, machine learning, and media rendering workloads with dedicated GPU performance.

  • Zero platform lock-in

    Your cloud, your choice. Build on open standards without the fear of vendor lock-in.

  • Zero cost egress

    Move your data freely. We offer zero egress fees for true cost predictability.

Your Private AI infrastructure awaits

Our Private Cloud GPU solution offers the ultimate combination of performance and privacy. It integrates the raw computational power of our dedicated NVIDIA GPU servers into our exclusive Private Cloud infrastructure. This creates a secure, single-tenant environment where you have full control over your hardware, data, and AI-driven future.

Private Cloud Hosting for Enterprise - Private Cloud GPUs

Key features & benefits

5th gen AMD EPYC Turin hardware benchmark comparison - UpCloud.com

Uncompromised performance and privacy

Leverage the full potential of dedicated AMD EPYC 9575F Turin hardware and NVIDIA GPUs in an environment that is physically isolated for your exclusive use. Your data, models, and infrastructure remain yours, shielded from external threats and compliant with GDPR.

Dedicated NVIDIA GPUs: Guaranteed, consistent performance for AI/ML, LLM inference, and 3D rendering without shared hardware.

Physically isolated hardware: Your entire cloud runs on dedicated hosts, ensuring your data is secure and isolated.

MaxIOPS Block Storage: Industry-leading storage performance for your most demanding workloads.

Available GPU Hardware

NVIDIA H200 NVL

Cutting-Edge AI Training, Massive Large Language Model (LLM) Training and Inference, Complex Scientific Simulations, and High-Performance Computing (HPC) at scale.

For LLMs up to 70 billion parameters (Llama 2 70B), NVIDIA H200 NVL utilizes Transformer Engine and 141GB HBM3e memory to provide optimum performance and easy scaling.

Compare the models

GPU Model Specifications

NVIDIA H200 NVL NVIDIA L40S NVIDIA L4
Primary use case Max-scale LLM inference,
large-model training and HPC		 Multi-workload “universal” GPU – GenAI,
LLM training & inference, 3D graphics,
rendering, video		 Energy-efficient accelerator for AI inference,
video transcoding, graphics/VDI
and edge deployments
Architecture Hopper Ada Lovelace Ada Lovelace
GPU Memory 141GB HBM3e 48GB GDDR6 24GB GDDR6
Memory Bandwidth 4.8TB/s 864GB/s 300GB/s
Peak compute FP32 67 TFLOPS
FP8 Tensor 3.3 PFLOPS (with sparsity)		 FP32 91.6 TFLOPS
FP8 Tensor 1.5 PFLOPS (with sparsity)		 FP32 30.3 TFLOPS
FP8 Tensor 485 TFLOPS (with sparsity)

GPU use cases

Making the most of

Secure AI/ML development

Train and deploy proprietary models on sensitive data within a secure, isolated environment.

Confidential data processing

Analyze large, confidential datasets for financial modeling, healthcare research, or legal analysis.

High-performance computing (HPC)

Conduct complex simulations and rendering for engineering, scientific research, and media production in a controlled environment.

Regulated industries

Meet strict compliance requirements for industries like finance, healthcare, and government by operating in a physically separate and secure cloud.

Video editing & Post-production

Perfect for agencies, media companies, and content creators, dramatically cut rendering times and speed up project delivery.

Private Cloud GPU Pricing

AI-Ready Private Cloud

L4 GPU nodes starting at $4830 per month

1x GPU per node

L4

NVIDIA

AMD EPYC 9575F

64 CPU cores / 128 threads

1280 GB memory

1 x NVIDIA L4 GPU accelerator

24GB GPU Memory

Up to 350 VMs, including 1 GPU VM

2x GPUs per node

L4

NVIDIA

AMD EPYC 9575F

64 CPU cores / 128 threads

1280 GB memory

2 x NVIDIA L4 GPU accelerators

24GB GPU Memory

Up to 350 VMs, including 1-2 GPU VMs

3x GPUs per node

L4

NVIDIA

AMD EPYC 9575F

64 CPU cores / 128 threads

1280 GB memory

3 x NVIDIA L4 GPU accelerators

24GB GPU Memory

Up to 350 VMs, including 1-3 GPU VMs

Pioneering Sovereign AI in Europe with Cloud2

Responding to market demands, Cloud2 recognized the need for robust, European-centric infrastructure capabilities with geopolitical shifts further intensifying the demand for trusted alternatives to US-based clouds and services.

“Organizations across Europe are specifically seeking a fully European AI solution they can confidently rely on, which prioritises data security and sovereignty. These demands extend to include a predictable, transparent cost model for scaling AI agents and LLM workloads in production.”
– Jarno Lepistö, Director of AI & Automation at Cloud2

Read full case study

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Ready to combine world-class performance with unmatched privacy?

Our experts are ready to help you design a custom Private Cloud GPU environment tailored to your specific needs.

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Frequently Asked Questions

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