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AI-ready Dedicated Private Cloud GPUs

Deploy NVIDIA L4, L40S, RTX 6000, H100 & B200, B300 GPUs

Experience exceptional performance across a range of demanding applications with our GPU Servers, from generative AI, LLM inference, and AI model training to 3D rendering and video processing.

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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.
AI/ML-ready Ubuntu template

Get started quickly with drivers & tooling pre-installed.
Zero cost egress

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

Available from our new flagship Nordic AI data center

Deploy NVIDIA B200 and B300 infrastructure

Reserve Dedicated GPU Cluster capacity in 8-, 16-, 32- or 64-node configurations, with InfiniBand-enabled clustering, flexible commercial terms, and delivery from December 2026.

Discover Dedicated GPU Clusters

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.

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Private Cloud GPU 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.

GPU Server Hardware

NVIDIA L4

Cost-effective AI Inference, High-throughput Video Processing, and Edge AI deployments. Optimized for low-latency, energy-efficient operations.

The NVIDIA L4 Tensor Core GPU powered by the NVIDIA Ada Lovelace architecture delivers universal, energy-efficient acceleration for video, AI, visual computing, graphics, virtualization, and more.

NVIDIA L40S

Generative AI, Mid-to-Large Scale AI Model Training and Inference, Real-time 3D Rendering, Virtual Production, and High-Performance Computing (HPC) simulations.

The NVIDIA L40S GPU is the most powerful universal GPU for the cloud, delivering end-to-end acceleration for the next generation of AI-enabled applications.

NVIDIA RTX PRO 6000 Blackwell Server (Coming soon)

UpCloud GPU NVIDIA RTX PRO 6000 Blackwell Server

Agentic and Generative AI, LLM Inference, AI-Driven Rendering, 3D Graphics, Video Processing, Scientific Computing, and Data Analytics.

The NVIDIA RTX PRO 6000 Blackwell Server Edition delivers powerful AI and visual computing performance for demanding enterprise workloads. Powered by the NVIDIA Blackwell architecture and equipped with 96 GB of GDDR7 memory, it accelerates complex AI models, photorealistic rendering, simulations, and data-intensive workflows.

NVIDIA H100

The NVIDIA H100 GPU delivers exceptional performance, scalability, and security for every workload. H100 uses breakthrough innovations based on the NVIDIA Hopper™ architecture to deliver industry-leading conversational AI, speeding up large language models (LLMs) by 30X.

H100 also includes a dedicated Transformer Engine to solve trillion-parameter language models.

NVIDIA B200

Generative AI, Large-Scale AI Model Training and Inference (LLMs), High-Performance Computing (HPC) simulations, Scientific Computing, and Data Analytics.

The NVIDIA B200 GPU, powered by the Blackwell architecture, is the world’s most powerful AI chip, designed to power a new era of computing with up to 4x faster training and 30x faster inference than previous generations.

NVIDIA B300 (Coming soon)

Advanced AI Reasoning, Large-Scale AI Model Training and Inference, Agentic and Multimodal AI, High-Performance Computing (HPC), Scientific Computing, and AI Factory deployments.

The NVIDIA B300 GPU, powered by the Blackwell Ultra architecture, is designed for the next generation of AI reasoning and large-scale accelerated computing. With up to 288 GB of HBM3e memory and 8 TB/s of memory bandwidth, B300 delivers 1.5x greater dense FP4 performance and 2x higher attention performance than B200, accelerating long-context models, complex inference, and training at data-center scale.

Reserve Dedicated GPU Clusters

Reserve your NVIDIA B200 and B300 Dedicated GPU Clusters with 8, 16, 32, or 64-node configurations in UpCloud’s upcoming flagship Nordic AI data center.

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Built for modern demands

Multi-workload acceleration

Render, analyze & transform

Supercharge your visual data workflows. From high-resolution video transcoding and analysis to advanced image recognition and manipulation, these GPUs provide the massive parallel processing power for demanding media tasks, accelerating production and enabling new creative possibilities.

Instant insights

Unlock real-time insights with our NVIDIA GPUs. Significantly accelerate the deployment of trained machine learning models, delivering low-latency inference for faster, more responsive AI-driven experiences.

Smarter language, fast!

Accelerate the understanding and generation of human language. These GPUs significantly speed up natural language processing (NLP) tasks like sentiment analysis, text summarization, and conversational AI, empowering you to build more sophisticated and efficient language-based applications faster.

Private Cloud GPU Pricing

AI-Ready Private Cloud

L4 GPU nodes

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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

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

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

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Get in touch

Contact our cloud engineers to get your Private GPU Cloud deployed.

Compare the models

GPU Model Specifications

UpCloud’s Dedicated GPU Servers offer a range of GPU models with the unique ability to scale the server and GPUs as needed.

	NVIDIA L4	NVIDIA L40S	NVIDIA RTX PRO 6000 Blackwell Server Edition	NVIDIA H100	NVIDIA B200	NVIDIA B300
Primary use case	Energy-efficient accelerator for AI inference, video transcoding, graphics/VDI and edge deployments	Multi-workload “universal” GPU – GenAI, LLM training & inference, 3D graphics, rendering, video	Agentic and generative AI, 3D rendering, visual computing, video processing, scientific computing and data analytics	High-traffic inference, massive batch processing and large-model training	Trillion-parameter model inference, model training, running complex models in real-time	Advanced AI reasoning, large-scale model training and inference, agentic and multimodal AI, HPC and AI factory workloads
Architecture	Ada Lovelace	Ada Lovelace	Blackwell	Hopper	Blackwell	Blackwell Ultra
GPU Memory	24GB GDDR6	48GB GDDR6	96GB GDDR7	80GB HBM3e	180GB HBM3e	288GB HBM3e
Memory Bandwidth	300GB/s	864GB/s	1.6TB/s	3.35TB/s	8.0TB/s	8.0TB/s
Peak compute	FP32 30.3 TFLOPS FP8 Tensor 0.48 PFLOPS	FP32 91.6 TFLOPS FP8 Tensor 1.46 PFLOPS	FP32 120 TFLOPS FP8 Tensor 2.00 PFLOPS	FP32 67 TFLOPS FP8 Tensor 3.90 PFLOPS	FP32 74.45 TFLOPS FP8 Tensor 9.00 PFLOPS	FP8 Tensor 9.00 PFLOPS FP4 Tensor 18.00 PFLOPS

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Develop AI without giving up control

With our GPU servers, you keep full control over your data, your models, and your infrastructure.

Privacy-first by design: Hosted in Finland, your AI workloads stay in GDPR-compliant data centers with strong jurisdictional protections.

Open-source aligned: Whether you’re fine-tuning LLaMA, deploying open-source LLMs, or building on PyTorch etc, our infrastructure doesn’t impose restrictions or hidden service layers.

No platform dependencies: Unlike hyperscalers, we don’t force you into proprietary ML platforms or opaque orchestration layers.

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Sustainable media processing

Innovate responsibly. Our Helsinki data center routes excess heat generated from our GPUs directly into the city’s district heating network. This makes our GPU offering in Helsinki one of the most environmentally friendly options on the market, contributing to a greener future while powering your creative endeavors.

Our Helsinki data center is powered by 100% renewables and routes excess heat generated from our GPUs into the city’s district heating network. This makes our GPU offering in Helsinki one of the most environmentally friendly options on the market, contributing to a greener future while powering your AI.

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

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