Edge AI developers often juggle disparate tools for model management, compilation, optimization, and deployment across diverse hardware targets, leading to fragmented workflows and slower time-to-market. DeGirum®, a leader in edge AI software, has addressed this challenge with the release of Workspaces in its AI Hub platform.
Quick Intel
This unified approach empowers developers and teams to focus on innovation rather than tool integration, delivering faster prototyping, better collaboration, and more efficient edge AI solutions across supported hardware.
"We are excited to introduce Workspaces in AI Hub, which gives developers a unified place to access Workspace Model Zoos, Cloud Compiler, PySDK integration, and Application Packages, including DeGirum Face Recognition, to accelerate edge AI development," said Bill Eichen, VP of Business Development at DeGirum.
DeGirum's platform simplifies the complexities of edge AI by providing consistent workflows and broad hardware compatibility, enabling organizations to deploy intelligent applications at the edge with greater speed and reliability.
About DeGirum
DeGirum builds software that simplifies developing and deploying edge AI across supported devices. DeGirum's platform includes AI Hub, model zoos, the DeGirum Cloud Compiler, PySDK integration, and Application Packages to help teams move from evaluation to deployment with consistent APIs and repeatable workflows. Founded in 2017 by semiconductor industry veterans, DeGirum is headquartered in Santa Clara, California.
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