Polcom AI Cloud | Chmura dla biznesu Polcom

A comprehensive cloud-based AI environment

The service combines high-performance GPU infrastructure, AI-as-a-Service solutions, and environments for working with language models and RAG technology. This allows organisations to run AI projects in a secure, high-performance and scalable cloud located in Poland. Polcom AI Cloud is capable of supporting both advanced computational workloads, such as model training and fine-tuning, and production environments used for inference, process automation, data analysis and working with corporate knowledge bases.

GPU infrastructure tailored to the needs of AI

Modern artificial intelligence algorithms require much more than standard cloud computing. AI projects require high levels of parallel processing power, rapid data access, low latency and a stable environment that maintains performance even under heavy load.

Polcom AI Cloud is an infrastructure designed to handle demanding AI workloads, including language models, generative AI solutions and projects requiring intensive graphics processing.

Key elements of the environment:

Powerful GPU computing power

Access to high-performance graphics accelerators, which form the basis for parallel computing, model training, fine-tuning and efficient inference

Ultra-fast DDR5 RAM

The latest generation of RAM ensures efficient data transfer between the processor, memory and GPUs

High-performance NVMe storage

NVMe-based storage reduces latency and increases bandwidth when working with large datasets

High-density infrastructure

Polcom’s data centres in Poland have been designed to support high power density, a stable power supply and efficient cooling of AI computing clusters

Why choose Polcom’s Polish AI cloud?

In projects based on artificial intelligence, the performance of the infrastructure is not the only consideration; control over the data, models and the entire data processing environment is also important. This is particularly relevant for organisations dealing with confidential data, personal data, internal documentation, information protected by trade secrets, or materials that are of significance from an intellectual property perspective.

Polcom AI Cloud is an environment in which data, models and computational processes can be hosted on infrastructure located in Poland. It provides a valuable alternative for organisations that wish to harness the potential of AI whilst minimising the risks associated with data transfer, reliance on external public models, or a lack of full control over where data is processed.

The service supports requirements relating to security, compliance and data sovereignty by providing an environment in which:

data is processed and stored in Poland,
the organisation retains greater control over the lifecycle of data and models,
AI models are developed and deployed in an isolated environment,
the infrastructure is tailored to the requirements of regulated industries,
AI projects do not require investment in proprietary servers, GPUs, cooling systems or data centre facilities.

This approach is of particular importance in the public sector, finance, healthcare, industry, technology companies and organisations that are implementing AI in processes requiring a high level of confidentiality.

For which target audience is Polcom AI Cloud intended?

Polcom AI Cloud has been designed for organisations that wish to implement artificial intelligence in a secure, controlled manner that is tailored to their business requirements. The service is suitable for both test environments and production AI deployments.

Polcom AI Cloud products are designed for customers who wish to develop their own models and require high computing power (GPU-based IaaS), as well as for model users who value privacy and wish to utilise dedicated endpoints (AIaaS). End users who wish to implement RAG-based artificial intelligence solutions within their organisations are welcome to do so with our assistance.

Polcom AI Cloud allows you to initiate a project with a specific business scenario in mind, and then select the appropriate GPU resources, billing model, runtime environment and data isolation level to suit that scenario.

Examples of Polcom AI Cloud applications

Artificial intelligence has the potential to support a wide range of operational areas within a company. However, for this technology to be effective, it requires a stable infrastructure and strict control over data. Polcom AI Cloud facilitates the development of AI solutions that are tailored to real-world business processes, as opposed to being merely experimental in nature.

Examples of how the service can be used:

training and fine-tuning AI models,
deploying language models in a corporate environment,
generating responses using pre-trained AI models,
deploying chatbots and AI assistants,
analysing documents, reports, contracts and internal data,
automating customer service and employee support,
building RAG systems based on corporate knowledge bases,
processing large volumes of text, image and multimodal data,
creating test and production environments for AI applications,
deploying open-source models in a controlled infrastructure.

Polcom AI Cloud’s flexible approach allows it to support both individual pilot projects and long-term AI development strategies within an organisation.

Available Polcom Cloud AI solutions:

IaaS with GPU

Details

RAG: How AI Models Work with Company Data

Details

Polcom AI as a Service

Details

The pricing models of AIaaS

The financial implications of AI projects are contingent on various factors, including the model type, the volume of queries, the performance requirements, the level of environment isolation, the scale of processing, and the expected SLA. Polcom AI Cloud is able to offer pricing models that can be tailored to the nature of the project, which is why it is the preferred option for businesses.

Available models:

Pay-per-token – flexible billing based on actual usage for the most popular models. This is a good solution for test projects, fluctuating workloads, or applications where it is difficult to predict query volumes at the outset.
Per-instance billing – a fixed, predictable cost for exclusive access to the entire model instance, along with a specified SLA level. This model is ideal for production projects where stable performance and control over resources are important.
Shared access – cost optimisation through access to models hosted on shared infrastructure. This option is suitable for less critical applications or projects at an earlier stage of development.

Before selecting an appropriate billing model, it is recommended that an analysis of the usage scenario, anticipated traffic, data privacy requirements and expected application performance is conducted.

Polcom AI Cloud versus global public clouds

Global public clouds offer broad access to AI services, but not every organisation is able or willing to base its projects on an infrastructure where data location, reliance on external models and the cost model are more difficult to tailor to individual needs.

Polcom AI Cloud is an alternative for businesses that require greater control over their infrastructure and data. With data centres located in Poland, the option to utilise dedicated resources, and a bespoke approach to environment configuration, it enables the creation of solutions tailored to an organisation’s specific requirements.

Key differences:

infrastructure located in Poland,
greater control over the data processing location,
the ability to work in an environment isolated from public models,
dedicated GPU resources for demanding projects,
predictable pricing models,
expert support in designing the AI environment,
the ability to tailor the solution to compliance requirements and regulated industries.

This approach is particularly effective when AI is intended to be an integral part of business processes, rather than a technology trial.

How do you start an AI-based project on Polcom AI Cloud?

It is recommended that you initiate your AI implementation by defining a specific business objective and technical requirements.

The process may include:

analysis of the planned AI application,
determination of the type of data and processing requirements,
selection of the model or solution architecture,
selection of appropriate GPU resources,
determination of expected performance and SLA levels,
selection of a billing model,
preparation of a test or production environment.

This approach enables the organisation to initiate the project as a pilot scheme, with the option to expand it as business requirements evolve.

Let’s discuss how to safely implement AI in your organization

Polcom AI Cloud facilitates the development of artificial intelligence projects within a high-performance environment that combines data control and flexible infrastructure usage models. It is a solution for organisations that wish to implement AI in a considered and secure manner, using resources tailored to their actual business needs.

Consult Polcom’s experts on your project to find out how to select the right GPU infrastructure, AIaaS model or RAG solution for your planned implementation.

FAQ

Polcom AI Cloud is a cloud environment for artificial intelligence projects. It combines GPU infrastructure, AI-as-a-Service offerings and RAG solutions, enabling companies to develop and deploy AI models in a secure cloud located in Poland.

An AI cloud is designed for workloads that require high computing power, fast data access and efficient parallel processing. In practice, this means using GPUs, high-speed memory, NVMe storage and infrastructure optimised for working with AI models.

When a project demands substantial computing power but the organisation is not prepared to invest in its own servers, GPUs and data centre infrastructure, GPU-powered IaaS is an excellent solution. This solution is ideal for model training, fine-tuning, inference, big data analysis and generative AI projects.

AI as a Service is a model for accessing AI services without the need to manage the entire hardware and system infrastructure yourself. Organisations use a ready-made environment to run models, integrate with applications and scale AI solutions.

The Polcom AI Cloud is based on infrastructure located in Poland. This enables organisations to exercise greater control over the processing of data, as well as over computational models and processes. This enables organisations to exercise greater control over the processing of data, as well as over computational models and processes.

Please be advised that Polcom does not utilise customer data for the training of its own or public language models.

RAG can be used to build AI assistants, corporate knowledge search engines, document analysis systems, employee support tools and query handling automation. The AI model is capable of providing responses to questions based on specific documents and data from the organisation.

The choice of billing model depends on the scale of the project, the number of queries, the required performance, and the level of environment isolation. Depending on the nature of the workloads, a pay-per-token model may be more appropriate, whereas for production environments, billing per dedicated instance is often a more suitable option.