Orion AI Factory

• NVIDIA Blackwell B200 GPU computing infrastructure
• GPU resources for AI model training and fine-tuning
• High-performance AI inference services
• Preconfigured development environments for PyTorch, TensorFlow, and RAPIDS
• Browser-based JupyterLab access and SSH connectivity through local development tools
• Persistent storage for code, models, and development environments
• Private container registry for AI models and software images
• NVIDIA AI Enterprise software stack and optimized AI frameworks
• Pay-as-you-go inference billing based on input and output tokens
• Serbia-based infrastructure designed for data sovereignty and enterprise compliance

What Is Orion AI Factory?

Orion AI Factory is an enterprise AI infrastructure platform operated by Orion Telekom in Serbia. It provides computing resources, software environments, storage, and deployment services for organizations developing and operating artificial intelligence systems. Rather than focusing on individual AI applications, the platform supplies the underlying infrastructure needed to build, train, fine-tune, and run AI models.

The service is built around NVIDIA Blackwell B200 GPU infrastructure and combines AI development environments, model training, inference, and private storage. Its primary audience includes businesses, AI startups, financial institutions, and enterprise teams that require dedicated computing resources and greater control over where their data is stored and processed.

NVIDIA GPU Computing Infrastructure

Orion AI Factory provides access to NVIDIA B200 GPU resources for demanding AI workloads. Customers can select infrastructure packages based on their computing requirements, ranging from development and debugging to model training and high-volume inference.

The Entry package offers a quarter of a GPU allocation with 48 GB of GPU memory. Pro provides half a GPU allocation with 96 GB, while Max and Enterprise offer a full GPU allocation with 192 GB. The appropriate configuration depends on the size of the model, workload complexity, and memory requirements.

AI Model Training and Fine-Tuning

The platform supports the development and training of AI models, including fine-tuning workflows. Organizations can use its GPU resources to experiment with models, adapt existing models to specialized tasks, and prepare AI systems for production use.

Its computing packages target different workloads. Entry is positioned for development, debugging, lighter training, and smaller inference deployments. Pro supports medium-sized training and fine-tuning tasks, while Max is intended for more demanding workloads such as large language model training and intensive inference.

Managed AI Development Environments

Orion AI Factory provides preconfigured development environments intended to reduce the setup work associated with drivers, CUDA dependencies, software libraries, and other infrastructure components. Supported software stacks include PyTorch, TensorFlow, and RAPIDS.

Developers can work through a browser-based JupyterLab environment or connect from local development tools using SSH. Teams can create multiple environments for different projects, monitor session status, and pause or resume work while retaining persistent development data.

AI Inference and Model Deployment

The platform supports inference workloads for organizations moving AI applications from development into production. Teams can deploy models and use inference endpoints to integrate AI capabilities into business applications, internal workflows, and customer-facing services.

Orion also offers a separate pay-as-you-go inference service. This option lets eligible business customers access supported models through an API without independently configuring GPU infrastructure. Billing is calculated from input and output token usage, with monthly usage reporting and no predefined consumption commitment under the advertised model.

Platform+ and NVIDIA AI Enterprise

Platform+ is the software foundation for Orion AI Factory’s enterprise AI environment. It is based on the NVIDIA AI Enterprise software stack and provides access to supported frameworks and technologies for generative AI, computer vision, speech processing, multimodal systems, cybersecurity, and deep learning.

The framework ecosystem includes technologies such as NeMo, Megatron, Riva, DeepStream, RAPIDS, PyTorch, and TensorFlow. The available components support different workloads, from speech recognition and synthesis to computer vision pipelines and large language model development. Access to specific frameworks or enterprise software licences depends on the selected service configuration.

Private Storage and Container Registry

Orion AI Factory provides storage for AI models, container images, and development assets alongside its computing infrastructure. Its private container registry is designed to keep internal images and pipelines within the platform environment instead of relying exclusively on public registries.

The storage environment uses high-performance local storage technology and includes access controls. The platform also describes an NVIDIA NGC proxy cache intended to improve access to NVIDIA models and frameworks. These capabilities can help organizations manage software dependencies and protect valuable model assets during development and deployment.

Data Sovereignty and Security

A central part of Orion AI Factory’s offering is data sovereignty. The infrastructure is hosted in Serbia, and the company states that customer data is stored and processed within the country under its applicable legal framework. This approach is designed for organizations that have specific data-location, governance, and regulatory requirements.

The platform also provides controlled access to private storage and describes security mechanisms within its enterprise software stack. Organizations should evaluate the service agreement, technical controls, applicable laws, and their own compliance requirements before deciding whether the infrastructure meets their needs.

Enterprise Support and Service Activation

Orion AI Factory offers direct access to engineering and operations teams, along with support arrangements that can include service-level agreements. The company advertises 24-hour coverage for critical incidents and consulting for architecture design and model optimization during business hours.

Its service onboarding process is intended for business customers. Customers choose a package, configure the required resources, submit company details, select a payment method, and complete the order process. The company states that service activation generally occurs within 24 hours after payment, subject to the applicable terms and order requirements.

Pricing and Service Packages

Orion AI Factory uses hourly pricing for its GPU infrastructure packages. The listed Entry package starts at €3.00 per hour, Pro costs €5.50 per hour, Max costs €8.90 per hour, and Enterprise costs €9.78 per hour. Prices are shown excluding VAT, and payments are processed in Serbian dinars using the applicable exchange rate.

Additional storage is available as an add-on, with a listed price of €50 per month for 1 TB. Pay-as-you-go inference is priced separately according to model-specific input and output token rates. Total costs depend on the chosen resources, runtime, additional software licences, storage, and usage.

Who Should Use Orion AI Factory?

Orion AI Factory is designed for organizations that need substantial computing resources for AI development and production. Potential users include AI startups, enterprise software teams, financial institutions, healthcare organizations, infrastructure operators, and research teams working within eligible business arrangements.

It is particularly relevant to companies that need GPU capacity for model training or inference and want their infrastructure located in Serbia. The service is intended for legal entities and entrepreneurs conducting business activities rather than individual consumers.

Frequently Asked Questions

What is Orion AI Factory used for?

Orion AI Factory provides infrastructure for AI development, model training, fine-tuning, inference, storage, and enterprise AI deployment.

Which GPUs does Orion AI Factory use?

The platform offers NVIDIA Blackwell B200 GPU infrastructure, with packages providing different GPU allocations and memory capacities.

Does Orion AI Factory provide preconfigured development environments?

Yes. It provides managed environments with supported AI software stacks, including PyTorch, TensorFlow, and RAPIDS, with browser-based JupyterLab and SSH access options.

Does Orion AI Factory support AI model inference?

Yes. It offers inference infrastructure and a separate pay-as-you-go service that provides API access to supported models, with billing based on token usage.

Where is Orion AI Factory hosted?

The infrastructure is operated from Serbia. The company positions its services around local data storage and processing, subject to its service terms and applicable regulations.

How much does Orion AI Factory cost?

GPU infrastructure packages start at €3.00 per hour for Entry. Other packages have higher hourly rates, while inference uses separate token-based pricing. Listed prices exclude VAT.

Can individuals sign up for Orion AI Factory?

The published terms state that Orion AI Factory services are intended for business users, including legal entities and entrepreneurs, rather than individual consumers.

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