Bonne anniversaire, IN2P3!

This year, IN2P3, a longstanding member of the EGI Federation, celebrates its 50th anniversary.

EGI had the pleasure of attending the celebration live in Villeurbanne, near Lyon, France. You can check the full programme here.

Over 250 participants attended the morning session with overviews of the IN2P3 history, a networking lunch and an afternoon series of visits to discover  ‘l’Institut de Physique des 2 Infinis’, the ‘Laboratoire des Matériaux Avancés’ and the data centre ‘Centre de Calcul de l’IN2P3’ (CC-IN2P3). 

In the morning, we heard from speakers such as the community of Villeurbanne, who are celebrating their city being named ‘culture capital’ in 2022 (‘capitale française de la culture’), and from IN2P3 partners such as CERN and Université de Lyon.

We witnessed a wonderful talk by Magda Ericson, pioneering researcher in experimental physics at CNRS, who gave a fascinating insight into how it was to be one of the few female researchers in her field back in the day.

Anne Ealet, director at IP2i – the Institute of Physics of the 2 Infinities (‘Les 2 infinis’), a joint research initiative of which IN2P3 is part, took us deep into the fascinating world of subatomic physics, and we also learned more about the long-standing collaboration of IN2P3 with CERN (the IN2P3 data centre processes, amongst others, LHC data).

Director of the IN2P3 Centre de Calcul (CC-IN2P3) Pierre-Etienne Macchi shared some fascinating insights in the 50-year history of the ‘Centre de Calcul’ (data centre) attached to IN2P3 – we’re very happy to welcome him for a keynote at our annual EGI Conference on October 19th!

Pierre -Etienne Macchi, CC-IN2P3 Director, will give a keynote at #EGI2021 on October 19th

In the afternoon, we were very lucky to receive a private tour of the CC-IN2P3 data centre. CC-IN2P3 designs and operates a mass storage system and mass data resources. It has two computer rooms (each with a surface area of 850m2) with several thousand servers and libraries enabling the storage of nearly 340 petabytes of data on magnetic tapes. Amongst other activities, it is one of the data centres that processes data generated by experiments at the Large Hadron Collider in CERN. As a provider for the EGI High-Throughput Compute resources catalogue, several projects and collaborations are using CC-IN2P3 centre to process data and compute resources, such as the VIRGO experiment on gravitational waves, the BELLE II detector in Japan and several astrophysics projects such as the future LSST telescope, and CTA.

CC-IN2P3 also provides network capacity for several local actors, such as the universities and higher education centres in the region, and act as a node for regional internet capacity network Lyonex.  Over the last decade, CC-IN2P3 has faced a major increase in capacity needed, and therefore they are expanding their existing data centre with new and ultra modern servers – including a industrial standard cooling and capacity system.  

14 EGI-ACE use cases currently supported, submit yours now!

As you may have noticed, the EGI-ACE project continuously runs open calls to offer access to infrastructure and platform services, and dedicated user support and training. Since the first open call (cut off date April 15, 2021) the project has received a total of 20 use cases. 14 of the submitted applications have already been accepted and supported.

Click on the name of the use case to learn more about the objective, how the EGI-ACE project supports and who the targeted beneficiaries are.



Running advanced scientific software requires expert knowledge which comes along with several challenges. To mitigate these, the AiiDAlab web platform has been created, allowing any interested researcher to work with advanced simulation tools. AiiDAlab provides an infrastructure for computational scientists to develop, execute, and share computational workflows as intuitive web services based on Jupyter Notebooks. 


How EGI-ACE supports

EGI-ACE will be able to help procuring the resources needed to rapidly scale up this demonstration service such that it can be comfortably advertised to the general scientific community. The expectation is to support at least 100 concurrently active user sessions at peak times and on the order of 500 user accounts in total (a ten-fold increase). The EGI Notebooks service will also be expanded to add AiiDAlab as a workflow layer.



Currently, AiiDAlab applications are focused on Materials Science. Therefore, the researchers from this domain will mostly benefit from the freely available service.

AMBER-based modelling of SARS-CoV-2 Spike protein (CNR)


The SARS-CoV-2 Spike protein is a glycoprotein that plays a key role in the receptor recognition, viral attachment, and entry into host cells. The AMBER-based modelling study evaluates the occupancy of the spike protein and will identify glycan holes, providing opportunities for inactivators to bind.


How EGI-ACE supports

Implementation  of  the  proposed  use  case  is  bound  to  access  modern  and  powerful GPU devices as well as suitable storage and transfer data services. In particular, to implement the use case 10 virtual machines (VMs) would be needed provided by  the  EGI cloud  federation.  Of  these  VMs,  7  of  them  will  be  dedicated  to  run  dynamic simulations  on  known  drug  protein  complexes,  whereas  the  other  3  VMs  will simulate dynamics of polyanionic polymers protein complexes.



First beneficiaries of the use case will be researchers of a consortium of three Italian research teams, respectively working at the Institute of Biomedical Technologies of the National Research Council (CNR ITB), at the University of Brescia (UniBs), and at the University of Genoa (UniGe). Results obtained through the implementation of the proposed use case will be the basis for the implementation of specific research studies aimed at identifying antiviral drugs and anionic polymers targeted to inactivate the Spike protein.

ARTICONF project (Agilia)


The objective of the use case is to create an AI-driven mobile app that mixes car sharing and carpooling models allowing cost sharing and safe travel through direct trustworthy transactions among passengers.


How EGI-ACE supports

For the blockchain network the availability of services need to be tested along with the maximum throughput achieved in the network. A total of 5 VMs will be needed.



Agilia Center SL will be the main beneficiary akong with the service end users. This will be used to test our use case with the market through end users testing campaigns. The end users are mainly people who need to drive a car for a period of time or want to share a ride with a driver. A new market will be targeted (peer to peer car sharing and carpooling market) with an expected growth this year of about 11%.

eHoney platform (University of Bologna)


The  main  scientific  objective  of  the  use  case  is  to  implement  an  innovative computational procedure to indirectly describe the effect of climate change on biodiversity using environmental DNA (eDNA) information (data and metadata), taking advantage from peculiar archived eDNA collector specimens, i.e. honey samples produced over the last decade.


How EGI-ACE supports

The datasets locally available includes about 8-10TB of metagenomics raw data that  will  be  processed. Including  the  outputted  results,  an  estimated  total  of 30TB will be required by the project. Considering that each analysis can require up  to  40GB  of  ram  and  8CPUs,  the  EGI  Cloud  Compute  or  the  EGI High-Throughput  Compute  service  would  be  among  the  best  options.  For  data transferring the EGI Data Transfer service could support.



The beneficiaries of the use case will be the Animal and Food Genomics Group of  the Department  of Agricultural  and  Food  Sciences  of  the  University  of Bologna  (Bologna,  Italy).  The use case will set a new avenue to analyse the effect of climate change on the environmental biodiversity using retrospectively archived honey samples. This approach is highly innovative and will contribute to Open Access and FAIR with  the  unique  next generation  sequencing of large  datasets  from  honey environmental DNA, the developed pipelines and the constructed databases that will  be  generated  by  the  use  case.

Large sample testing of high-resolution distributed hydrological model


The objective is to perform large sample testing of high-resolution distributed hydrological models to identify where process description or used datasets (forcing, geofabric, etc) fall short and need improvement. This in light of obtaining a detailed understanding on how the seasonal scale forecasts and/or climate change scenarios impact the hydrological response, its interactions with the atmosphere and the occurrence of floods and drought.


How EGI-ACE supports

There is a need for the EGI-ACE project to support converting the Azure pipeline to the EOSC to be able to execute the workflows in parallel independently. This will require compute time, fast data storage, access for multiple persons including MSc and PhD students.



The setup will be fully reproducible, and results will be made available according to the FAIR principle (including access to the dockerized model and workflow). The aim is to involve students from various universities in the research activities. Hereby, training the next generation of computational hydrologists.

OGC Sensor Things API for Citizen Science (Cos4Cloud project)


In Citizen Science, very many different APIs and data models are used that hinder the easy use of data across different operators. In Cos4Cloud, we strive to create a federation of Citizen Science portals and an Expert Portal that exchanges citizens’ observations for the purpose of quality assurance. The scientific objective is to study whether the developed extension to the OGC Sensor Things API for Citizen Science is fit for purpose for large data sets coming from different domains such as environmental and biodiversity


How EGI-ACE supports

The project will offer support by loading Balancer with Kubernetes or Docker enabled nodes plus high speed storage (data buckets) with the Postgres Database System (Master – Slave). There is a need for high ingress and egress bandwidth to support large scale data loading and performance tests.



The beneficiaries will be international research and academia as the international exchange of citizen science data supports global research on use cases of common interest.



The  basic  goal  of  OpenBioMaps  is  to  build  relationships  and remove   technical barriers   between communities   that   produce   and   use biodiversity  data.  It  provides free  services  and  open-source software  for researchers   and   conservationists.


How EGI-ACE supports

Three virtual servers have been requested to support, a OpenBioMaps database server and two computational servers.



The new OpenBioMaps database and computational nodes will target new research teams and conservation institutes from Croatia, Slovakia, Poland, Greece, the United Kingdom and Germany. In Hungary, OpenBioMaps is used in 9 National Parks, which have many international nature conservation and scientific connections with foreign nature conservation institutions and research sites.

Perovskite material studies


The scientific objective concerns the characterisation of halide perovskite materials, interfaces and defects using molecular dynamics (MD). These materials are very promising for solar cells, but they are degrading fast. This study will lead to a more clear understanding of the stability and the degradation mechanisms in these materials. Ion migration is of particular interest and will be the main focus of MD simulations.


How EGI-ACE supports

In order to process multiple instances by MD calculations, the research requires an extension of the current resources which the EGI-ACE project can offer.



The beneficiary of the MD calculations will be the group at the Reykjavik University (the Nanophysics Center) as well as the group from DFCTI/IFIN-HH, Romania, and the group from the National Institute of Material Physics, Romania within the SEE project “Towards perovskite large area photovoltaics”.

Protein pKa and isoelectric point calculations


The objective is to Establish an easy-to-use cloud service that allows for fast pKa and isoelectric point calculations using user-provided protein structures or those obtained from the Protein Data Bank. The goal is to make PypKa the go-to solution for these calculations, building upon its high accuracy and computational speed. Additionally, the research aims at building a large dataset of pKa values and isoelectric points, which will be pivotal to train machine-learning algorithms.


How EGI-ACE supports

A request has been made for access to 200 virtual cores to be shared between the PypKa server and the pKPDB database. 5 TB of disk storage are also needed mostly to accommodate the database.



The PypKa publicly available cloud service will benefit a variety of scientific researchers world-wide, with an emphasis on structural biologists and bioinformaticians. Since the tool can estimate the isoelectric point of proteins, it is also useful to experimentalists working in the field of protein sciences.

Scalable Jupyter backends to complement data holdings in the CS3mesh4EOSC mesh


Starting from scientific data already held in the node of the CS3mesh4EOSC consortium, there is a need to ensure that users can select the correct VREs and scientific workflows to operate on this data, seamlessly. Given that EGI is the eInfra partner for the operation of the VRE instance of many ESFRIs, it stands to reason to try to connect the CS3mesh4EOSC data holdings with a generic test case for EGI’s method of running VREs.


How EGI-ACE supports

The project has been requested to provide access to a Jupyter notebooks cluster with at least 200 cores, a minimum of 5 co-located VMs (4CPU, 8 GB min) that can run interoperability middleware (to be experimented with between EGI and CS3mesh4EOSC), federated authentication harmonised between CS3mesh4EOSC and EGI identities, a sandboxed part of the namespace on the EGI cvmfs stratum-0 (for definition of VRE environments and distribution to Jupyter) and DODAS / Apache Spark, to experiment with jobs started at a jupyter in site-A and using spark parallelism at site-B (as a means of compute scale-out).



The compute platform has the potential to be rolled out to the entire CS3mesh4EOSC constituency – currently the entire constituencies of SURF, DeIC, CESNET, PSNC, CERN, SWITCH, AARNet and the European Commission’s JRC.

Fermi-LAT data analysis and interface with Italian mirror data archive at SSDC


The analysis of scientific data taken with a generic gamma-ray telescope is dominated by the low statistics, each photon must be treated as a single particle with a determinate energy and an incoming direction. This makes the gamma-ray data analysis very time-consuming especially when the integrated observation is about years, then billions of photons, as the case of the Fermi Large Area Telescope onboard the Fermi Gamma-ray Science Telescope (Fermi-LAT). Resources devoted to the optimization of the time data analysis is fundamental for the Fermi-LAT science. In this particular science case with new resources, we can easily manage the integration of years of data and interface directly with the official Italian Mirror data archive of Fermi-LAT data hosted at the Space Science Data Center in Rome (SSDC).


How EGI-ACE supports

The beneficiaries of the use case will be Italian group of Fermi-LAT collaboration composed of INFN and University researchers. Moreover the proposed use case should be beneficial for either training new students and to establish a reusable analysis model for further activities such as those related to the new satellite-born gamma-ray observatories (i.e. AMEGO). Those are strategic assets because the team is proposing a very flexible solution to improve the data processing of FERMI-LAT and this will allow it to easily extend the pipeline to new paradigms based on Machine Learning. On a large perspective, this use case can be extended to the whole international community interested in astrophysical data analysis. Furthermore the release of new gamma-ray sources catalogs with a dedicated database of science-ready Fermi-LAT products will be publicly available.



The beneficiaries of the use case will be Italian group of Fermi-LAT collaboration composed of INFN and University researchers. Moreover the proposed use case should be beneficial for either training new students and to establish a reusable analysis model for further activities such as those related to the new satellite-born gamma-ray observatories (i.e. AMEGO). Those are strategic assets because the team is proposing a very flexible solution to improve the data processing of FERMI-LAT and this will allow it to easily extend the pipeline to new paradigms based on Machine Learning.



MATRYCS aims to develop a data-driven Reference Architecture for AI-based scalable big data management & analytics in smart energy-efficient buildings.


How EGI-ACE supports

EGI-ACE will contribute offering advanced solutions (e.g. : EGI Cloud Compute and EGI Container Cloud Compute services) and allocating computing resources (25-30 VMs, 100-130 vCPU cores, 200-230 GB of RAM, 0.5 TB of local disk storage, and 4-5 TB of block storage) to facilitate the development of the data driven reference architecture. 



More than 160 organisations have been listed as potential supporters, promoters and even advocates of the MATRYCS. These have been categorised into the following target groups and related main benefits:

  • Policy Makers & Standardisation Organisation
  • Energy sector
  • Buildings and construction sector
  • Financial sector
  • Industry Associations & Technology Clusters
  • IT industry Players and SMEs, and
  • Researchers and Academia
MINKE project


The H2020 MINKE project integrates key European marine metrology research infrastructures, to coordinate their use and development and propose an innovative framework of “quality of oceanographic data” for the different European actors in charge of monitoring and managing the marine ecosystems. MINKE proposes a new vision in the design of marine monitoring networks considering two dimensions of data quality, accuracy and completeness, as the driving components of quality in data acquisition.


How the EGI-ACE project supports

The following baseline resources on cloud-based infrastructure are requested; however, additional services such as authentication and authorization infrastructure and cloud-based notebooks will be investigated for integration.

  • Resources in two geo-distributed data centres, with at least one of them delivering GPU-based resources (for AI-based workloads).
  • Approximately 16 virtual machines in each data centre delivering 96 vCPUs, 192GB RAM, totalling 192 vCPUs and 384TB RAM. The baseline configuration for most of the VMs is expected to be 8 vCPUs/16GB RAM.
  • 2TB of initial storage per data centre, totalling 4TB. The storage capacity may need to be increased but it is not expected to go beyond 10TB. 
  • At least two VMs will be required to be on GPU-enabled resources.



MINKE (combining metrological and participatory systems) are of European and worldwide interest. Their involvement in many national, European and international projects or ERICs with academic and private partners, and the support provided by their high-level scientists, guarantees their attractiveness to significant numbers of users from the wider scientific communities in Europe and elsewhere where research for improving marine observation sustainability is limited by the lack of appropriate RI.



Collect acoustic recordings from Atlantic stations, study the noise pollution and produce a noise-monitoring platform. This platform will be offered to end-users to produce noise maps and risk assessment of the ocean.


How EGI-ACE supports

The EGI-ACE project will contribute provisioning cloud compute resources and provide technical support for hosting the noise-monitoring platform. More specifically, this platform will be composed of a Kubernetes cluster and several JupyterHub notebooks for processing the data collected from the different stations and displaying the noise map. Access to this noise-monitoring platform will be secured via the EGI AAI Check-In service.



The main beneficiaries of this application are the stakeholders of the JONAS project including the scientific community and the EU government agencies.


Next cut-off date

Interested to submit your use case? The next cut-off date will be on the 15th of December 2021. Please note that the cut-off dates are set every two months and the call will continue to be open for the entire duration of the project.

The 1st round of the EUH4D Federation expansion was a success

Full article available on the EUH4D website.

The European Commision and in particular the EUHubs4Data Federation aims to equal regional access to digitalisation measures by all firms. For achieving this, the EUH4D project has a goal of expanding the federation of data driven innovation hubs to additional regions after the 1-year set-up and implementation phase. As a result of an open call, 18 most promising located Digital Innovation Hubs joined the federation, complementing the existing 12 EUH4D partner-DIHs. 

The new DIHs significantly expand the EUH4D service offering, internationally, domain-specifically and, of course, technologically. All these different enhancements will already come into play in the next two open-calls for experiments published by EUHubs4Data, enabling a variety of SMEs to conduct data-driven AI experiments around their services and products for which there are only a few funding opportunities so far. But it is precisely these riskier experiments that are needed to develop novel AI solutions in Europe and test them for market maturity. The open call for DIHs was launched in April this year, and was combined with the annual i-Space label call, published by the BDVA, to ensure the maturity and capabilities of the applying DIHs. After the expansion, the Federation has increased from 18 to 30 covered European regions located in 20 different countries. The selected DIHs are incorporated into the Federation in two stages: the first 9 hubs already in 2021 and the remaining 9 in 2022. 

The first of the two-remaining open calls for experiments will be launched in December this year and will allow existing and new DIHs in the federation to tender their services across Europe. By working with the small-sizes companies and other DIHs, the project is fostering the emergence of a vibrant innovation data-driven ecosystem within the EU.

 Among many other important aspects, the Federation is also working on a technical interoperability solution for allow data sharing. EUHubs4Data is actively contributing to the data driven digitization of Europe and the establishing of European common Data Spaces. 

More information on the EUHubs4Data project

Follow the social media channels LinkedIn and Twitter. 

#EGI2021: Focus on EOSC

Join us on October 19th for an EOSC-themed day!

During our #EGI2021 first conference day, October 19th, we will focus on a variety of European Open Science Cloud (EOSC) projects, services and tools. 

In the morning, you can discover the EOSC Synergy project in ‘Bridging from theory to practice with EOSC-Synergy’, or find out how EGI powers several core EOSC Services in the session ‘EGI-powered Thematic Services in EOSC‘.

Throughout the conference, we showcase a number of demonstrations – and on this day, two of them are EOSC-themed: at 12.45 CEST, Find out how the EOSC Test Suite can help with benchmarking and validation, and at 13.30 CEST, how you can onboard resources on the EOSC Portal. 

The first afternoon sessions focus on ‘Gaia-X Architecture and its Implications for EOSC and the research community‘ or you can learn more about EOSC -related services and projects during these short presentations about EOSC-Performance, EOSC-DIH, EGI-ACE, EOSC-Synergy and ESCAPE.

Finally, join us for a workshop focusing on EOSC Future and EOSC Core.

Counting down to #EGI2021!

Did you register yet?

We’re in the final stretch towards #EGI2021. Now that the programme is almost complete, we’re ready to take you through the highlights – make sure to reserve your spot and be part of (hopefully the last virtual edition of) our annual conference!

About the Programme

The full programme is available on the EGI2021 Indico page.

We’re very proud to announce our 4 keynote speakers:

Throughout the conference, you’ll be able to follow presentations and workshops across the following tracks:

  • Delivering services and solutions: Use cases and proven solutions related to services for distributed computing and data analytics. Services and policies for federating data and computing infrastructures.
  • Innovating services together: Ideas, concepts, prototypes for joint innovation activities.
  • Collaboration across boundaries: Ideas to enhance collaborations and establish new partnerships in a distributed ecosystem. We are eager to listen to success stories on how scientific excellence has been enabled through the federation of national, regional and international e-infrastructures and in particular the EGI Federation.
  • Envisioning the future: Specific strategies in compute ecosystems, support for open science or other policy topics.

On Tuesday, October 19th, we have a special EOSC programme: throughout the day and across all tracks, you’ll be able to follow a dedicated EOSC-themed parcours.

The following sessions are organised as colocated evets – you can indicate when registering if you want to attend:

We have some surprises for you in stock – we won’t all reveal beforehand but let’s say you won’t only be able to stretch your mind

So what are you waiting for? We’re looking forward to seeing you again!

Blue-Cloud strengthening interoperability with EOSC via the EGI Check-in service

Blue-Cloud is the thematic entry point for marine research in the growing European Open Science Cloud (EOSC).

This prominent role is underpinned by ensuring interoperability between the Blue-Cloud technical framework and key elements of the EOSC ecosystem, such as the EOSC Portal. The service platform features a range of services and resources that can be used for undertaking world-class science in EOSC by involving leading operational marine research infrastructures and e-infrastructures.

D4Science in the EGI Federation

The technical framework consists of two main components, the Data Discovery and Access Service (DDAS) and the Virtual Research Environment (VRE), which are being fine tuned in collaboration with the marine research community in Europe and beyond.

The VRE is hosted on the D4Science infrastructure, and its core services are used for building and running Virtual Labs.

The D4Science platform has always been well-embedded in the international research community, allowing for seamless access via a range of digital identities. Recently, the VRE has been made accessible via the popular EGI federation of identities – see EGI Check-in – one of the main logins for the wider EOSC ecosystem, and as a consequence Blue-Cloud users can use their Blue-Cloud credentials to access any other EOSC service which recognises the EGI federation of identities.  

This marked another step towards making the Blue-Cloud services easier to reach and useful for the marine research community.

EUH4D celebrates one year of activities!

The EUHubs4Data project officially started in September 2020 and is now celebrating its first year of activities! 

Among other achievements, during this first year the project has published the first version of its federated catalogue of datasets and services, launched two open calls to select new DIHs and the experiments for its data driven innovation programme, co-organised two main events and developed many collaboration opportunities to boost the European data ecosystem forward!

Since its launch, the project has been following its mission of establishing a European Federation of data-driven Innovation Hubs that allows SMEs and start-ups to have access to a federated catalogue of data-driven services, and to contribute to the creation of a common European data space.

Read the full article on the EUHubs4Data website.

EGI Conference 2021: registration is open and preliminary programme is available

Registration for the EGI Conference 2021 is now open and the programme is online!

#EGI2021 is taking place from October 19th until 21st with the theme: “Beyond the Horizon: Shaping the Digital Future”.

At this edition of EGI Conference, we invite the community to work together in shaping the digital future with advanced computing services. Together, we will showcase new services and tools, investigate technical innovations, explore business opportunities and strategic and policy-related initiatives.

The programme will highlight workshops, demonstrations and presentations across four tracks, with one track being fully dedicated to the European Open Science Cloud.

This year also marks 50 years of both the French National Institute of Nuclear and Particle Physics (IN2P3) and the Computing Centre at the University of Zagreb (SRCE), which will have dedicated celebratory keynotes on 19 October.

Following the conference, a co-located workshop on the Global Open Science Cloud (GOSC) will take place on 22 October – you can choose to participate while filling in the event’s registration form! Another complimentary element is the “EGI 101” session which will take place the day before the conference. This session presents all you need to know about EGI, from the community to the federation, in a nutshell!

Last but not least – we will have morning yoga sessions to help you start the conference days in the most zen mood! Will you join us? Then have a look at the programme and register now to attend!

New service level agreements

We are pleased to announce the following new service level agreements:


EISCAT_3D will be the world’s leading facility for research of the upper atmosphere and the near Earth space or the geospace environment. EISCAT_3D is included on the ESFRI roadmap and will be a world-leading international research infrastructure to study the Earth’s atmosphere and to investigate how it is coupled to space. To support its mission, the EGI Federation is pledging the following services: Cloud Compute, Workload Manager, Online Storage, Notebooks and Check-in from providers TR-FC1-ULAKBIM (Turkey) and CESNET-MCC (Czech Republic).

Binareé Oy

Binareé Oy is a recent spin-off from the University of Jyväskylä (Finland), doing research and development in embedded device and IoT security, Binaré offers both professional services and an automated analysis platform to meet various needs for IoT security. EGI is supporting the SME through the EUHubs4Data project, offering Cloud Compute and Online Storage services from the INFN-Cloud Bari provider.


Cos4Cloud is a European Horizon 2020 project to boost citizen science technologies. Cos4Cloud is now using EGI Cloud Compute and Online Storage services from the IFCA-LCG2 provider.


C-SCALE project aims at enhancing the EOSC Portal with pan-European federated data and computing infrastructure services for Copernicus. EGI is supporting one of the project’s use cases – Aquamonitor – with Online Storage, Cloud Compute and High-Throughput Compute services from NCG-INGRID-PT (Portugal) and INFN-CLOUD-BARI (Italy) providers.

New Dutch supercomputer opens in Amsterdam

A new Dutch supercomputer was inaugurated in Amsterdam, at Science Park. The supercomputer, named Snellius, is operated by SURF, the collaborative organisation for ICT in Dutch education and research.

Snellius can perform up to 14 billion calculations per second! This makes it the most powerful high-performance computing system in the Netherlands and it means that researchers will now be able to tackle even more scientific challenges, and faster.

Researchers’ need for computing power, data storage and processing is growing exponentially”, says Walter Lioen, Research Services Manager at SURF. The system must be suitable for all fields of science, from astronomy and research into climate change to medical and social sciences. In addition, it will be possible to expand the supercomputer flexibly in the future.”

Speaking at the opening, Ingrid van Engelshoven, Minister of Education, Culture and Science adds: “This national supercomputer offers the possibility to perform complex calculations that give us more insight into how to tackle major issues. This essential scientific infrastructure is an enormous gain for science and for the Netherlands as a knowledge country. My compliments to SURF and the scientific community.”

Queen Máxima of the Netherlands was present at the event to inaugurate the new supercomputer.

Learn more on the opening.