LLM proxy vs AI gateway: what’s the difference and which one do you need? Understand the difference between an LLM proxy and an AI gateway, and learn which one your team needs to scale LLM usage effectively.
How to use Roo Code in your organization (the right way) Roo Code is powerful for developers, but scaling it across an organization requires visibility, access controls, and governance. Learn how to make it enterprise-ready.
Bringing multimodal models to production with an AI Gateway Learn how to integrate and manage multimodal models using an AI Gateway. Simplify access, enforce guardrails, and scale safely across teams with one unified interface.
How an AI gateway improves the management of AI deployments Discover how an AI gateway helps streamline the management of AI deployments, improving cost control, observability, and security across models and providers.
Securing your AI via AI Gateways Learn how AI gateways like Portkey with security solutions like Pillar security help to protect against prompt injections, data leaks, and compliance risks in your AI infrastructure.
The real cost of building an LLM gateway When your AI apps start to scale, managing multiple LLM integrations can get messy fast. That's when teams usually realize they need an LLM gateway. Many developers jump straight to building their own solution, often without seeing the full picture of what's involved. Drawing from what we've seen across engineering
How to scale AI apps - Lessons from building a billion-scale AI Gateway Discover the journey of Portkey.ai in building a billion-scale AI Gateway. Learn key lessons on managing costs, optimizing performance, and ensuring accuracy while scaling generative AI applications.