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website to learn more about current research projects. The successful candidate fellows will have access to a 70,000-core Infiniband Cluster (Jubail) dedicated to the science division, several GPU-based
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Language Model (LLM) GPU cluster to ensure stable and reliable operation of training tasks; (b) handle GPU node failures, IB network anomalies, CUDA/NCCL errors and Kubernetes scheduling failures, perform
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 22 days ago
, vulnerability management, and security monitoring tools. PREFERRED: Professional certification (CISSP or equivalent), hands-on experience with securing HPC, GPU cluster, or data center environments, experience
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Language Model (LLM) training platform, developing unified capabilities for GPU resource pooling, training job scheduling, inference acceleration and the Machine Learning Operations (MLOps) platform
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différents types de parallélisme, que ce soit au niveau d'un nœud de calcul (CPU et GPU) qu'au niveau d'une grappe de PC. Cet environnement inclura les outils nécessaires à la description et à la construction
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, GPU/FPGA acceleration or high-performance computing. Desirable Knowledge, Skills, and/or Abilities 1. Active government security clearance at Secret level or higher. 2. Demonstrated success in
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compensation package with comprehensive health and welfare benefits. A supportive team environment that promotes collaboration and knowledge sharing. Access to world-class computational infrastructure, GPU-based
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supportive team environment that promotes collaboration and knowledge sharing. Access to world-class computational infrastructure, GPU-based computing environments, and unique high-quality cryoET datasets
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Cluster (Jubail) dedicated to the science division, several GPU-based clusters at NYUAD, and other supercomputer facilities through NYUAD. Applicants should have a PhD in computational astrophysics with
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empowers researchers to solve complex problems through a massive ecosystem of 50,000+ CPU cores, 1,000+ GPU resources, and 50PB+ of storage. At CHPC, we foster a positive, collaborative environment where