Why run Generative AI models at the source of data collection?
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Lower Cost
Measurably reduce total cost of ownership (TCO), especially because fine-tuning and deployment on the cloud is cost prohibitive.
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Low Latency
Achieve immediate insights directly at the data source, eliminating latency and ensuring timely results.
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Bandwidth Efficiency
Businesses can conserve significant bandwidth, reducing operational costs and improving reliability.
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Enhanced Security
Sensitive data remains on-prem, minimizing the piracy and privacy risks associated with continuous cloud transmissions.
Use Cases
With Generative AI at the edge, Kinara paves the way for businesses deploying innovative and targeted applications across diverse industries.
Direct Response to Visual Inputs and Textual Instructions
The multimodal LLaVa model extracts features and contextual information from images/video and utilizes text/voice inputs to focus or perform tasks based on the visual input.
Benefits
Provides live analysis for applications including monitoring the elderly, industrial safety analysis, factory hazard detection, and building or home security.
Real-time Image and Video Generation
As its name implies, Generative AI can generate images and videos in real-time. It can also be used for image correction and replacing objects within images.
Benefits
Improved clarity, better decision-making based on high-quality visuals, efficient local processing.
Customized Retail Experiences
In retail settings, generative AI can create virtual showrooms or product designs tailored to individual customer preferences.
Benefits
Enhanced customer engagement, increased sales conversions, real-time product customization.
Immersive Gaming
Generative AI can create realistic virtual objects, environments, or NPCs, enhancing the gaming experiences.
Benefits
Dynamic and immersive experiences, reduced dependency on pre-stored graphics, instant adaptation to user interactions.