Practical AI Learning about (Deep) Learning
Sep 21, 2020
Will Ramey, Global Head of Developer Programs at NVIDIA, shares his expertise from leading the Deep Learning Institute. He discusses NVIDIA's evolution from a graphics card manufacturer to a leader in AI, emphasizing the role of education in shaping practitioners. Ramey highlights innovative training methods and community engagement, especially at the upcoming GPU Technology Conference. He also addresses the transformation of deep learning education into a global, dynamic platform, reflecting on how rapidly evolving technology impacts various sectors like education and healthcare.
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Will Ramey's NVIDIA Journey
- Will Ramey joined NVIDIA 17 years ago when it was primarily a chip company.
- He transitioned from developer tools product management to working with CUDA, a parallel computing platform.
CUDA's Unexpected AI Impact
- Initially, CUDA was used for scientific computing, like simulations, not AI.
- Researchers discovered that GPUs were ideal for training deep neural networks, leading to the AI revolution.
Cloud Computing's Role in AI Adoption
- Cloud service providers' adoption of GPUs fueled AI's growth, offering accessible compute resources for startups and enterprises.
- This lowered the barrier to entry for AI experimentation and spurred innovation.