Our Computing Resources
NVIDIA A100 GPU Clusters
Our state-of-the-art GPU clusters feature the latest NVIDIA A100 Tensor Core GPUs, designed specifically for deep learning training and inference workloads.
Each node delivers up to 312 teraFLOPS of TF32 performance, with configurable multi-instance GPU technology that allows you to partition each GPU into up to seven independent instances.
High-Performance CPU Nodes
Our CPU clusters provide massive parallel computing power with the latest AMD EPYC and Intel Xeon processors, delivering exceptional performance for a wide range of scientific applications.
Each node features up to 128 cores, 4TB of memory, and high-speed interconnects for complex simulations and data-intensive workloads.
Grant-Friendly Billing
We understand the unique financial constraints of academic research. Our billing system is designed to work seamlessly with grant funding structures.
Get detailed usage reports and documentation for grant reporting, with flexible payment options that align with academic budgeting cycles.
Performance Benchmarks
Performance metrics compared to industry benchmarks. Our clusters are optimized for scientific computing workloads, delivering exceptional performance while maintaining energy efficiency.
University Collaborations
Academic Partnerships
We collaborate with leading universities across the Baltic region to provide computing resources for cutting-edge research projects. Our partnerships include dedicated resources, technical support, and joint research initiatives.
Research Support
Our team of data scientists and HPC specialists works closely with academic researchers to optimize workflows, accelerate computations, and solve complex technical challenges, enabling breakthrough discoveries.
Knowledge Sharing
We facilitate knowledge exchange through workshops, seminars, and technical training sessions, helping researchers leverage advanced computing technologies for scientific advancement.
Sustainable Computing
Energy-Efficient Infrastructure
Our data centers implement advanced cooling technologies and energy management systems to minimize environmental impact while maximizing computational output.
Through careful design and optimization, we've achieved a Power Usage Effectiveness (PUE) rating of 1.15, significantly better than the industry average.
Renewable Energy Sources
Our facilities are powered by 100% renewable energy, leveraging Latvia's sustainable energy infrastructure to deliver carbon-neutral computing resources for your research projects.
By combining hydroelectric and wind power with efficient energy storage, we maintain reliable operations while minimizing our carbon footprint.