Gojek Integrations

KServe is a robust model inference platform on Kubernetes that emphasizes high scalability and adherence to standards, making it ideal for trusted AI applications. This platform is tailored for scenarios requiring significant scalability and delivers a consistent and efficient inference protocol compatible with various machine learning frameworks. It supports contemporary serverless inference workloads, equipped with autoscaling features that can even scale to zero when utilizing GPU resources. Through the innovative ModelMesh architecture, KServe ensures exceptional scalability, optimized density packing, and smart routing capabilities. Moreover, it offers straightforward and modular deployment options for machine learning in production, encompassing prediction, pre/post-processing, monitoring, and explainability. Advanced deployment strategies, including canary rollouts, experimentation, ensembles, and transformers, can also be implemented. ModelMesh plays a crucial role by dynamically managing the loading and unloading of AI models in memory, achieving a balance between user responsiveness and the computational demands placed on resources. This flexibility allows organizations to adapt their ML serving strategies to meet changing needs efficiently.

One platform that combines modular, customizable, scalable, and modular map data management, SDKs, and APIs. NextBillion.ai's Mapverse is a cloud-agnostic platform for global-scale map data management. You can integrate any third-party data such as OSM, HERE, and TomTom and also leverage your own internal data. You can add custom map data layers to your data. You can route, geocode, navigate to it, and serve them in map tile form. Maps, routing, and places APIs + SDKs can be customized to your fleet type, geography, and use case. Optimize search and geocoding and use actual delivery locations in your apps instead of rooftop geocodes. Keep detailed maps of apartment buildings, gated communities and parking lots. Optimize the last leg to maximize delivery efficiency and customer satisfaction.