Server rental store

AI in Latvia

---

# AI in Latvia: Server Configuration and Landscape

This article details the current server configuration landscape supporting Artificial Intelligence (AI) initiatives within Latvia. It is intended as a technical overview for newcomers contributing to the MediaWiki infrastructure supporting these projects. The information presented is current as of late 2023 and early 2024. Please refer to External Resources for the most up-to-date details.

Overview

Latvia is experiencing growing interest and investment in AI, particularly within sectors like fintech, healthcare, and logistics. This has necessitated a robust and scalable server infrastructure. Currently, the deployment model is a hybrid approach, leveraging both on-premise data centers and cloud services, primarily from providers operating within the European Union. Security and data sovereignty are key considerations, driving a preference for EU-based infrastructure. The Latvian IT Infrastructure Agency plays a critical role in coordinating infrastructure development.

On-Premise Data Center Specifications

Several key research institutions and companies maintain on-premise data centers. These centers generally prioritize high-performance computing (HPC) capabilities to support machine learning (ML) model training and deployment. The following table details the typical specifications of a medium-sized on-premise AI server cluster:

Component Specification Quantity (per cluster)
CPU Dual Intel Xeon Gold 6338 (32 cores/64 threads per CPU) 16
RAM 512 GB DDR4 ECC Registered 3200MHz 16
GPU NVIDIA A100 80GB 8
Storage (OS & Applications) 2 x 1TB NVMe PCIe Gen4 SSD (RAID 1) 16
Storage (Data) 10 x 16TB SAS HDD (RAID 6) 1
Network Interface 100Gbps Ethernet 2
Power Supply 2000W Redundant Power Supplies 2

These servers typically run Linux, often a distribution like Ubuntu Server or CentOS, chosen for their stability and broad software support. Containerization technologies like Docker and orchestration platforms like Kubernetes are widely used for application deployment and management. Monitoring Systems such as Prometheus and Grafana are also essential for maintaining optimal performance.

Cloud Service Provider Landscape

While on-premise infrastructure handles sensitive data and specialized workloads, cloud services provide scalability and cost-effectiveness. The most commonly used providers in Latvia include:

Provider Services Utilized Region Compliance
Amazon Web Services (AWS) EC2, S3, SageMaker, Lambda Frankfurt (EU-Central-1) GDPR, ISO 27001
Microsoft Azure Virtual Machines, Blob Storage, Azure Machine Learning, Azure Functions West Europe (EU-West) GDPR, ISO 27001
Google Cloud Platform (GCP) Compute Engine, Cloud Storage, Vertex AI, Cloud Functions Frankfurt (EU-West) GDPR, ISO 27001

The choice of provider often depends on the specific AI framework being used. For example, TensorFlow integrates well with GCP, while PyTorch has strong support across all three major providers. Virtualization is a core component of cloud deployments, allowing for rapid scaling and resource allocation.

Networking and Security Considerations

The network infrastructure supporting AI applications in Latvia is undergoing significant upgrades to handle the increased bandwidth demands of data transfer and model deployment. 5G connectivity is expanding, providing faster and more reliable wireless access.

Security is paramount. All data centers and cloud deployments adhere to the General Data Protection Regulation (GDPR). Key security measures include:

⚠️ *Note: All benchmark scores are approximate and may vary based on configuration. Server availability subject to stock.* ⚠️

View full article | Back to Server rental store