We have evaluated multiple AI Gateways for our organization needs, out of all Portkey AI Gateway stood out due to the following reasons - Great support (dedicated and quick support even during the proof of concept phase) - Straightforward to use the APIs, less time to use the various LLMs rather than modifying the end-application code to work with different models. - Observability, the analytics feature is the best we always wanted to have which provides detailed insights into traces, errors, caching etc., - FinOps - every enterprise needs higher visibility into the consumptions and ability to distinguish between the applications, the option to get visibility based on metadata is the most welcome feature - Time to enable a new model is much faster and the integration is seamless - Deployment of the Gateway can be done in minutes so as the Disaster recovery which is essential for an enterprise. - One thing I want to emphasize is that, the pace of adding new features, during the PoC phase, Portkey was able to deliver a lot of features and functionalities (workspaces, budget features, RBAC etc.,) we wanted and that helped us in the decision and supported the scalable design.

Einfach einzurichten und Entwickler können Anmeldedaten mit LLMs teilen.

Portkey AI ist sehr einfach zu integrieren, während andere Tools verglichen werden, Portkey verbessert die Kosteneffizienz und die Leistung ist auch sehr gut für generative KI-Anwendungen.