{"id":3678,"date":"2017-12-05T15:48:01","date_gmt":"2017-12-05T15:48:01","guid":{"rendered":"https:\/\/www.fusioninformatics.com\/blog\/artificial-intelligence\/nvidia-gpu-cloud-now-available-to-thousands-of-ai-researchers-using-nvidia-desktop-gpus\/"},"modified":"2020-01-08T18:58:35","modified_gmt":"2020-01-08T13:28:35","slug":"nvidia-gpu-cloud-now-available-to-thousands-of-ai-researchers-using-nvidia-desktop-gpus","status":"publish","type":"post","link":"https:\/\/www.fusioninformatics.com\/blog\/nvidia-gpu-cloud-now-available-to-thousands-of-ai-researchers-using-nvidia-desktop-gpus\/","title":{"rendered":"NVIDIA GPU Cloud Now Available to Thousands of AI Researchers Using NVIDIA Desktop GPUs"},"content":{"rendered":"<p>NVIDIA this week announced that hundreds of thousands of AI researchers using desktop GPUs can now tap into the power of\u00a0NVIDIA GPU Cloud\u00a0(NGC) as the company has extended NGC support to\u00a0NVIDIA TITAN.<br \/>\nNVIDIA also announced expanded NGC capabilities \u2014 adding new software and other key updates to the NGC container registry \u2014 to provide researchers a broader, more powerful set of tools to advance their AI and high performance computing research and development efforts.<br \/>\nCustomers using NVIDIA\u00ae\u00a0Pascal architecture-powered TITAN GPUs can\u00a0sign up\u00a0immediately for a no-charge NGC account and gain full access to a comprehensive catalog of GPU-optimized deep learning and HPC software and tools. Other supported computing platforms include\u00a0NVIDIA DGX-1,\u00a0DGX Station\u00a0and NVIDIA Volta-enabled instances on Amazon EC2.<br \/>\nSoftware available through NGC\u2019s rapidly expanding container registry includes NVIDIA optimized deep learning frameworks such as TensorFlow and PyTorch, third-party managed HPC applications, NVIDIA HPC visualization tools, and NVIDIA\u2019s programmable inference accelerator,\u00a0NVIDIA TensorRT 3.0.<br \/>\n&#8220;We built NVIDIA GPU Cloud to give AI developers easy access to the software they need to do groundbreaking work,\u201d said Jim McHugh, vice president and general manager of enterprise systems at NVIDIA. \u201cWith GPU-optimized software now available to hundreds of thousands of researchers using NVIDIA desktop GPUs, NGC will be a catalyst for AI breakthroughs and a go-to resource for developers worldwide.\u201d<br \/>\nAn early adopter of NGC is\u00a0GE Healthcare. The first medical device maker to use NGC, the company is tapping the deep learning software in NGC\u2019s container registry to accelerate bringing the most sophisticated AI to its 500,000 imaging devices globally with the goal of improving patient care.<br \/>\nRead the full press release at NVIDIA.com.<br \/>\nSource: AI Trends<\/p>\n","protected":false},"excerpt":{"rendered":"NVIDIA this week announced that hundreds of thousands of AI researchers using desktop GPUs can now tap into&hellip;\n","protected":false},"author":1,"featured_media":3679,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[811],"tags":[812],"class_list":{"0":"post-3678","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-artificial-intelligence","8":"tag-ai"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - 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