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Azure HPC Cache: Reducing latency between Azure and on-premises storage 게시자: Scott Jeschonek 블로그
https://azure.microsoft.com/ko-kr/blog/azure-hpc-cache-reducing-latency-between-azure-and-on-premises-storage/Today we’re previewing the Azure HPC Cache service, a new Azure offering that empowers organizations to more easily run large, complex high-performance computing (HPC) workloads in Azure
Introducing the new HB and HC Azure VM sizes for HPC 게시자: Evan Burness 블로그
https://azure.microsoft.com/ko-kr/blog/introducing-the-new-hb-and-hc-azure-vm-sizes-for-hpc/We are excited to announce two additions to our H-series Azure virtual machines for High-Performance Computing (HPC)
Azure Managed Lustre—Parallel file system for HPC and AI workloads 게시자: Dilip Sundarraj 블로그
https://azure.microsoft.com/ko-kr/blog/azure-managed-lustre-parallel-file-system-for-hpc-and-ai-workloads/Today we are excited to announce the public preview availability of Microsoft Azure Managed Lustre, a new addition to the Azure HPC + AI storage family of products
Join us at NAFEMS World Congress to learn more about Azure HPC and AI Supercomputing 게시자: Lukasz Miroslaw 블로그
https://azure.microsoft.com/ko-kr/blog/join-us-at-nafems-world-congress-to-learn-more-about-azure-hpc-and-ai-supercomputing/Design and deployment of high performance computing (HPC) infrastructure is often constrained by physical resources, internal know-how, and policies
ANSYS CFD and Microsoft Azure perform best HPC scalability in the cloud 게시자: Tejas Karmarkar 블로그
https://azure.microsoft.com/ko-kr/blog/ansys-cfd-and-microsoft-azure-perform-the-best-hpc-scalability-in-the-cloud/Today we are delighted to announce the addition of ANSYS computational fluid dynamics (CFD) solvers to this ecosystem.
Deep Learning, Simulation and HPC Applications with Docker and Azure Batch 게시자: Fred Park 블로그
https://azure.microsoft.com/ko-kr/blog/deep-learning-simulation-and-hpc-applications-with-docker-and-azure-batch/The Azure Big Compute team is happy to announce version 1.0.0 of the Batch Shipyard toolkit, which enables easy deployment of batch-style Dockerized workloads to Azure Batch compute pools. Azure…
Azure HBv3 virtual machines for HPC, now up to 80 percent faster with AMD Milan-X CPUs 게시자: Evan Burness 블로그
https://azure.microsoft.com/ko-kr/blog/azure-hbv3-virtual-machines-for-hpc-now-up-to-80-percent-faster-with-amd-milanx-cpus/We are announcing that a private preview is now live for Azure HBv3 virtual machines enhanced by AMD EPYC 3rd Gen processors with 3D v-cache, codenamed “Milan-X”. These processors significantly improve the performance, scaling efficiency, and cost-effectiveness of a variety of memory performance-bound workloads such as CFD, explicit finite element analysis, computational geoscience, weather simulation, and silicon design RTL workflows.
Azure HBv3 VMs for HPC now generally available with AMD EPYC CPUs with AMD 3D V-Cache 게시자: Evan Burness 블로그
https://azure.microsoft.com/ko-kr/blog/azure-hbv3-vms-for-hpc-now-generally-available-with-amd-epyc-cpus-with-amd-3d-vcache/Azure HBv3 virtual machines (VMs) are now upgraded to and generally available with AMD EPYC 3rd Gen processors with 3D V-Cache, formerly codenamed “Milan-X”, in the Azure East US, South Central, and West Europe regions. The new processors significantly improve the performance, scaling efficiency, and cost-effectiveness of a variety of memory performance-bound workloads such as CFD, explicit finite element analysis, computational geoscience, weather simulation, and silicon design right-to-left (RTL) workflows.
Availability of Linux RDMA on Microsoft Azure 게시자: Tejas Karmarkar 블로그
https://azure.microsoft.com/ko-kr/blog/azure-linux-rdma-hpc-available/With this release, we mark a new milestone in our cloud journey and in our vision to make HPC and Big Compute more accessible and cost-effective
Azure high-performance computing at Supercomputing 2021 게시자: Kevin Raines 블로그
https://azure.microsoft.com/ko-kr/blog/azure-highperformance-computing-at-supercomputing-2021/Azure’s market-leading vision for HPC and AI is based on a commitment to continual improvement and backed by a core of genuine and recognized HPC expertise, using proven HPC technology and design principles, enhanced with the best features of the cloud