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
熱門頭條新聞
- Revolutionizing Legal Work: How Robin AI Accelerates Contract Review
- TyFlow brings Stable Diffusion AI directly into 3ds Max
- Gamescom 2024
- TRANSFORMERS: GALACTIC TRIALS HEADS TO CONSOLES AND PC THIS OCTOBER
- STAKE YOUR CLAIM IN KINGDOM, DUNGEON, AND HERO OUT NOW ON STEAM
- MBC’s Shahid platform announces premiere of ‘Grendizer U’
- Award-Winning Studio Secures 6 Million SEK in Investment
- FARMING SIMULATOR 25 AT FARMCON: GIANTS SOFTWARE ANNOUNCES PRE-STREAM & STAGE SCHEDULE