What if you could accelerate your CFD simulations, reducing run time from four weeks to six hours? ?Ansys has made it a reality by harnessing the power of GPUs. Recently Ansys Fluent solved a 2.4-billion-cell problem at the Texas Advanced Computing Center using 320 NVIDIA GH200 Grace Hopper Superchips, providing a 110x speed-up over using 2,048 CPU cores. Learn more about this exciting milestone, that can enable faster, higher-fidelity simulation, and improve the R&D process across industries. #SC24
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News and information about GPU-accelerated data centers for high performance computing (HPC), supercomputing, AI, deep learning, IT, and AI-accelerated analytics.
- 网站
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https://www.nvidia.com/en-us/data-center/
NVIDIA Data Center的外部链接
- 所属行业
- 计算机硬件制造业
- 规模
- 超过 10,001 人
- 总部
- Santa Clara，California
动态
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Several products from the Altair HyperWorks design and simulation platform now support NVIDIA Grace CPU and Grace Hopper Superchip architectures. This highlights the years of Altair’s deep collaboration with NVIDIA and gives customers more flexibility to run Altair tools on NVIDIA and Arm architectures: https://bit.ly/48T3eNI #OnlyForward
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?? NVIDIA’s Ian Finder and Supermicro’s Patrick Chiu joined WEKA Chief Product Officer Nilesh Patel on SiliconANGLE & theCUBE at #SC24 to unpack the our industry-first joint solution for the NVIDIA Grace CPU Superchip and discuss the opportunities it presents. Check out the full interview and write-up of the conversation: https://weka.ly/3ZkhNXM
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??? ?? Armada, an NVIDIA Inception member, builds NVIDIA-accelerated edge #datacenters used by leading heavy industries to remotely run #AI and #HPC applications with reliable connectivity. Download the solution brief to learn more. ?? https://nvda.ws/3CAsFYo
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At #MSIgnite 2024, we unveiled groundbreaking product integrations designed to elevate full-stack NVIDIA #AI on Microsoft applications. Read the blog to learn more ?? https://nvda.ws/3AM2Sfp
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Learn how researchers from Massachusetts Institute of Technology, Mines Paris-PSL, and Argonne National Laboratory used the NVIDIA cuDSS library to solve power grid optimization problems in real-time at scales large enough to address the largest US power grids. https://nvda.ws/40XQhQL #SC24
NVIDIA cuDSS Library Removes Barriers to Optimizing the US Power Grid | NVIDIA Technical Blog
developer.nvidia.com
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#Acceleratedcomputing is enabling giant leaps in performance and #energyefficiency. Read our latest tech blog to learn how Ansys is utilizing #NVIDIAGrace and #NVIDIAGraceHopper to deliver these advancements. #SC24 ?? https://nvda.ws/40To51C
Advancing Ansys Workloads with NVIDIA Grace and NVIDIA Grace Hopper | NVIDIA Technical Blog
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At #HPEDiscover Barcelona, HPE announced an expansion of the partner ecosystem for HPE Private Cloud AI, a solution co-developed with NVIDIA and part of the NVIDIA AI Computing by HPE portfolio. In addition, Deloitte announced a collaboration with HPE and NVIDIA to support Deloitte’s AI solutions on HPE Private Cloud AI with NVIDIA AI Enterprise. Learn more now. #AI #IT
Reduced complexity, accelerated object storage, upgrades, and new offerings are all coming to HPE GreenLake cloud. ?? Learn about the advancements announced at #HPEDiscover Barcelona from HPE leaders. ?? https://hpe.to/6043sQuIf
Hewlett Packard Enterprise advances hybrid cloud leadership with unified virtualization management, fast object storage and disconnected private clouds
hpe.com
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Explore a tutorial on implementing high-performance #CUDA math operations in #Python, interoperable with #PyTorch and #CuPy, using nvmath-python. Learn how to fuse epilog operations with matrix multiplication with nvmath-python. #SC24 ?? https://nvda.ws/4g1DaTb
Fusing Epilog Operations with Matrix Multiplication Using nvmath-python | NVIDIA Technical Blog
developer.nvidia.com
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Industry leaders discuss AI’s environmental impact at COP29 Azerbaijan. Learn how #acceleratedcomputing is paving the way to green computing, driving #energyefficiency, and reducing energy consumption across industries.
AI at COP29: Balancing Innovation and Sustainability
blogs.nvidia.com