AI Inference with NVIDIA Triton and TensorRT

A FLEXIBLE SOLUTION FOR EVERY AI INFERENCE DEPLOYMENT held on Feb 23.

Building a platform for production AI inference is hard.

Join us to learn how to deploy fast and scalable AI inference with NVIDIA Triton™ Inference Server and NVIDIA® TensorRT™. Together, we’ll explore the inference solution that runs on AI models to deliver faster, more accurate predictions and address common pain points. Deployment challenges such as different types of AI model architectures, execution environments, frameworks, computing platforms, and more will be covered.

By attending this webinar, it discussed:

How to optimize, deploy, and scale AI models in production using Triton Inference Server and TensorRT

How Triton streamlines inference serving across multiple frameworks, across different query types (real-time, batch, streaming), on CPUs and GPUs, and with a model analyzer for efficient deployment

How to standardize workflows to optimize models using TensorRT and framework Integrations with PyTorch and TensorFlow

About real-world use cases of customers and the benefits they’re seeing.

source:NVIDA