Computing Services

Ars Magna Clúster

High Performance Computing Clúster

Ars Magna is a high-performance high-availability computing cluster that operates continuously thanks to its batch system. At present, the facility is composed of:

  • 5 computer nodes with 2 Intel Xeon 4210 processors at 2.2GHz with 10 cores, 20 threads and 96Gb of RAM memory.
  • 2 Asus Geforce Turbo RTX 2080Ti GPUs and 11Gb of RAM memory.
  • 2 user-interface machines, where users can develop and test their workflow, with Intel Xeon 4210 2.2GHz processors, with 10 cores, 20 threads and 128Gb of RAM memory.
  • Memory capacity of 96 TB.

The Ars magna cluster is essentially used to offer the HPC-AI: High Performance Computing for AI services and for IIIA scientists in their research in the field of AI.

 

NEXT EXTENSION

In the coming months, Ars Magna will be expanded with 6 more computation nodes, of the same type as the current ones, this will allow us to double its calculation capacity

 

 


 

HPC-AI Services

High performance computing services for Artificial Intelligence

 

Who is HPC-IA for?

IIIA's mission is to make this computing capacity available to both industry and researchers, whose projects require computing and memory capabilities beyond those provided by conventional computers. These requirements are sometimes driven by AI challenges that need to be solved in a distributed manner, and that can take advantage of the parallel computing provided by CAP-IA

 

What AI tools are available?

There are open source libraries for AI tools available, such as Pytorch, TensorFlow, Scikit-learn or Keras.

Additionally, there are several AI tools developed at IIIA that can be used. Highly qualified AI researchers and technicians from IIIA are also at your disposal to help make the most of the infrastructure and available software and, when necessary, will be able to develop customized software for R&D projects, such as:

  • The development of machine learning models that require large amounts of data.
  • The development of applications that require the resolution of optimization problems.
  • The development of applications that require distributed computing, such as multi-agent systems.
  • The development of applications that require intensive testing to verify their efficiency.
  • Empirical research, taking advantage of its ability to abort and launch experiments in a more dynamic and flexible way.
  • The study of the behavior and/or performance of AI algorithms, since we have a homogeneous infrastructure of machines that allow us to ensure the same hardware conditions.

 

Services & Pricing

 

Service 1. Use of Cluster for AI

 

CAP-IA can be used to solve problems with large computing needs. Only the computing service is offered here, with minimal support on the use of the infrastructure. The service does not provide support on issues like the structure of the data, the software used, or the results obtained.

This service is recommended for researchers and qualified personnel with the knowledge of using such an infrastructure.

This service provides the following:

  • For each CPU used, one will have access to 8 Gb of RAM memory.
  • For each GPU node used, one will have access to 11 Gb of RAM memory.
  • One will have access to 1Tb of disk memory, though extensions may be requested and they will be attended whenever possible.

 

Pricing

 

The cost of using 100 hours of CPU can be consulted here.

 

Service 2. Consulting and advice on AI projects

 

Consultancy and advice is offered on issues such as:

  • the capacity of AI techniques to solve specific problems,
  • how to apply AI tools in organizations to optimize their processes, and
  • the design of new AI tools for projects as they allow facing new challenges.

One may combine the consultancy and advice service with the Use of Cluster Service, in which case the final cost must include the costs of the individual services.

 

Pricing

 

The cost of using 100 hours of CPU can be consulted here.

 

Service 3. Data-Based Decision Support Systems

 

This service provides the technology, experience and computing capacity for the design and development of decision support models based on data, through the use of AI techniques such as machine learning (ML), deep learning (DL), probabilistic graphical models, case-based reasoning and transfer learning, amongst others.

The computing service allows improving the efficiency of the models created through exhaustive simulation tests.

 

Pricing

 

The cost of using 100 hours of CPU can be consulted here.

 

Service 4. Intelligent systems based on optimization

 

This service provides the most advanced optimization techniques, through the application of AI algorithms based on metaheuristics that allow us to tackle optimization problems on a large scale.These algorithms include genetic and evolutionary algorithms, iterated local search, simulated annealing and tabu search or the Monte Carlo Tree Search (MCTS) methods that are suitable for solving decision and planning problems. We are also specialists in constrained optimization techniques based on the SAT and Max_SAT constraint satisfaction algorithms that have proven their efficiency in solving industrial problems.

 

Pricing

 

The cost of using 100 hours of CPU can be consulted here.