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Hive to Accelerate AI Adoption in Private Clouds and On-Prem Environments Using NVIDIA NIM

Internet social platforms can receive no-cost, 90-day trial access to Hive’s AI-generated content detection models, optimized by NVIDIA NIM microservices, for the remainder of 2024.

Hive, a leading provider of proprietary AI solutions to understand, search, and generate content, announced it is integrating its proprietary AI models with NVIDIA NIM microservices to accelerate the adoption of its models by enterprises requiring the deployment of AI models in private clouds and on-premises data centers.

NVIDIA NIM, part of the NVIDIA AI Enterprise software platform, provides models as optimized containers and simplifies and accelerates the deployment of custom and pre-trained AI models across a variety of environments, including the cloud, on-premises data centers, and workstations. It connects the power of the latest AI models, securely deployed on NVIDIA’s accelerated infrastructure, with enterprise customers everywhere.

“Hive’s cloud-based APIs process billions of customer requests every month. However, the ability to deploy our models in private clouds or on premises has emerged as a top request from prospective customers in cases where data governance or other factors challenge the use of cloud-based APIs,” said Kevin Guo, co-founder and CEO of Hive. “Our integration with NVIDIA NIM allows us to meaningfully expand the breadth of customers we can serve with our AI models.”

The first Hive models to be made available with NVIDIA NIM are Hive’s AI-generated content detection models, which allow customers to identify AI-generated images, video, and audio. The continued emergence of generative AI tools comes with risk of misrepresentation, misinformation, and fraud – presenting challenges for insurance companies, financial services, online communities, news organizations, and more.

“AI-generated content detection is emerging as an important tool for helping insurance and financial services companies detect attempts at misrepresentation,” said Justin Boitano, vice president of enterprise AI software products at NVIDIA. “With NVIDIA NIM microservices, enterprises can quickly deploy Hive’s detection models to help protect their businesses against fraudulent content, documents and claims.”

Hive today also announced that internet social platforms can receive no-cost, 90-day trial access.

“The newfound ease of creating content with generative AI tools can come with risks to a broad set of companies and organizations, and platforms featuring user-generated content face unique challenges in managing the timely identification and appropriate actioning of AI-generated content at scale,” said Guo. “We are proud to offer a solution to help manage the risks that can result from the distribution of AI-generated content.”

Hive plans 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’s AutoML platform, and more.

Companies interested in accessing Hive’s AI models through NVIDIA NIM can learn more at: https://build.nvidia.com/hive/ai-generated-image-detection and https://thehive.ai/nvidia-nim-integration.

About Hive

Hive is the leading provider of proprietary AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software products powered by proprietary AI models and datasets, unlocking breakthrough applications for critical business needs with deep learning and generative AI. Collectively, Hive's technology is transforming approaches to platform integrity / content moderation (including AI-generated content detection), brand protection, sponsorship measurement, context-based ad targeting, and more. For more information, visit thehive.ai.

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