{"id":1463,"date":"2024-09-23T16:55:31","date_gmt":"2024-09-23T16:55:31","guid":{"rendered":"https:\/\/thehive.ai\/blog\/?p=1463"},"modified":"2025-03-03T10:28:00","modified_gmt":"2025-03-03T10:28:00","slug":"announcing-hives-integration-with-nvidia-nim","status":"publish","type":"post","link":"https:\/\/thehive.ai\/blog\/announcing-hives-integration-with-nvidia-nim","title":{"rendered":"Announcing Hive\u2019s Integration with NVIDIA NIM"},"content":{"rendered":"\n<h5 class=\"at-a-glance-heading\">Contents<\/h5>\n\n\n\n<ul class=\"at-a-glance\"><li><a href=\"#anchor1\">Secure and Accelerated Deployments with NIM<\/a><\/li><li><a href=\"#anchor2\">How Customers Use Our Leading AI Detection Models<\/a><\/li><li><a href=\"#anchor3\">Managing the Risks of Generative AI<\/a><\/li><\/ul>\n\n\n\n<p>Hive is excited to announce the groundbreaking integration of our proprietary AI models with <a href=\"https:\/\/build.nvidia.com\/hive\/ai-generated-image-detection\">NVIDIA NIM<\/a>. Our collaboration will allow, for the first time, Hive customers to deploy our industry-leading AI models in private clouds and on-premises data centers. We are also announcing that for the remainder of 2024, internet social platforms can receive up to 90 days of free trial access to our models. To learn more, check out the press release&nbsp;<a href=\"https:\/\/www.businesswire.com\/news\/home\/20240923523695\/en\/Hive-to-Accelerate-AI-Adoption-in-Private-Clouds-and-On-Prem-Environments-Using-NVIDIA-NIM\" target=\"_blank\" rel=\"noreferrer noopener\">here<\/a>.<\/p>\n\n\n\n<p>The first Hive models to be made available with NVIDIA NIM are our AI-generated content detection models, which allow customers to identify AI-generated images, video, and audio. However, we plan to make additional models available through NVIDIA NIM in the coming months, including content moderation, logo detection, optical character recognition, speech transcription, custom models through Hive\u2019s AutoML platform, and more.<\/p>\n\n\n\n<h2 id=\"anchor1\">Secure and Accelerated Deployments with NIM<\/h2>\n\n\n\n<p>Short for NVIDIA Inference Microservices, NIM provides models as optimized containers to prospective customers. This enables organizations to run AI models on NVIDIA GPUs on private clouds, workstations, and on-premises. NVIDIA NIM is part of the NVIDIA AI Enterprise software platform and connects the power of the Hive\u2019s proprietary AI models, securely deployed on NVIDIA\u2019s accelerated infrastructure, with enterprise customers everywhere.&nbsp;<\/p>\n\n\n\n<p>While Hive&#8217;s cloud-based APIs process billions of customer requests every month, among prospective customers\u2019 top requests has been the ability to deploy Hive models in private clouds or on-premises. These are often enterprises whose strict data governance standards challenge the use of our cloud-based APIs. Our integration with NIM solves this challenge.<\/p>\n\n\n\n<h2 id=\"anchor2\">How Customers Use Our Leading AI Detection Models<\/h2>\n\n\n\n<p>Our AI-detection tools\u2014the first Hive models to be made available with NVIDIA NIM\u2014have been widely recognized as best-in-class, including by an <a href=\"https:\/\/arxiv.org\/pdf\/2402.03214\">independent research study<\/a> from the University of Chicago. The researchers found that Hive\u2019s model was the \u201cclear winner\u201d against both its automated competitors and highly-trained human experts in classifying images as either AI-generated or human-created.<\/p>\n\n\n\n<p>With generative AI on the rise, Hive\u2019s AI detection models have become crucial in combating the technology\u2019s misuse. Here are select ways that customers use our models to protect themselves from the potential misuse of AI-generated and synthetic content.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"413\" src=\"https:\/\/staticblog.thehive.ai\/uploads\/2024\/09\/Sample-Results-from-Models-1-1024x413.png\" alt=\"\" class=\"wp-image-1465\" srcset=\"https:\/\/staticblog.thehive.ai\/uploads\/2024\/09\/Sample-Results-from-Models-1-1024x413.png 1024w, https:\/\/staticblog.thehive.ai\/uploads\/2024\/09\/Sample-Results-from-Models-1-300x121.png 300w, https:\/\/staticblog.thehive.ai\/uploads\/2024\/09\/Sample-Results-from-Models-1-768x310.png 768w, https:\/\/staticblog.thehive.ai\/uploads\/2024\/09\/Sample-Results-from-Models-1-1536x619.png 1536w, https:\/\/staticblog.thehive.ai\/uploads\/2024\/09\/Sample-Results-from-Models-1.png 1920w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>Internet social platforms leverage our AI detection models to proactively screen content for the presence of AI-enabled misinformation in real time. Digital platforms can leverage our detections to provide transparency to their users by tagging content as AI-generated, or moderate potential misinformation by implementing sitewide bans.<\/p>\n\n\n\n<p>Insurance companies use our models to automate the process of identifying AI-enabled fraud in evidence submitted with insurance claims. By scanning claims evidence for AI-generated augmentations, insurers can quickly, confidently and securely weed out fraud, saving significant cost from paying out fraudulent claims.&nbsp;<\/p>\n\n\n\n<p>Banks, brokers, and other financial institutions use our AI-generated content detection models to secure their user identification verification and KYC processes, leveraging Hive\u2019s industry-leading AI-generated audio detection model to verify voice recognition workflows and prevent sophisticated financial fraud.&nbsp;<\/p>\n\n\n\n<p>Digital marketplaces use our models to automate the detection and moderation of fraudulent listings. Moreover, marketplaces protect their customers\u2019 experience by verifying that both users and their product reviews are authentic.<\/p>\n\n\n\n<p>Video conferencing and live streaming platforms integrate our AI detection models to authenticate video and audio in real time, preventing both impersonation and the misuse of likenesses.<\/p>\n\n\n\n<p>While not all-encompassing, these are select ways that customers use our models today.<\/p>\n\n\n\n<h2 id=\"anchor3\">Managing the Risks of Generative AI<\/h2>\n\n\n\n<p>The increasing accessibility of Generative AI tools poses a newfound set of risks to companies and organizations. It can be difficult to moderate the proliferation of AI-generated content in a scalable, automated and secure way. We are proud to provide a solution that supports our customers in managing these risks, now made more accessible for enterprises to deploy on-premises or in private clouds with NVIDIA NIM.<\/p>\n\n\n\n<p>If you\u2019re interested in accessing Hive\u2019s AI models through NVIDIA NIM, you can learn more on our website <a href=\"http:\/\/thehive.ai\/nvidia-nim-integration\">here<\/a> or on NVIDIA\u2019s website <a href=\"https:\/\/build.nvidia.com\/hive\/ai-generated-image-detection\">here<\/a>. If you have any questions or would like to learn more, please reach out to <a href=\"mailto:sales@thehive.ai\">sales@thehive.ai<\/a> or contact us <a href=\"https:\/\/thehive.ai\/contact-us?source=blog\">here<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Hive is excited to announce the integration of our AI models with NVIDIA NIM, allowing customers to deploy our industry-leading models in private clouds and on-premises.<\/p>\n","protected":false},"author":7,"featured_media":1472,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"kia_subtitle":"Hive to Accelerate AI Adoption in Private Clouds and On-Prem Environments Using NVIDIA NIM"},"categories":[8,6,7],"tags":[],"_links":{"self":[{"href":"https:\/\/thehive.ai\/blog\/wp-json\/wp\/v2\/posts\/1463"}],"collection":[{"href":"https:\/\/thehive.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/thehive.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/thehive.ai\/blog\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/thehive.ai\/blog\/wp-json\/wp\/v2\/comments?post=1463"}],"version-history":[{"count":3,"href":"https:\/\/thehive.ai\/blog\/wp-json\/wp\/v2\/posts\/1463\/revisions"}],"predecessor-version":[{"id":1527,"href":"https:\/\/thehive.ai\/blog\/wp-json\/wp\/v2\/posts\/1463\/revisions\/1527"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/thehive.ai\/blog\/wp-json\/wp\/v2\/media\/1472"}],"wp:attachment":[{"href":"https:\/\/thehive.ai\/blog\/wp-json\/wp\/v2\/media?parent=1463"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/thehive.ai\/blog\/wp-json\/wp\/v2\/categories?post=1463"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/thehive.ai\/blog\/wp-json\/wp\/v2\/tags?post=1463"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}