{"id":230,"date":"2022-07-06T12:01:56","date_gmt":"2022-07-06T04:01:56","guid":{"rendered":"https:\/\/novaglobal.com.sg\/?p=230"},"modified":"2022-08-22T16:13:14","modified_gmt":"2022-08-22T08:13:14","slug":"nvidia-launchpad-nvidia-ai-enterprise","status":"publish","type":"post","link":"https:\/\/novaglobal.com.sg\/index.php\/nvidia-launchpad-nvidia-ai-enterprise\/","title":{"rendered":"NVIDIA LaunchPad + NVIDIA AI Enterprise"},"content":{"rendered":"\n

What is NVIDIA LaunchPad<\/strong><\/h4>\n\n\n\n

NVIDIA\nLaunchPad is a free program that provides users short-term access to a large\ncatalog of hands-on labs. Enterprises and organizations can immediately tap\ninto the necessary hardware and software stacks to experience end-to-end\nsolution workflows in the areas of AI, data science, 3D design collaboration\nand simulation, and more.<\/p>\n\n\n\n

What to Expect on NVIDIA LaunchPad<\/strong><\/h4>\n\n\n\n
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What is NVIDIA AI Enterprise<\/strong><\/h4>\n\n\n\n

NVIDIA AI\nEnterprise Catalog gives you the entire access to an end-to-end, cloud-native,\nsuite of AI and data analytics software, optimized and certified by NVIDIA.\nIt\u2019s certified to deploy anywhere\u2014from the enterprise data center to the public\ncloud\u2014and includes global enterprise support and training. It includes key\nenabling technologies and software from NVIDIA for rapid deployment,\nmanagement, and scaling of AI workloads in the modern hybrid cloud.<\/p>\n\n\n\n

NVIDIA AI\nEnterprise enables the following:<\/p>\n\n\n\n

  1. Leverage fully integrated, optimized,\ncertified, and supported software from NVIDIA for AI workloads.<\/li>
  2. Run NVIDIA AI frameworks and tools optimized\nfor GPU acceleration, reducing deployment time and ensuring reliable\nperformance.<\/li>
  3. Deploy anywhere \u2013 including on popular data\ncenter platforms from VMware and Red Hat, mainstream NVIDIA-Certified Systems\nconfigured with or without GPUs, and on GPU-accelerated instances in the public\ncloud.<\/li>
  4. Leverage the jointly certified NVIDIA and Red\nHat solution to deploy and manage AI workloads in containers or VMs with\noptimized software.<\/li>
  5. Scale out to multiple nodes, enabling even the\nlargest deep learning training models to run on the VMware vSphere. Previously,\nscaling with bare metal performance in a fully virtualized environment was\nlimited to a single node, limiting the complexity and size of AI workloads that\ncould be supported.<\/li>
  6. Run AI workloads at near bare-metal performance\nwith new optimizations for GPU acceleration on vSphere, including support for\nthe latest Ampere architecture including the NVIDIA A100. Additionally,\ntechnologies like GPUDirect Communications can now be supported on vSphere. This\nprovides communication between GPU memory and storage across a cluster for\nimproved performance.<\/li><\/ol>\n\n\n\n
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    The NVIDIA\nAI Enterprise includes:<\/p>\n\n\n\n