{"id":128006,"date":"2023-09-19T23:40:06","date_gmt":"2023-09-19T23:40:06","guid":{"rendered":"https:\/\/blogs.nvidia.com\/?p=66948"},"modified":"2023-09-19T23:40:06","modified_gmt":"2023-09-19T23:40:06","slug":"oracle-cloud-infrastructure-offers-new-nvidia-gpu-accelerated-compute-instances","status":"publish","type":"post","link":"https:\/\/webdomino.net\/index.php\/nvidia\/oracle-cloud-infrastructure-offers-new-nvidia-gpu-accelerated-compute-instances\/","title":{"rendered":"Oracle Cloud Infrastructure Offers New NVIDIA GPU-Accelerated Compute Instances"},"content":{"rendered":"<div id=\"bsf_rt_marker\"><p>With <a href=\"https:\/\/www.nvidia.com\/en-us\/ai-data-science\/generative-ai\/\"  rel=\"noopener\">generative AI<\/a> and <a href=\"https:\/\/developer.nvidia.com\/blog\/tag\/large-language-models\/\"  rel=\"noopener\">large language models<\/a> (LLMs) driving groundbreaking innovations, the computational demands for training and inference are skyrocketing.<\/p>\n<p>These modern-day generative AI applications demand full-stack accelerated compute, starting with state-of-the-art infrastructure that can handle massive workloads with speed and accuracy. To help meet this need, Oracle Cloud Infrastructure today announced general availability of <a href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/h100\/\"  rel=\"noopener\">NVIDIA H100 Tensor Core GPUs<\/a> on <a href=\"https:\/\/www.oracle.com\/cloud\/compute\/\"  rel=\"noopener\">OCI Compute<\/a>, with <a href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/l40s\/\"  rel=\"noopener\">NVIDIA L40S GPUs<\/a> coming soon.<\/p>\n<h2><strong>NVIDIA H100 Tensor Core GPU Instance on OCI<\/strong><\/h2>\n<p>The OCI Compute bare-metal instances with NVIDIA H100 GPUs, powered by the <a href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/technologies\/hopper-architecture\/\"  rel=\"noopener\">NVIDIA Hopper architecture<\/a>, enable an order-of-magnitude leap for large-scale AI and high-performance computing, with unprecedented performance, scalability and versatility for every workload.<\/p>\n<p>Organizations using NVIDIA H100 GPUs obtain up to a <a href=\"https:\/\/resources.nvidia.com\/en-us-tensor-core\/nvidia-tensor-core-gpu-datasheet\"  rel=\"noopener\">30x increase in AI inference performance<\/a> and a <a href=\"https:\/\/resources.nvidia.com\/en-us-tensor-core\/nvidia-tensor-core-gpu-datasheet\"  rel=\"noopener\">4x boost in AI training<\/a> compared with tapping the <a href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/a100\/\"  rel=\"noopener\">NVIDIA A100 Tensor Core GPU<\/a>. The H100 GPU is designed for resource-intensive computing tasks, including training LLMs and inference while running them.<\/p>\n<p>The BM.GPU.H100.8 OCI Compute shape includes eight NVIDIA H100 GPUs, each with 80GB of HBM2 GPU memory. Between the eight GPUs, 3.2TB\/s of bisectional bandwidth enables each GPU to communicate directly with all seven other GPUs via NVIDIA <a href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/nvlink\/\"  rel=\"noopener\">NVSwitch and NVLink 4.0 technology<\/a>. The shape includes 16 local NVMe drives with a capacity of 3.84TB each and also includes 4th Gen Intel Xeon CPU processors with 112 cores, as well as 2TB of system memory.<\/p>\n<p>In a nutshell, this shape is optimized for organizations\u2019 most challenging workloads.<\/p>\n<p>Depending on timelines and sizes of workloads, <a href=\"https:\/\/www.oracle.com\/ai-infrastructure\/\"  rel=\"noopener\">OCI Supercluster<\/a> allows organizations to scale their NVIDIA H100 GPU usage from a single node to up to tens of thousands of H100 GPUs over a high-performance, ultra-low-latency network.<\/p>\n<h2><strong>NVIDIA L40S GPU Instance on OCI<\/strong><\/h2>\n<p>The NVIDIA L40S GPU, based on the NVIDIA <a href=\"https:\/\/www.nvidia.com\/en-us\/geforce\/ada-lovelace-architecture\/\"  rel=\"noopener\">Ada Lovelace architecture<\/a>, is a universal GPU for the data center, delivering breakthrough multi-workload acceleration for LLM inference and training, visual computing and video applications. The OCI Compute bare-metal instances with NVIDIA L40S GPUs will be available for early access later this year, with general availability coming early in 2024.<\/p>\n<p>These instances will offer an alternative to the NVIDIA H100 and A100 GPU instances for tackling smaller- to medium-sized AI workloads, as well as for graphics and video compute tasks. The NVIDIA L40S GPU achieves up to a <a href=\"https:\/\/resources.nvidia.com\/en-us-l40s\/l40s-datasheet-28413\"  rel=\"noopener\">20% performance boost<\/a> for generative AI workloads and as much as a <a href=\"https:\/\/resources.nvidia.com\/en-us-l40s\/l40s-datasheet-28413\"  rel=\"noopener\">70% improvement in fine-tuning AI models<\/a> compared with the NVIDIA A100.<\/p>\n<p>The BM.GPU.L40S.4 OCI Compute shape includes four NVIDIA L40S GPUs, along with the latest-generation Intel Xeon CPU with up to 112 cores, 1TB of system memory, 15.36TB of low-latency NVMe local storage for caching data and 400GB\/s of cluster network bandwidth. This instance was created to tackle a wide range of use cases, ranging from LLM training, fine-tuning and inference to <a href=\"https:\/\/www.nvidia.com\/en-us\/omniverse\/\"  rel=\"noopener\">NVIDIA Omniverse<\/a> workloads and industrial digitalization, 3D graphics and rendering, video transcoding and FP32 HPC.<\/p>\n<h2><strong>NVIDIA and OCI: Enterprise AI<\/strong><\/h2>\n<p>This collaboration between OCI and NVIDIA will enable organizations of all sizes to join the generative AI revolution by providing them with state-of-the-art NVIDIA H100 and L40S GPU-accelerated infrastructure.<\/p>\n<p>Access to NVIDIA GPU-accelerated instances may not be enough, however. Unlocking the maximum potential of NVIDIA GPUs on OCI Compute means having an optimal software layer. <a href=\"https:\/\/blogs.oracle.com\/cloud-infrastructure\/post\/announcing-support-nvidia-ai-enterprise-oci\"  rel=\"noopener\">NVIDIA AI Enterprise<\/a> streamlines the development and deployment of enterprise-grade accelerated AI software with open-source containers and frameworks optimized for the underlying NVIDIA GPU infrastructure, all with the help of <a href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/products\/ai-enterprise-suite\/support\/\"  rel=\"noopener\">support services<\/a>.<\/p>\n<p>To learn more, join <a href=\"https:\/\/www.nvidia.com\/en-us\/events\/oracle-cloudworld\/\"  rel=\"noopener\">NVIDIA at Oracle Cloud World<\/a> in the AI Pavillion, attend this <a href=\"https:\/\/reg.rf.oracle.com\/flow\/oracle\/cwoh23\/catalog\/page\/catalog\/session\/1692128535060001je8W\"  rel=\"noopener\">session<\/a> on the new OCI instances on Wednesday, Sept. 20, and visit these web pages on <a href=\"https:\/\/www.oracle.com\/cloud\/\"  rel=\"noopener\">Oracle Cloud Infrastructure<\/a>, <a href=\"https:\/\/www.oracle.com\/cloud\/compute\/\"  rel=\"noopener\">OCI Compute<\/a>, <a href=\"https:\/\/www.oracle.com\/artificial-intelligence\/\"  rel=\"noopener\">how Oracle approaches AI<\/a> and the <a href=\"https:\/\/www.nvidia.com\/en-us\/ai-data-science\/\"  rel=\"noopener\">NVIDIA AI Platform<\/a>.<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>With generative AI and large language models (LLMs) driving groundbreaking innovations, the computational demands for training and inference are skyrocketing. These modern-day generative AI applications demand full-stack accelerated compute, starting with state-of-the-art infrastructure that can handle massive workloads with speed and accuracy. To help meet this need, Oracle Cloud Infrastructure today announced general availability of <a href=\"https:\/\/blogs.nvidia.com\/blog\/2023\/09\/19\/oracle-cloud-infrastructure-nvidia-gpu-accelerated-compute-instances\/\">Read article &gt;<\/a><\/p>\n","protected":false},"author":266,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_mi_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[343],"tags":[4223,35,847,432,12142,52],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Oracle Cloud Infrastructure Offers New NVIDIA GPU-Accelerated Compute Instances - WebDomino.NET<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"http:\/\/webdomino.net\/index.php\/nvidia\/oracle-cloud-infrastructure-offers-new-nvidia-gpu-accelerated-compute-instances\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Oracle Cloud Infrastructure Offers New NVIDIA GPU-Accelerated Compute Instances - WebDomino.NET\" \/>\n<meta property=\"og:description\" content=\"With generative AI and large language models (LLMs) driving groundbreaking innovations, the computational demands for training and inference are skyrocketing. 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