NVIDIA WEBINAR
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Register for this webinar to learn how to train your AI models faster with Automatic Mixed Precision in TensorFlow.
Automatic Mixed Precision speeds up deep learning training by 3x on NVIDIA Tensor Cores with a single line of code. This webinar will cover the theory behind mixed-precision, review the API and see how to apply it in model training scripts. Compared to single precision, mixed precision offers many benefits: 2x better use of DRAM bandwidth, smaller memory footprint allowing larger batch sizes or network architectures, and 8x faster raw math throughput using Volta's Tensor Cores.
- What is mixed precision training and how to apply it on NVIDIA Tensor Core GPUs
- Techniques and best practices to maximize performance with mixed precision
- Resources to learn more and get started on your models
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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Speaker
Nathan Luehr
Senior Developer Technology Engineer, NVIDIANathan joined NVIDIA in 2015 where he works to accelerate deep learning frameworks. His background is in theoretical chemistry. He holds a doctoral degree from Stanford University where he worked to accelerate electronic structure calculations on GPUs.
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