**Technical Overview**

# GPU-Accelerated AI Inference

Get tips and best practices for deploying, running, and scaling AI models for inference in applications.

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## What Will You Learn?

AI is driving breakthrough innovation across industries, but many projects fall short of expectations in production. Download this paper to explore the evolving AI inference landscape, architectural considerations for optimal inference, end-to-end deep learning workflows, and how to take AI-enabled applications from prototype to production with the [NVIDIA AI inference platform](https://www.nvidia.com/en-us/deep-learning-ai/solutions/inference-platform.md).

## Challenges to GPU-Accelerated AI Inference

#### AI Prototype-to-Production Gap

Taking AI models into production can be challenging due to conflicts between model-building nuances and the operational realities of IT systems.

#### The Inference Landscape

The ideal place to execute AI inference can vary, depending on the service or product that you’re integrating your AI models into.

#### AI Inference Workloads

Researchers are continuing to evolve and expand the size, complexity, and diversity of AI models.

#### NVIDIA AI Inference Platform

The NVIDIA AI inference platform delivers the performance, efficiency, and responsiveness that’s critical to powering the next generation of AI applications.

## Register to Access the Technical Overview.

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