Accessible Supercomputing to Accelerate Innovation and Industrial AI

Industrial competitiveness today hinges on the ability to compute, simulate and analyze faster.
High Performance Computing enables companies to accelerate innovation and development by making technologies such as AI, digital twin and complex simulations accessible on an industrial scale.

For this reason, the following was born IPAZIA, BI-REX’s new High Performance Computing( HPC) center, a high-performance computing infrastructure in the BI-REX Pilot Line designed to make advanced simulation, artificial intelligence, machine learning and big data analytics technologies accessible to enterprises.

IPAZIA ‘s goal is to support concrete industrial use cases: from advanced design and digital twin, predictive maintenance, training and fine-tuning of AI and LLM models, to applications in life science, computer vision, and manufacturing process optimization

Why choose the IPAZIA HPC cluster?

An advanced, reliable and easily accessible platform for running complex workloads.

It is organized according to an architecture that separates access functions from computing functions, ensuring security, stability and high performance.

“Fair use” and “linearized over time” policy.

It provides shared storage, allowing access to files from all computational nodes.

Budget predictability: by knowing weights and multipliers, you can estimate the cost of processes sooner and better manage the budget.

Why choose the IPAZIA HPC cluster?

An advanced, reliable and easily accessible platform for running complex workloads.

It is organized according to an architecture that separates access functions from computing functions, ensuring security, stability and high performance.

“Fair use” and “linearized over time” policy.

It provides shared storage, allowing access to files from all computational nodes.

Budget predictability: by knowing weights and multipliers, you can estimate the cost of processes sooner and better manage the budget.

Main use cases

Predictive Maintenance

Large-scale IoT analysis to predict failures with advanced models.

CFD – Computational Fluid Dynamics

High-fidelity numerical simulations for aerodynamics and fluid dynamics.

Digital Twin Industrial

Digital twins of plants and production processes in real time.

LLM – Large Language Models

Training and finetuning of language models on business data.

Computer Vision

Quality control and object detection with computationally intensive loads.

Weather Forecasts and Complex Models

Advanced processing on datasets and high-intensity images.

The key points of PAZIA

  • Affordability and scalability
  • Resident data in Italy, at BI-REX
  • Reduction significant reduction in the timelines design
  • Support and training including
  • No hidden costs: storage and traffic included
  • No vendor lock-in: open standards

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