Ebook
The Art of Balancing AI Inference Cost and Performance
Learn how to cut the cost of intelligence—lower your cost per token, and get the most out of your AI models, by unlocking the full stack advantage with The Art of Balancing AI Inference Cost and Performance.
An IT Leader’s Strategic Guide to Deploying AI for Optimal Performance and Cost Per Token
This guide is designed for IT leaders navigating inference performance in today’s rapidly changing technological landscape. It explains how AI use cases impact performance measurement and optimization, and provides strategies for ensuring optimal performance, reliability, and efficiency. With insights, frameworks, and examples, this guide equips decision-makers with the knowledge to evaluate, deploy, and scale AI solutions effectively.
Varying Inference Types
Learn which NVIDIA AI inference solution fits your needs to balance peak performance, high throughput, and ultra-low latency—critical for deploying large language models at scale.
AI Cost Per Token
Get actionable strategies and proven best practices to optimize your cost per token and maximize value with expert guidance.
LLM Use Case Requirements and Impact
Understand how different AI applications drive unique infrastructure requirements–demanding a purpose-built approach to compute, networking, and software.
Measuring Inference Performance
Learn what to measure—latency, throughput, energy efficiency, and more—to ensure success in assessing performance and maximizing ROI of your AI Infrastructure.