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[[File:CNCAR.jpg|thumb|250x250px|A view of the CNCAR main building.]]
[[File:CNCAR.jpg|thumb|250x250px|A view of the CNCAR main building.]]
{{Nouvelle Alexandrie Article}}The '''National Center for High-Performance Computing''' ([[Martino language|Martino]]: '''Centro Nacional de Computación de Alto Rendimiento''', CNCAR), also known as the '''National Supercomputer''' ([[Martino language|Martino]]: '''Superordenador Nacional'''), is a flagship research institute dedicated to advancing computational science, and providing economic modeling, mathematical simulation, and generative AI. It is located in [[Cárdenas]], the capital of [[Nouvelle Alexandrie]]. It serves as the nation’s primary hub for high-performance computing resources, providing unparalleled computational power to academia, industry, and government agencies.
{{Nouvelle Alexandrie Article}}The '''National Center for High-Performance Computing''' ([[Alexandrian language|Alexandrian]]: ''Centre national de calcul à haute performance''; [[Martino language|Martino]]: ''Centro Nacional de Computación de Alto Rendimiento'', CNCAR), also known as the '''National Supercomputer''' ([[Alexandrian language|Alexandrian]]: ''Superordinateur national''; [[Martino language|Martino]]: ''Superordenador Nacional''), is a federal research center for computational science in [[Cárdenas]], the capital of [[Nouvelle Alexandrie]]. It is the nation's primary provider of high-performance computing capacity for academia, industry, and government agencies. The CNCAR provides the computing infrastructure for federal research, complementing the [[Institute for Computer Science and Robotics]] at the [[Máquina Science Park]], which leads federal research in computer science itself.


== History ==
== History ==
The CNCAR was established in {{AN year|1695}} as part of the [[New Prosperity Plan]], in order to centralise and democratise access to high-performance computing. Initially conceived as a distributed network of smaller clusters, the project consolidated into a single, purpose-built campus in Cárdenas by {{AN year|1710}}. The center’s early work focused on economic simulation, climate and disaster modeling, and automation research.
The CNCAR was established in {{AN year|1695}} to centralize access to high-performance computing for federal research. Initially conceived as a distributed network of smaller clusters, it consolidated into a single, purpose-built campus in Cárdenas by {{AN year|1710}}. Its early work focused on economic simulation, climate and disaster modeling, and automation research.


In {{AN year|1738}}, the [[Frontera Program]] allocated over €4.2 billion towards the expansion and upgrading of CNCAR. This funding enabled the onboarding of the very first domestic Artificial Intelligence program, AlexAI, which came online in {{AN year|1740}} and immediately positioned [[Nouvelle Alexandrie]] as a leader in AI research.  
In {{AN year|1738}}, the [[Frontera Program]] allocated over NAX€4.2 billion to the expansion and upgrading of the CNCAR. The funding paid for a new generation of computing hardware and for AlexAI, the center's artificial-intelligence computing platform, which came online in {{AN year|1740}} and hosts research under the [[Frontera Program]]'s IA Génesis program.


== Purpose ==
== Purpose ==
The CNCAR provides high-computational resource capacity for a wide variety of both scientific and economic research, including:
The CNCAR provides computing capacity for scientific and economic research, including:


* Computational Science for physics, chemistry, and engineering
* computational science in physics, chemistry, and engineering;
* Economic Modeling for large-scale simulations for economic trends, market analysis, finance, and international trade.
* large-scale economic modeling for economic trends, market analysis, finance, and international trade;
* Mathematical Simulations for advanced algorithms to solve complex equations in theoretical and applied mathematics.
* mathematical simulation of complex equations in theoretical and applied mathematics;
* Generative AI through the development of large-scale language models, neural networks, and AI-driven creative tools.
* artificial intelligence and machine learning research; and
* Data Science & Analytics for big data processing for public health, urban planning, and social sciences.
* data science and analytics for public health, urban planning, and the social sciences.
In general, CNCAR services over 1.2 million node-hours per year across its high-performance computing resources, with Helix serving as the primary workhorse. In {{AN year|1740}}, allocations were distributed as follows:


* Computational Science accounted for 39% of all requests.
The center services over 80 million node-hours per year across its computing resources, with Helix as the primary system. In {{AN year|1740}}, computational science accounted for 39% of all allocation requests, economic modeling for 21%, mathematical simulation for 17%, data science and analytics for 15%, and artificial intelligence for 8%.
* Economic Modeling accounted for 21%.
* Mathematical Simulation accounted for 17%.
* Data Science and Analytics accounted for 15%.
* Generative AI accounted for 8%.


=== Helix ===
=== Helix ===
The Helix Supercomputer is the CNCAR's core facility. It provides unparalleled processing power through a hybrid architecture, utilising both CPU, GPU, and TPUs units. Peak performance was measured in {{AN year|1742}} at 12.8 PetaFLOPS. Memory systems utilise a mix of DDR5 RAM and NVMe SSD, with a total of 1.2 RAM PB + 48 SSD PB. Storage exceeds over 200 PB, using a parallel file system. The system uses 200 Gbit/s HDR connectivity to maintain low-latency, high-throughput readiness.
The Helix Supercomputer is the CNCAR's core facility. It uses a hybrid architecture of general-purpose processors, graphics accelerators, and tensor processors. Peak performance was measured in {{AN year|1742}} at 1.2 exaFLOPS. The system carries 1.2 PB of main memory, 48 PB of solid-state storage, and a parallel file system of over 200 PB, connected by a 200 Gbit/s low-latency interconnect.


* 12,288 2x 64-Core CPUs provide bulk processing power; while:
* 12,288 nodes with dual 64-core CPUs provide bulk processing power;
** 49,152 H100 Tensor Core GPUs are dedicated to deep learning workloads; and
* 49,152 graphics accelerators handle deep-learning workloads; and
** 1,024 TPU v8p Pods are dedicated to generative AI and large language models.
* 1,024 tensor-processing pods are dedicated to artificial-intelligence research.


Cooling is provided by liquid immersion cooling for CPU/GPU nodes; with additional air cooling for auxiliary systems. This keeps power consumption remarkable low at 24 MW during peak use, with an intricate system of residual heating utilisation throughout [[Cárdenas]].
CPU and GPU nodes are cooled by liquid immersion, with air cooling for auxiliary systems. Power consumption peaks at 24 MW, and residual heat is fed into the district heating network of [[Cárdenas]].


== Organisation ==
== Organization ==
The CNCAR is directly overseen by the [[Department of Research and Development (Nouvelle Alexandrie)|Department of Research and Development]], and is led by a Director appointed by the Secretary. The institute is furthermore divided into three service departments and an executive office:
The CNCAR is overseen by the [[Department of Research and Development (Nouvelle Alexandrie)|Department of Research and Development]] and led by a Director appointed by the Secretary. It has three service departments:


* Director of Research
* Director
** Department of Administration
** Department of Administration
** Department of Public Engagement
** Department of Public Engagement
** Department of Software & Hardware Development
** Department of Software and Hardware Development


The CNCAR also maintains one advisory board, the Computing Advisory Council, which advises both on allocation for private and public companies, ethical use, and responsible AI development.
The center's advisory board, the Computing Advisory Council, advises on allocations to public and private users, ethical use, and responsible development of artificial intelligence.


== See also ==
== See also ==
Line 47: Line 42:
* [[Máquina Science Park]]
* [[Máquina Science Park]]
* [[Vida Science Park]]
* [[Vida Science Park]]
* [[Institute for Computer Science and Robotics]]


[[Category:Science and technology in Nouvelle Alexandrie]]
[[Category:Science and technology in Nouvelle Alexandrie]]
[[Category:Cárdenas]]
[[Category:Cárdenas]]
[[Category:Engineering]]

Latest revision as of 15:36, 13 July 2026

A view of the CNCAR main building.

The National Center for High-Performance Computing (Alexandrian: Centre national de calcul à haute performance; Martino: Centro Nacional de Computación de Alto Rendimiento, CNCAR), also known as the National Supercomputer (Alexandrian: Superordinateur national; Martino: Superordenador Nacional), is a federal research center for computational science in Cárdenas, the capital of Nouvelle Alexandrie. It is the nation's primary provider of high-performance computing capacity for academia, industry, and government agencies. The CNCAR provides the computing infrastructure for federal research, complementing the Institute for Computer Science and Robotics at the Máquina Science Park, which leads federal research in computer science itself.

History

The CNCAR was established in 1695 AN to centralize access to high-performance computing for federal research. Initially conceived as a distributed network of smaller clusters, it consolidated into a single, purpose-built campus in Cárdenas by 1710 AN. Its early work focused on economic simulation, climate and disaster modeling, and automation research.

In 1738 AN, the Frontera Program allocated over NAX€4.2 billion to the expansion and upgrading of the CNCAR. The funding paid for a new generation of computing hardware and for AlexAI, the center's artificial-intelligence computing platform, which came online in 1740 AN and hosts research under the Frontera Program's IA Génesis program.

Purpose

The CNCAR provides computing capacity for scientific and economic research, including:

  • computational science in physics, chemistry, and engineering;
  • large-scale economic modeling for economic trends, market analysis, finance, and international trade;
  • mathematical simulation of complex equations in theoretical and applied mathematics;
  • artificial intelligence and machine learning research; and
  • data science and analytics for public health, urban planning, and the social sciences.

The center services over 80 million node-hours per year across its computing resources, with Helix as the primary system. In 1740 AN, computational science accounted for 39% of all allocation requests, economic modeling for 21%, mathematical simulation for 17%, data science and analytics for 15%, and artificial intelligence for 8%.

Helix

The Helix Supercomputer is the CNCAR's core facility. It uses a hybrid architecture of general-purpose processors, graphics accelerators, and tensor processors. Peak performance was measured in 1742 AN at 1.2 exaFLOPS. The system carries 1.2 PB of main memory, 48 PB of solid-state storage, and a parallel file system of over 200 PB, connected by a 200 Gbit/s low-latency interconnect.

  • 12,288 nodes with dual 64-core CPUs provide bulk processing power;
  • 49,152 graphics accelerators handle deep-learning workloads; and
  • 1,024 tensor-processing pods are dedicated to artificial-intelligence research.

CPU and GPU nodes are cooled by liquid immersion, with air cooling for auxiliary systems. Power consumption peaks at 24 MW, and residual heat is fed into the district heating network of Cárdenas.

Organization

The CNCAR is overseen by the Department of Research and Development and led by a Director appointed by the Secretary. It has three service departments:

  • Director
    • Department of Administration
    • Department of Public Engagement
    • Department of Software and Hardware Development

The center's advisory board, the Computing Advisory Council, advises on allocations to public and private users, ethical use, and responsible development of artificial intelligence.

See also