Running TensorFlow at scale on GPUs (sponsored by NVIDIA)

Neil Truong is a senior field application engineer at NVIDIA with expertise in system management and hardware architecture focused on GPU DL and ML application. He’s supporting the Google platform team to deploy the next-generation GPU hardware and software. He has experience in system on a chip (SoC) and system-level testing process and has managed GPU system design from concept to production.

Kari has been in the hardware and software solution industry for almost 20 years now, spending the last 3 years at NVidia in the data center and deep learning software group creating computing products that help people achieve their life’s work.

Khoa Ho is a solutions architect at NVIDIA, working on natural language processing (NLP) applications and general deep learning at scale. He regularly runs and troubleshoots multinode DL workloads on both cloud and on-premises GPU clusters.