LLM Deployment Pipeline Explained Step by Step
Everything you need to deploy LLMs in production – inference frameworks, serving layers, scaling strategies, monitoring, and cost management.
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How to host an AI Hackathon without losing control of your keys or budget
Running an AI hackathon means providing dozens (or hundreds) of teams with access to expensive LLM APIs while maintaining cost control, fair usage, and visibility into what's happening.
Without proper infrastructure, you risk:
- Budget blowouts: A single runaway script consuming your entire API budget- - - No accountability: Unable to
The best approach to compare LLM outputs
Once LLMs are in production, output quality stops being a subjective question and becomes an operational one. Teams are no longer asking whether they need to evaluate outputs, but how to do it reliably as systems evolve.
Production systems can change frequently. Prompts are iterated on, models are swapped, routing
OpenAI Responses API vs. Chat Completions vs. Anthropic Messages API
A side-by-side comparison of OpenAI's Chat Completions, Responses API, and Anthropic's Messages API, covering key differences, use cases, and how to avoid vendor lock-in with Portkey.
Portkey Raises $15M Series A to Scale the Unified Control Plane for Production AI.
Our latest raise enables us to scale the infrastructure layer enterprises need to run AI reliably and accountably
Today we're proud to announce Portkey has raised $15 million in Series A funding led by Elevation Capital, with participation from Lightspeed. This investment reflects the industry-wide shift we&
Securing the MCP Gateway: Lasso Partners with Portkey to Deliver Enterprise-Grade Agentic AI Protection
Today, we’re excited to announce that Portkey and Lasso Security have partnered to provide AI Security directly into Portkey’s MCP Gateway - delivering real-time guardrails, threat detection, and governance enforcement at the protocol level.
Portkey's MCP Gateway serves as the operational control plane for MCP deployments,
Introducing the MCP Gateway
Your interns need three approvals to touch production. Your AI agents? Zero.
With MCP, agents can take real action – connect to databases, trigger workflows, access internal systems. The protocol just works.
But here's what we kept hearing from teams actually running MCP in production: "How do I