Scalable LLM infrastructure: Cost vs Performance trade-offs
By Ankush Sabharwal, CEO & Founder, CoRover.ai
Large Language Models (LLMs) represent the paradigm shift that has transformed the AI landscape around the world. The rapid proliferation of Conversational AI, AI Agents, and AI Assistants (e.g., VideoBot/VoiceBot/ChatBot) is accelerating enterprise adoption of intelligent systems to improve customer interactions, automate processes, and enhance operational efficiency.
As exciting as this growth is, it raises an important question: do enterprises need to spend significantly more to achieve better results? Not necessarily.
The organisations seeing the most success aren’t always the ones spending the most. They’re the ones making deliberate technology choices, building the right architecture, and using resources where they create the greatest impact.
Rethinking the Cost vs. Performance Equation
Many organizations assume that AI infrastructure is a trade-off between cost and performance. In practice, it doesn’t have to be. Organizations that understand their use case well and design the right architecture can...
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