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Use case EDF R&D Aneo
EDF R&D Next-gen elastic HPC Clusters on AWS
z EDF R&D runs a substantial number of numerical simulations and maintains a variety of on-premises High-Performance Computing (HPC) infrastructures, including Slurm clusters such as CRONOS and SELENA. In the meantime, EDF R&D had a deficit of a few million computing hours.
TCDF
AI-powered Climate Scenarios and Forecasts
z In an era where climate change is reshaping industries and global policies, accurate and scalable climate forecasting is more crucial than ever.
cas client - migration-symphony-to-armonik-gmd-journey
Migration from Symphony to ArmoniK: GMD's Journey
z GMD (Global Markets Division) at Crédit Agricole Corporate and Investment Bank (CA-CIB) relied heavily on IBM Symphony for their grid computing needs.
cas client - migration-datasynapse-to-armonik-equity-journey
Migration from DataSynapse to ArmoniK: Equity IT's Journey
z Equity IT at Crédit Agricole Corporate and Investment Bank (CA-CIB) faced significant challenges with their existing grid computing infrastructure, which relied on TibCo DataSynapse.
strategie-migration-cfm-aws-puissance-calcul-scalable
CFM's strategic migration to AWS for scalable quantitative trading operations
z CFM's strategy to reinforce their leadership in the markets by increasing drastically the size of its activities and geographical presence has led to a saturation of their on-premises HPC clusters.
cas clients - bioptimus
Accelerating LLMs on AWS Cloud for bioinformatics
z Aneo supported a bioinformatics company specializing in genAI/LLMs, in optimizing its AWS cloud infrastructure and AI processes to accelerate drug discovery.
cas clients - deeplife
HPC Workload Migration and Optimization to AWS
z DeepLife develops novel approaches to drug discovery based on state-of art multi-omics data, machine learning, and system engineering.
cas clients - okwin
Cloud migration to accelerate drug discovery with AWS
z Owkin is a leading biotechnology company specializing in the application of Artificial Intelligence (AI) and Machine Learning (ML) for drug discovery.