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Content-Type: text/plain; charset=UTF-8
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Bring sophisticated vision AI services to market far faster and with less e=
ffort.
Join the Metropolis Microservices Early Access Program
Metropolis microservices offers cloud-native, customizable, and enterprise-=
class building blocks that you can easily adapt to accelerate your paths to=
delivering vision AI applications and services.=20
The early access version includes the following powerful features:
=09- Advanced analytics capabilities that help your apps gain insights from=
what=E2=80=99s happening, reveal patterns, and predict what might happen n=
ext from objects=E2=80=99 movements and behaviors
=09- Configurability and customizability at all levels, from pretrained mod=
els, reference app structure, and APIs, to microservices code itself
=09- Cloud-native architecture with well-defined APIs and industry standard=
s, allowing seamless integration with or within your existing applications =
and solutions
The early access program also delivers three AI workflows for retail loss =
prevention, multi-camera tracking, and occupancy analytics (including retai=
l store analytics). These are prepackaged reference examples that include m=
icroservices, pretrained AI models, and the applications needed to jump-sta=
rt your development. They offer a starting point for enterprises, systems i=
ntegrators, and developers to easily bring sophisticated vision AI services=
to market far faster.=20
Metropolis microservices and AI workflows are now available for early acce=
ss.
Apply now <https://go.nvidianews.com/MTU2LU9GTi03NDIAAAGKQgjB_Q7rRUMbHc4gs=
Ue42Fzx4j8stEGDwXufVaGZZlfwUxW-1R6TG0CQvIumWJiOVg7XPgA=3D>
To Learn More about Metropolis Microservices
- Upcoming GTC talk: End-to-end, Cloud-Native Vision AI: From Synthetic Dat=
a to Solution Deployment <https://go.nvidianews.com/MTU2LU9GTi03NDIAAAGKQgj=
B_Sj64wz8Uz6WfSryd5HXHgBioJvabaB6p7Dl5appraP-BEEGSTaG_uX8euWs7DHYyKQ=3D>
=09- Upcoming GTC talk: Leveraging NVIDIA Pre-Trained Models to Build Loss-=
Prevention Applications Faster <https://go.nvidianews.com/MTU2LU9GTi03NDIAA=
AGKQgjB_UAm06yDqiN_3M7iaTJGS9Rv-znhrC3IyWtqpGe_lqk5E-SsAE0_XHanM_fIf9l6F9w=
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