WEBINAR
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Date: Wednesday, September 29, 2021
Time: 10:00am – 11:00am PDT
Duration: 1 hour
Time: 10:00am – 11:00am PDT
Duration: 1 hour
AI is driving innovation across businesses of every size and scale. NVIDIA Triton™ Inference Server simplifies the deployment of AI deep learning and machine learning models at scale in production. Deploy trained AI models from any major framework on GPUs and CPUs with high performance. Learn why Triton is the top choice for AI inference.
By attending this webinar, you’ll learn:
- Challenges of inference at scale from development to deployment and how Triton solves these issues
- How to deploy Triton and a demo of key features including support for multiple frameworks, high-performance inference and streamlined model deployment in production
- Top customer use cases
WEBINAR REGISTRATION
THANK YOU FOR REGISTERING FOR THE WEBINAR
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DGX Station Whitepaper
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
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Speakers
Arun Raman
Enterprise Solution Architect, NVIDIAArun Raman is an enterprise solution architect at NVIDIA, where he focuses on helping customers with Deep Learning Infrastructure, ML Ops, Deep Learning and Machine Learning challenges on GPU. He has interest in the inference at scale, NLP, recommendation engines and accelerated ETL. Arun likes learning new technologies, which is shown in his career paths from building networks protocols to now working on Deep Learning. Arun also has a Masters degree in Electrical Engineering from The University of Texas at Dallas.
Mohit Ayani
Solution Architect, NVIDIAMohit Ayani is a Solution Architect on NVIDIA’s CSP team where he helps customers accelerate their AI workloads using Nvidia products. His interest lies in solving business challenges by deploying the optimized AI models from Computer Vision and the NLP domain. Mohit obtained his doctorate degree in Geophysics from the University of Wyoming.
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