PerceptiLabs
PerceptiLabs, a company that provided a platform for building and deploying machine learning models, has ceased operations.
Services
PerceptiLabs offered a platform designed to build, train, analyze, and deploy production-grade models. Their platform featured a drag-and-drop interface, allowing users to iterate models rapidly. In addition, full code access for model and component customization was provided, enabling detailed control and flexibility. Auto-generated metrics helped users understand their models more deeply. The platform also supported model and data versioning, which was essential for maintaining organization and consistency.
Technological Infrastructure
PerceptiLabs utilized Kubernetes and OpenShift to provide a scalable infrastructure. This choice ensured that their platform could handle varying workloads efficiently, offering robustness and flexibility. Kubernetes is known for its container orchestration capabilities, and OpenShift adds a layer of enterprise-grade functionality, making it suitable for large-scale deployments.
Integration and Partnerships
PerceptiLabs integrated with several tools to enhance its platform capabilities. They partnered with Intel for model optimization, leveraging advanced hardware and software to improve performance. Additionally, they used Gradio to facilitate model deployment, which made it easier for users to deploy and share machine learning models with interactive demos.
Community Resources
PerceptiLabs contributed to the machine learning community by collecting public datasets and State-of-the-Art models for public use. These resources were invaluable for both beginners and advanced practitioners in the field, providing readily available, high-quality data and models to work with, test, and learn from.