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Update batch-pool-compute-intensive-sizes.md
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articles/batch/batch-pool-compute-intensive-sizes.md

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To run certain Batch jobs, you can take advantage of Azure VM sizes designed for large-scale computation. For example:
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* To run multi-instance [MPI workloads](batch-mpi.md), choose H-series or other sizes that have a network interface for Remote Direct Memory Access (RDMA). These sizes connect to an InfiniBand network for inter-node communication, which can accelerate MPI applications.
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* To run multi-instance [MPI workloads](batch-mpi.md), choose HB-series or other sizes that have a network interface for Remote Direct Memory Access (RDMA). These sizes connect to an InfiniBand network for inter-node communication, which can accelerate MPI applications.
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* For CUDA applications, choose N-series sizes that include NVIDIA Tesla graphics processing unit (GPU) cards.
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